Creating output file that is 4432P x 4080L. Processing /mnt/output/SSCS/DATA/gebco30_M1.tif [1/1] : 0Using internal nodata values (e.g. 32767) for image /mnt/output/SSCS/DATA/gebco30_M1.tif. Copying nodata values from source /mnt/output/SSCS/DATA/gebco30_M1.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clipgebco.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 554P x 510L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clipgebco.tif [1/1] : 0Using internal nodata values (e.g. 32767) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clipgebco.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clipgebco.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clip_resamp.tif. ...10...20...30...40...50...60...70...80...90...100 - done. machine= siprapp01p-shak operLinux /mnt/output/SSCS ['/mnt/output/SSCS/script_nami/execNami.py', 'exec', '/mnt/output/SSCS/script_nami/runCase.sh', '-dh', '12', '-s', 'ECMWF', '-o', '2022/GDACS/1000951/1_ECMWF'] 12 arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF Bathymetry file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd existing: ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-10 12:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-10 12:00:00 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid creating grid file /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd bboxfile= /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/bbox.txt False trying with nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.00.tropical_cyclone.nc Getting info on /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.00.tropical_cyclone.nc 110.94000244140625 148.02999877929688 2.549999952316284 36.66999816894531 111.0 147.93333333333334 2.6 36.6 gdalwarp -of GTiff -te 111.0 36.6 147.93333333333334 2.6 /mnt/output/SSCS/DATA/gebco30_M1.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clipgebco.tif gdalwarp -of GTiff -tr 0.06666666666666667 0.06666666666666667 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clipgebco.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clip_resamp.tif geoT (111.0, 0.06666666666666667, 0.0, 36.6, 0.0, -0.06666666666666667) DSAA 554 510 111.03333333333333 147.9 2.63333333333334 36.56666666666667 -3377 10874 26 rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clipgebco.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry_clip_resamp.tif bathymetry file created:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] 225 6 111.412598 21.598631 39387|Guangdong| |China|Rudong|5|-1|19 225 11 111.761002 21.625389 39405|Guangdong| |China|Santouzui|5|-1|4 224 12 111.783333 21.65 39408|Guangdong| |China|Hsi-t'ou|6|-1|2 220 26 112.75 21.933333 39446|Guangdong| |China|Dayang|6|-1|2 225 27 112.771301 21.59688 39447|Guangdong|Shangchuan Dao|China|Shadi|5|-1|26 223 27 112.784798 21.75634 39449|Guangdong|Shangchuan Dao|China|Dalangwan|5|-1|15 220 27 112.793098 21.96434 39451|Guangdong| |China|Guanghai|5|-1|2 221 29 112.918999 21.87929 39460|Guangdong| |China|Tonggu|5|-1|5 219 30 112.980698 21.99523 39465|Guangdong| |China|Chixi|5|-1|2 216 31 113.077301 22.206699 39473|Guangdong| |China|Meige|5|-1|2 216 34 113.266667 22.2 39489|Guangdong| |China|Ching-an|6|-1|1 216 34 113.3 22.216667 39493|Guangdong| |China|Baijiao|6|-1|1 204 37 113.478996 22.973379 39512|Guangdong| |China|Lianhuashan|5|-1|2 216 38 113.50471 22.227133 39517|Guangdong| |China|Nanping|5|-1|2 209 38 113.533333 22.7 39527|Guangdong| |China|Wan-ch'ing-sha|6|-1|3 206 38 113.533333 22.883333 39528|Guangdong| |China|Jiang'ouwei|6|-1|9 216 38 113.544202 22.201874 39529|Macau SAR| |Macau (China)|Macau|2|-1|2 217 38 113.55309 22.15737 39532|Macau SAR| |Macau (China)|Taipa|4|-1|2 217 38 113.556564 22.129571 39533|Macau SAR| |Macau (China)|Coloane|4|-1|2 215 39 113.566667 22.283333 39534|Guangdong| |China|Heung chau|6|-1|4 209 39 113.583333 22.65 39537|Guangdong| |China|Cheng'anwei|6|-1|1 207 39 113.6175 22.80555 39540|Guangdong| |China|Fumunchai|5|-1|10 213 39 113.633333 22.416667 39541|Guangdong| |China|Ch'i-ao|6|-1|6 220 40 113.683333 21.95 39547|Guangdong|Dawanshan Dao|China|Wanshan|6|-1|29 217 42 113.816667 22.133333 39567|Guangdong| |China|Lajiwei|6|-1|15 216 43 113.894049 22.223538 39572|Hong Kong SAR| |Hong Kong (China)|Tai Long Wan|5|-1|11 211 44 113.916667 22.533333 39575|Guangdong| |China|Chiu-chieh|6|-1|2 216 45 113.982051 22.226976 39586|Hong Kong SAR| |Hong Kong (China)|Ham Tin|5|-1|13 214 46 114.034526 22.326349 39592|Hong Kong SAR| |Hong Kong (China)|Sz Pak|5|-1|14 214 46 114.093462 22.34228 39599|Hong Kong SAR| |Hong Kong (China)|Nam Wan|5|-1|14 216 47 114.110952 22.229498 39601|Hong Kong SAR| |Hong Kong (China)|Lo Tik Wan|5|-1|21 216 47 114.115799 22.18498 39603|Hong Kong SAR| |Hong Kong (China)|Lo So Shing|5|-1|21 216 48 114.204616 22.21457 39627|Hong Kong SAR| |Hong Kong (China)|Chung Hom Kok|5|-1|25 216 48 114.208559 22.22005 39629|Hong Kong SAR| |Hong Kong (China)|Chek Chue|5|-1|25 216 48 114.216444 22.200805 39631|Hong Kong SAR| |Hong Kong (China)|Tai Tam|5|-1|25 216 48 114.218582 22.214036 39632|Hong Kong SAR| |Hong Kong (China)|Stanley|5|-1|25 215 49 114.237331 22.293221 39639|Hong Kong SAR| |Hong Kong (China)|A Kung Ngam|5|-1|27 215 49 114.239858 22.265273 39640|Hong Kong SAR| |Hong Kong (China)|Chai Wan|5|-1|27 216 49 114.246982 22.208222 39646|Hong Kong SAR| |Hong Kong (China)|Hok Tsui Wan|5|-1|32 210 49 114.264 22.58864 39647|Guangdong| |China|Imtin|5|-1|15 215 49 114.273606 22.284395 39650|Hong Kong SAR| |Hong Kong (China)|Chik Sha|6|-1|27 215 49 114.295623 22.267906 39655|Hong Kong SAR| |Hong Kong (China)|Tei Tong Tsui|6|-1|27 215 50 114.30026 22.289188 39658|Hong Kong SAR| |Hong Kong (China)|Tai Wan Tau|6|-1|30 213 51 114.366798 22.386511 39668|Hong Kong SAR| |Hong Kong (China)|Long Ke|5|-1|22 210 52 114.5 22.6 39682|Guangdong| |China|Taipang|6|-1|2 212 53 114.519501 22.48126 39685|Guangdong| |China|Shagang|5|-1|21 211 54 114.596001 22.52791 39693|Guangdong| |China|Luzui|5|-1|19 207 55 114.6427 22.78039 39705|Guangdong| |China|Hsia-yung|5|-1|14 211 58 114.898499 22.56506 39724|Guangdong| |China|Gangkou|5|-1|24 474 61 115.054497 5.02851 39743| | |Brunei Darussalam|Pekan Muara|4|-1|6 207 62 115.151299 22.81625 39754|Guangdong| |China|Houmen|5|-1|4 470 64 115.2481 5.283138 39765|Wilayah Persekutuan Labuan|Pulau Labuan|Malaysia|Victoria|3|-1|11 207 64 115.249199 22.80508 39766|Guangdong| |China|Magong|5|-1|5 209 67 115.483333 22.7 39795|Guangdong| |China|Tianqian|6|-1|14 209 68 115.557098 22.67486 39804|Guangdong| |China|Zhelang|5|-1|22 207 74 115.944099 22.824471 39864|Guangdong| |China|Hudong|5|-1|18 448 80 116.358398 6.708574 39905|Sabah|Pulau Mantanani Besar|Malaysia|Kampong Mantanani|5|-1|2 204 83 116.510597 23.01638 39919|Guangdong| |China|Jinghai|5|-1|22 199 86 116.733333 23.316667 39942|Guangdong| |China|Aotou|6|-1|4 201 87 116.775902 23.229429 39950|Guangdong| |China|Guangao|5|-1|23 198 87 116.786797 23.3981 39951|Guangdong| |China|Siwei|5|-1|5 446 88 116.842003 6.897037 39955|Sabah| |Malaysia|Kudat|4|32153|25 195 89 116.930199 23.62973 39963|Guangdong| |China|Jingzhou|5|-1|20 196 90 116.991302 23.54347 39967|Guangdong| |China|Huanglong|5|-1|9 198 90 117.017899 23.428961 39974|Guangdong| |China|Houzhai|3|-1|15 427 91 117.043404 8.107009 39978| |Ramos Island|Philippines|Ramos|5|-1|48 429 91 117.063904 7.98299 39982|Southern Tagalog|Balabac Island|Philippines|Balabac|5|9818|187 442 91 117.082497 7.112011 39985|Sabah|Pulau Banggi|Malaysia|Karakit|5|-1|16 426 91 117.087402 8.224178 39986| |Bancalan Island|Philippines|Loudan|5|-1|47 198 92 117.104698 23.40984 39989|Guangdong| |China|Nanao|5|-1|22 195 92 117.129303 23.61132 39991|Guangdong| |China|Chelim|5|-1|8 425 93 117.179199 8.280512 39997| |Dalahican Island|Philippines|Pandanan|5|-1|28 425 93 117.2285 8.288758 40007| |Dalahican Island|Philippines|Bacabaca|5|-1|28 423 94 117.241898 8.39579 40009|Southern Tagalog|Palawan|Philippines|Valdez|5|-1|5 446 94 117.2481 6.865775 40011|Sabah| |Malaysia|Taburan|5|-1|5 193 94 117.259399 23.744789 40012|Fujian| |China|Sidu|5|-1|41 194 94 117.260498 23.684191 40013|Fujian| |China|Dongshan|4|71490|5 426 94 117.283699 8.200043 40017|Southern Tagalog|Bugsuk Island|Philippines|Sebaring|5|-1|7 441 95 117.303497 7.229766 40019|Sabah| |Malaysia|Bilang Bilangan|5|-1|8 422 95 117.336304 8.481996 40021|Southern Tagalog|Palawan|Philippines|Coral|5|-1|22 195 96 117.366798 23.57975 40025|Fujian|Dongshan Dao|China|Gongqiancun|5|-1|44 195 96 117.371101 23.62685 40026|Fujian|Dongshan Dao|China|Chencheng|5|-1|44 190 97 117.465797 23.90625 40036|Fujian| |China|Huqiu|5|-1|40 449 97 117.483333 6.65 40039|Sabah| |Malaysia|Jambongan|6|-1|13 190 97 117.484802 23.931561 40040|Fujian| |China|Wutian|5|-1|40 193 98 117.501999 23.73951 40044|Fujian|Dongshan Dao|China|Chengguanzhen|3|-1|10 419 98 117.510498 8.656259 40045|Southern Tagalog|Palawan|Philippines|Tarusan|5|3101|12 421 98 117.512299 8.547286 40046| |Palawan|Philippines|Sarap|5|-1|42 420 98 117.513 8.600734 40048|Southern Tagalog|Palawan|Philippines|Iwahig|5|-1|2 419 98 117.557899 8.67175 40055|Southern Tagalog|Palawan|Philippines|Bonobono|5|-1|12 419 99 117.590599 8.677869 40061|Southern Tagalog|Palawan|Philippines|Malihud|5|-1|3 193 99 117.593903 23.76018 40064|Fujian| |China|Guleitou|5|-1|11 191 99 117.611 23.84445 40066|Fujian| |China|Gangkou|5|-1|19 500 100 117.639 3.243018 40074|Kalimantan Timur|Pulau Tarakan|Indonesia|Peningki|5|-1|42 456 100 117.65 6.233333 40078|Sabah|Pulau Kaniogan|Malaysia|Kampong Kaniogan|6|-1|2 189 100 117.676804 23.97056 40085|Fujian| |China|Hsia-mei|5|-1|29 419 100 117.688797 8.690887 40087|Southern Tagalog|Palawan|Philippines|Males|5|-1|11 454 101 117.716667 6.333333 40093|Sabah| |Malaysia|Tagahan|6|-1|3 190 101 117.75 23.933333 40096|Fujian| |China|Liu'ao|6|-1|8 418 102 117.774902 8.717121 40100|Southern Tagalog|Palawan|Philippines|Tacbolubu|5|-1|28 418 102 117.797501 8.75508 40102|Southern Tagalog|Palawan|Philippines|Buligay|5|-1|28 189 102 117.816667 24.033333 40106|Fujian| |China|Shentu|6|-1|8 417 103 117.835503 8.775811 40108| |Palawan|Philippines|Brookes Point|5|-1|41 417 103 117.858101 8.798482 40111| |Palawan|Philippines|Lara|5|-1|41 182 105 117.966667 24.466667 40126|Fujian| |China|Haicang|6|-1|10 485 105 118.018997 4.242722 40133|Sabah| |Malaysia|Kpg Menbalua|5|-1|2 415 105 118.030899 8.953185 40135|Southern Tagalog|Palawan|Philippines|Karasanan|5|-1|26 182 105 118.0317 24.449739 40136|Fujian| |China|Songyu|5|700|10 459 106 118.033997 6.022432 40139|Sabah| |Malaysia|Kampong Tabanka|5|-1|5 183 106 118.05 24.366667 40142|Fujian| |China|Xucuo|6|-1|5 183 106 118.054497 24.398689 40144|Fujian| |China|Gulangyu|3|-1|5 414 106 118.058197 9.02704 40145|Southern Tagalog|Palawan|Philippines|Labog|5|3413|8 185 106 118.083333 24.266667 40151|Fujian| |China|Chen-hai|6|-1|6 413 106 118.085403 9.098904 40153|Southern Tagalog|Palawan|Philippines|Panitan|5|-1|7 412 107 118.114799 9.158805 40157|Southern Tagalog|Palawan|Philippines|Aboabo|5|-1|29 182 107 118.116667 24.483333 40158|Fujian| |China|Jiangtou|6|-1|2 485 107 118.120003 4.295232 40159|Sabah| |Malaysia|Kampong Wakuba|5|-1|10 185 107 118.120102 24.284081 40160|Fujian| |China|Zhenhai|5|1400|22 485 108 118.174103 4.298294 40165|Sabah| |Malaysia|Kpg Indarasabak|5|-1|19 181 109 118.237701 24.55415 40178|Fujian| |China|Aotou|5|820|18 180 109 118.245003 24.62277 40179|Fujian| |China|Xindian|3|8145|47 183 109 118.246803 24.433081 40181|Kinmen (Jinmen - Quemoy)|Hsiao-chin-men Tao|Taiwan|An-ting|5|-1|11 411 110 118.345596 9.191145 40191|Southern Tagalog|Palawan|Philippines|Batonbaton|5|-1|24 180 110 118.345802 24.59626 40192|Fujian| |China|Lianhe|5|2130|49 180 111 118.4198 24.627291 40200|Fujian| |China|Shijing|5|4000|5 444 113 118.507401 6.977116 40215|Southern Tagalog|Kagayan de Sulu Island|Philippines|Lupa Pula|5|-1|252 443 113 118.509903 7.03792 40216|Southern Tagalog|Kagayan de Sulu Island|Philippines|Dohol Bato|5|-1|314 408 113 118.514198 9.385487 40217|Southern Tagalog|Palawan|Philippines|Ramon Magsaysay|5|-1|21 481 114 118.570396 4.552094 40222|Sabah| |Malaysia|Silawa|5|-1|9 481 114 118.573097 4.504727 40223|Sabah| |Malaysia|Bahru|5|-1|9 483 114 118.574898 4.432905 40224|Sabah| |Malaysia|Kpg Sen Buligisan|5|-1|4 475 114 118.580002 4.959963 40225|Sabah| |Malaysia|Kilang Balak Bakapit|5|-1|75 181 114 118.5961 24.53307 40229|Fujian| |China|Weitou|5|-1|23 402 115 118.677696 9.778612 40242|Southern Tagalog|Palawan|Philippines|Malamig|5|-1|2 179 115 118.680603 24.67864 40244|Fujian| |China|Yongning|5|8460|14 402 115 118.6931 9.807881 40246|Southern Tagalog|Palawan|Philippines|Irahuan|5|-1|2 400 116 118.701103 9.911647 40250|Southern Tagalog|Palawan|Philippines|Bacungan|5|3955|14 176 116 118.707001 24.85626 40251|Fujian| |China|Shihu|5|3200|10 401 116 118.727303 9.835156 40253| |Palawan|Philippines|Tagburos|5|4112|7 403 116 118.730003 9.741373 40255| |Palawan|Philippines|Puerto Princesa|3|155254|55 178 116 118.764801 24.763439 40260|Fujian| |China|Hsiang-chih|5|-1|20 400 117 118.811897 9.952218 40268| |Palawan|Philippines|Nacidoc|5|-1|17 474 117 118.819 4.997482 40271|Sabah| |Malaysia|Makuau|5|-1|34 399 118 118.862297 9.984131 40279|Southern Tagalog|Palawan|Philippines|Maruyogon|5|-1|2 474 118 118.867203 5.003531 40282|Sabah| |Malaysia|Kpg Lapasan|5|-1|60 176 119 118.9 24.883333 40287|Fujian| |China|Qian'an|6|-1|24 170 119 118.9 25.283333 40288|Fujian| |China|Dongsha|6|-1|49 399 119 118.911903 9.990757 40290|Southern Tagalog|Palawan|Philippines|Babuyan|5|-1|17 176 119 118.930496 24.8843 40295|Fujian| |China|Chongwu|3|-1|24 170 119 118.95 25.3 40296|Fujian| |China|Lingchuan|6|-1|49 172 119 118.954903 25.12495 40297|Fujian| |China|Fengwei|5|-1|5 174 120 118.983333 24.966667 40304|Fujian| |China|Hsiao-tso|6|-1|3 473 120 118.988403 5.057895 40306|Sabah| |Malaysia|Kpg Sabahat|5|-1|23 399 120 118.988503 9.999349 40307|Southern Tagalog|Palawan|Philippines|Tanabag|5|-1|33 172 122 119.1035 25.158581 40318|Fujian| |China|P'u-hsi|5|-1|13 167 122 119.108299 25.460529 40319|Fujian| |China|Hanjiang|3|-1|82 172 122 119.116667 25.133333 40321|Fujian| |China|P'u-hsi-ch'eng|6|-1|13 173 122 119.133333 25.083333 40325|Fujian|Meizhou Dao|China|Meizhou|6|-1|12 26 123 119.166667 34.9 40330|Jiangsu| |China|Hsing-chuang|6|-1|8 25 123 119.166667 34.933333 40331|Jiangsu| |China|Haitou|6|-1|2 23 123 119.1689 35.049721 40332|Jiangsu| |China|Shiqiao|5|-1|12 167 123 119.178703 25.479429 40334|Fujian| |China|Chiang-k'ou|5|-1|4 24 123 119.2 35.016667 40337|Jiangsu| |China|Jiuliqi|6|-1|2 398 123 119.202797 10.07824 40338|Southern Tagalog|Palawan|Philippines|Tinitian|5|-1|163 23 123 119.216667 35.066667 40343|Jiangsu| |China|Che-wang|6|-1|12 396 124 119.236 10.18861 40345|Southern Tagalog|Palawan|Philippines|Caramay|5|2494|10 470 124 119.25 5.283333 40346|Sabah| |Malaysia|Kampong Ateamu|6|-1|30 171 124 119.269897 25.186661 40351|Fujian| |China|Pinghai|5|-1|5 381 124 119.283333 11.183333 40353| |Matinloc Island|Philippines|Calmung|6|-1|55 198 125 119.316667 23.4 40361|Penghu| |Taiwan|Hua-hsu|6|-1|47 167 125 119.320999 25.4809 40363|Fujian| |China|Tangbian|3|-1|2 382 125 119.331802 11.10002 40365| |Palawan|Philippines|Pagauanen|5|-1|31 394 125 119.347801 10.32545 40373|Southern Tagalog|Palawan|Philippines|Roxas|5|15094|16 170 125 119.3526 25.262171 40376|Fujian| |China|Shicheng|5|-1|4 20 126 119.366667 35.283333 40383|Shandong| |China|Taolekow|6|-1|4 394 126 119.386902 10.36328 40387|Southern Tagalog|Palawan|Philippines|San Nicholas|5|-1|20 479 126 119.400002 4.678711 40389| |Sitankai Island|Philippines|Sitangkai|5|16998|121 201 126 119.415703 23.211 40391|Penghu| |Taiwan|Chung-p'ing|5|-1|30 28 127 119.442299 34.73621 40399|Jiangsu| |China|Dongxi Liandao|3|-1|3 164 127 119.45 25.666667 40402|Fujian| |China|Haikou|6|-1|56 476 127 119.458298 4.864885 40405|Western Mindanao|Sibutu Island|Philippines|Sibutu|5|-1|134 171 127 119.458504 25.2314 40406|Fujian|Nanri Dao|China|Nanri|5|-1|2 165 127 119.459396 25.613569 40407|Fujian| |China|Longtian|3|-1|40 165 127 119.466667 25.566667 40410|Fujian| |China|Gangtou|6|-1|40 479 127 119.468697 4.662637 40413|Western Mindanao|Sibutu Island|Philippines|Ligayan|5|2279|45 385 127 119.482399 10.96657 40415|Southern Tagalog|Palawan|Philippines|Palarican|5|-1|21 478 127 119.493103 4.737716 40418|Western Mindanao|Sibutu Island|Philippines|Sibalo|5|-1|2 383 128 119.500198 11.03573 40423|Southern Tagalog|Palawan|Philippines|Palalong|5|-1|10 198 128 119.516667 23.366667 40427|Penghu| |Taiwan|Chiang-chun-ao|6|-1|48 196 128 119.535797 23.542509 40440|Penghu| |Taiwan|Feng-kuei-li|5|-1|24 167 128 119.536797 25.464951 40441|Fujian| |China|Gaoshan|5|-1|16 171 128 119.538498 25.19652 40443|Fujian|Nanri Dao|China|Fuye|5|-1|13 379 128 119.542198 11.3231 40444|Southern Tagalog|Palawan|Philippines|Dipnay|5|-1|5 18 128 119.5438 35.382881 40447|Shandong| |China|Shijiusuo|3|-1|9 194 128 119.550003 23.66185 40451|Penghu|Pai-sha Tao|Taiwan|Ch'ang-an|5|-1|9 380 128 119.560204 11.27048 40453|Southern Tagalog|Palawan|Philippines|Sibaltan|5|-1|9 393 129 119.574303 10.42533 40457|Southern Tagalog|Palawan|Philippines|Ilian|5|-1|18 158 129 119.576401 26.08976 40458|Fujian| |China|Langqi|3|-1|2 162 129 119.583333 25.816667 40461|Fujian| |China|Chiang-t'ien|6|-1|5 157 129 119.583333 26.133333 40462|Fujian| |China|Changmen|6|-1|2 196 129 119.58625 23.561798 40463|Penghu| |Taiwan|Ma-kung|2|-1|19 387 129 119.586304 10.79525 40464|Southern Tagalog|Palawan|Philippines|Bantulan|5|-1|47 196 129 119.589699 23.520821 40466|Penghu| |Taiwan|Chu-mu-shui|5|-1|19 193 129 119.6 23.75 40470|Penghu|Chi-pei Tao|Taiwan|Chi-pei|6|-1|6 158 129 119.6008 26.041941 40471|Fujian| |China|Tantou|5|1630|2 157 129 119.602997 26.10726 40472|Fujian| |China|Fengwo|5|-1|2 382 129 119.6091 11.16119 40475| |Batas Island|Philippines|Batas|5|-1|40 158 129 119.616667 26.066667 40479|Fujian| |China|Yunlong|6|-1|2 156 130 119.65 26.216667 40488|Fujian| |China|Baisheng|6|-1|3 392 130 119.651802 10.47232 40489|Southern Tagalog|Palawan|Philippines|Capayas|5|-1|26 153 130 119.654297 26.371519 40490|Fujian| |China|Mabi|3|-1|2 378 130 119.655197 11.40861 40491| |Calibang Island|Philippines|Calibangbangan|5|-1|81 195 130 119.665298 23.567221 40492|Penghu| |Taiwan|Lung-men|5|-1|8 147 130 119.666667 26.816667 40496|Fujian| |China|Hsia-pai-shih|6|-1|2 392 130 119.672798 10.49954 40499|Southern Tagalog|Palawan|Philippines|Santa Teresita|5|-1|26 160 130 119.680801 25.948709 40501|Fujian| |China|Wuhang|3|-1|6 383 131 119.713799 11.03906 40503|Palawan| |Philippines|Casian|5|2638|55 167 131 119.75 25.466667 40509|Fujian|Haitan Dao|China|Beicuo|6|-1|5 168 131 119.757301 25.401661 40511|Fujian|Haitan Dao|China|Cao Yu|4|-1|27 474 132 119.770103 5.030098 40518| |Bongao Island|Philippines|Bongao|5|26358|14 310 132 119.780197 15.9378 40523|Ilocos| |Philippines|Tambobong|5|-1|36 166 132 119.785599 25.53229 40527|Fujian|Haitan Dao|China|Pingtan|5|-1|15 392 132 119.788002 10.46256 40529|Southern Tagalog|Dumaran Island|Philippines|Bacao|5|-1|23 155 132 119.797401 26.2812 40531|Fujian| |China|Ting-hai|5|-1|20 378 132 119.817703 11.38873 40539|Southern Tagalog|Linapacan Island|Philippines|San Nicolas|5|-1|41 153 133 119.835297 26.37993 40547|Fujian| |China|Anhai|5|-1|8 477 133 119.843697 4.802008 40549| |Manuk Manka Island|Philippines|Luuk Datan|5|2536|1427 476 133 119.843903 4.892039 40550| |Simunul Island|Philippines|Simunul|5|-1|262 151 133 119.849297 26.528139 40554|Fujian| |China|Tung-ch'ung|5|-1|22 148 133 119.857903 26.70134 40557|Fujian| |China|Xinan|5|3670|2 166 133 119.862396 25.545271 40560|Fujian|Haitan Dao|China|Houtian|5|-1|29 376 133 119.866096 11.50035 40561|Southern Tagalog|Linapacan Island|Philippines|Linapacan|5|2925|31 473 133 119.889328 5.071724 40582|Western Mindanao| |Philippines|Malaka|5|-1|25 392 133 119.893402 10.49386 40586|Southern Tagalog|Dumaran Island|Philippines|Bohol|5|-1|34 303 134 119.915901 16.392929 40597| |Santiago Island|Philippines|Lucero|5|2980|2 157 134 119.95 26.15 40611|Lianjiang| |Taiwan|Ch'ang-t'an-wo|6|-1|30 303 134 119.950798 16.3836 40612| |Santiago Island|Philippines|Pilar|5|-1|2 305 134 119.950897 16.288151 40613|Ilocos|Cabarruyan Island|Philippines|Anda|5|3126|2 304 135 119.971199 16.327459 40617|Ilocos|Cabarruyan Island|Philippines|Dolaoan|5|-1|15 150 135 119.971397 26.60869 40618|Fujian| |China|Xiahu|5|5070|11 391 135 119.993896 10.56379 40628|Southern Tagalog|Dumaran Island|Philippines|Tinintinan|5|-1|72 305 135 119.999001 16.23485 40630|Ilocos|Cabarruyan Island|Philippines|Santiago|5|-1|2 474 135 120.0 5.0 40631|Bilatan Island|Bilatan Island|Philippines|Bagsac|6|-1|94 471 135 120.0 5.166667 40632|Western Mindanao| |Philippines|Bakung|6|-1|67 147 135 120.0 26.8 40633|Fujian| |China|Hanjiang|6|-1|12 304 135 120.004204 16.304079 40634|Ilocos|Cabarruyan Island|Philippines|Tondol|5|2672|15 373 135 120.0308 11.76452 40640|Southern Tagalog|Culion Island|Philippines|Molpok|5|-1|33 152 136 120.05 26.5 40646|Fujian|Xiyang Dao|China|Da'ao|6|-1|24 370 136 120.058899 11.92575 40652|Palawan|Chindonan Island|Philippines|Culion|5|-1|42 307 136 120.082603 16.11697 40659|Ilocos| |Philippines|Panasgasan|5|-1|76 307 136 120.085602 16.160009 40661|Pangasinan| |Philippines|Nabaul|5|-1|76 372 137 120.102798 11.82541 40667|Palawan|Tambon Island|Philippines|Bataguanan|5|-1|21 378 137 120.105797 11.37483 40668| |Beni Island|Philippines|Cabulauan|5|-1|65 149 137 120.113098 26.65336 40670|Fujian| |China|Luxia|5|-1|16 341 137 120.125702 13.85554 40678|Southern Tagalog|Cabra Island|Philippines|Bolboc|5|-1|8 328 137 120.133598 14.76298 40681|Central Luzon| |Philippines|Silanguin|5|-1|64 373 137 120.159203 11.75858 40689| |Bulusan|Philippines|Bulalacao|5|2348|26 144 138 120.166667 26.966667 40691|Fujian| |China|Yacheng|6|-1|2 377 138 120.170998 11.44505 40693| |Cobrador Island|Philippines|Nangalao|5|-1|62 8 138 120.216667 36.05 40715|Shandong| |China|Houwan|6|-1|7 145 138 120.218697 26.92613 40716|Fujian| |China|Sansha|5|-1|16 10 138 120.226196 35.964352 40719|Shandong| |China|Yantaiqian|5|-1|21 9 138 120.233333 36.0 40725|Shandong| |China|Xianlang|6|-1|2 343 139 120.249298 13.72274 40731|Southern Tagalog|Cabra Island|Philippines|Looc|5|2586|28 389 139 120.25 10.65 40733| |San Andres|Philippines|Calandagan|6|-1|82 370 139 120.2575 11.92977 40737|Southern Tagalog|Coron Island|Philippines|Bangwang Daan|5|-1|16 370 139 120.265099 11.96168 40742|Southern Tagalog|Coron Island|Philippines|Banuang Daan|5|-1|16 35 139 120.277802 34.261082 40751|Jiangsu| |China|Ta-yu-chien|5|-1|7 9 139 120.283333 35.983333 40754|Shandong| |China|Beizhuang|6|-1|15 69 140 120.316667 32.016667 40767|Jiangsu| |China|Baimu|6|-1|7 8 140 120.316667 36.066667 40768|Shandong| |China|Ch'ing-tao|6|-1|10 8 140 120.343002 36.08757 40786|Shandong| |China|Qingdao|2|1867400|10 471 140 120.35 5.216667 40791| |Pasegan Gulmba Island|Philippines|Batan|6|-1|69 69 140 120.35 32.016667 40793|Jiangsu| |China|Sanzhewei|6|-1|7 286 140 120.360497 17.535839 40804|Ilocos Sur| |Philippines|Fuarte|5|-1|96 8 141 120.366667 36.066667 40810|Shandong| |China|Fushansuo|6|-1|20 348 141 120.367104 13.38993 40812|Southern Tagalog|Mindoro|Philippines|Ignonoc|5|-1|51 214 141 120.369301 22.349791 40813|Pingtung| |Taiwan|Liu-chiu Hsu|3|-1|89 142 141 120.378601 27.14716 40817|Fujian| |China|Shacheng|5|-1|7 344 141 120.383333 13.65 40821| |Ambil Island|Philippines|Bocboc|6|-1|104 39 141 120.383333 33.983333 40825|Jiangsu| |China|Shuangyangzha|6|-1|2 68 141 120.416667 32.083333 40844|Jiangsu| |China|Dunyi|6|-1|3 141 142 120.45 27.233333 40869|Zhejiang| |China|Pucheng|6|-1|2 350 142 120.483333 13.3 40890|Southern Tagalog|Mindoro|Philippines|Maslud|6|-1|84 327 143 120.506897 14.83251 40898|Central Luzon| |Philippines|Hermosa|4|33556|2 138 143 120.533333 27.383333 40908|Zhejiang| |China|Sha-fan-chieh|6|-1|33 7 143 120.533333 36.116667 40910|Shandong| |China|Shazikou|6|4750|5 328 143 120.534112 14.728842 40911|Central Luzon| |Philippines|Abucay|4|35096|2 327 143 120.534302 14.80101 40912|Central Luzon| |Philippines|Orani|4|44321|2 455 143 120.536499 6.243458 40916|Western Mindanao|Pangutaran Island|Philippines|Tubig Maasin|5|-1|74 327 143 120.540199 14.76815 40917|Central Luzon| |Philippines|Samal|4|29561|2 457 143 120.55 6.133333 40923|Sulu|Usada Island|Philippines|Usad|6|-1|74 454 144 120.5784 6.300691 40935|Western Mindanao|Pangutaran Island|Philippines|Pangutaran|5|-1|50 330 144 120.579002 14.61869 40936|Central Luzon| |Philippines|Orion|4|46622|24 332 144 120.588699 14.45205 40941|Central Luzon| |Philippines|Cabcaben|5|5873|40 331 144 120.593903 14.5604 40942|Central Luzon| |Philippines|Limay|4|52439|32 351 144 120.598396 13.22717 40944|Southern Tagalog|Mindoro|Philippines|Mamburao|5|23646|20 471 144 120.633333 5.233333 40965| |Bintoulan Island|Philippines|Bintaualan|6|-1|13 342 145 120.637497 13.83136 40971|Southern Tagalog| |Philippines|Calatagan|5|15901|236 93 145 120.643889 30.423889 40976|Zhejiang| |China|Dingqiao|6|-1|9 453 145 120.666667 6.416667 40985| |Kulassein Island|Philippines|Kulassian|6|-1|16 341 145 120.668701 13.86536 40986|Batangas| |Philippines|Bucal|5|-1|43 4 145 120.677597 36.364281 40990|Shandong| |China|Aoshanwei|4|-1|4 68 145 120.683333 32.066667 40995|Jiangsu| |China|Ligang|6|-1|2 93 145 120.688333 30.42 40997|Zhejiang| |China|Chaoyang|6|-1|9 379 145 120.6894 11.32021 40998| |Pamalican Island|Philippines|Manamoc|5|-1|2 340 145 120.696297 13.91756 41000|Southern Tagalog| |Philippines|Navotas|5|-1|25 340 146 120.700104 13.94734 41002|Southern Tagalog| |Philippines|Canda|5|-1|115 69 146 120.716667 31.983333 41010|Jiangsu| |China|Jingliuwei|6|-1|5 220 146 120.725944 21.927785 41014|Pingtung| |Taiwan|Maobitou|3|-1|110 220 146 120.729202 21.949949 41015|Pingtung| |Taiwan|Ta-kuang|5|-1|110 340 146 120.7313 13.94215 41018|Southern Tagalog| |Philippines|Balayan|4|50090|115 467 146 120.733333 5.466667 41020| |Tapaan Island|Philippines|Bukut|6|-1|173 69 146 120.75 32.033333 41032|Jiangsu| |China|Qianduanjiawei|6|-1|5 453 147 120.783333 6.433333 41043| |Tubigan Island|Philippines|Tubigan|6|-1|21 94 147 120.790802 30.358879 41048|Zhejiang| |China|Huangwan|3|-1|26 220 147 120.794416 21.947859 41049|Pingtung| |Taiwan|Kenting|4|-1|15 129 147 120.8 27.966667 41050|Zhejiang| |China|Longwan|6|-1|3 69 147 120.8 32.033333 41052|Jiangsu| |China|Lu-ching-chiang|6|-1|10 464 147 120.807404 5.695771 41055| |Lugus Island|Philippines|Bas Mangkalay|5|-1|39 129 147 120.810278 28.031944 41057|Zhejiang| |China|Gao'ao|6|-1|3 340 147 120.811996 13.93732 41058|Southern Tagalog| |Philippines|Calaca|5|36745|59 220 148 120.841103 21.925631 41068|Pingtung| |Taiwan|O-luan-pi|3|-1|329 130 148 120.85 27.933333 41072|Zhejiang| |China|Xiaodoumen|6|-1|6 465 148 120.858498 5.575788 41077|Western Mindanao|Siasi Island|Philippines|Siasi|5|12562|16 215 148 120.860199 22.29364 41079|Taitung| |Taiwan|Ta-wu|3|-1|18 216 148 120.869301 22.19413 41085|Pingtung| |Taiwan|Hsu-hai|5|-1|35 217 148 120.8722 22.138399 41086|Pingtung| |Taiwan|Chiang tzu|5|-1|24 457 148 120.883333 6.133333 41092|Sulu| |Philippines|Tongtong|6|-1|244 70 148 120.883333 31.95 41095|Jiangsu| |China|Zhaoqiao|6|-1|9 91 149 120.923599 30.51475 41115|Zhejiang| |China|Haiyan|5|-1|4 129 149 120.928056 28.004167 41116|Zhejiang| |China|Hsia-chia-fou|6|-1|2 212 149 120.930801 22.46439 41117|Taitung| |Taiwan|Hsia-ta-chi|5|-1|508 380 149 120.931099 11.24073 41118| |Oco Island|Philippines|Diit|5|-1|71 93 149 120.933333 30.433333 41119|Zhejiang| |China|Changchuanba|6|-1|3 344 149 120.936096 13.65533 41125| |Marcaban Island|Philippines|Gamao|5|-1|270 343 149 120.942001 13.75607 41128|Batangas| |Philippines|Mabini|5|2749|336 382 149 120.942497 11.15548 41129|Palawan|Agutaya Island|Philippines|Agatuya|5|-1|70 384 149 120.95 10.983333 41132| |Matarbis|Philippines|Canipo|6|-1|10 91 149 120.95 30.55 41133|Zhejiang| |China|Baizhuzhen|6|-1|4 211 149 120.955803 22.529909 41135|Taitung| |Taiwan|Chin-lun|5|-1|239 129 149 120.963611 28.010833 41138|Zhejiang| |China|Dituan|6|-1|2 456 150 120.966667 6.183333 41140| |Bubuan Island|Philippines|Bubuam|6|-1|268 134 150 120.966667 27.666667 41141|Zhejiang| |China|Beilong|6|-1|16 128 150 120.968056 28.097778 41142|Zhejiang| |China|Shih-ma-chuang|6|-1|38 387 150 120.981297 10.821021 41147| |Bisucay Island|Philippines|Banda|5|-1|27 91 150 120.983333 30.55 41150|Zhejiang| |China|Changqian|6|-1|4 90 150 120.983333 30.6 41151|Zhejiang| |China|Xitang|6|-1|6 460 150 120.990799 5.922709 41155|Western Mindanao|Jolo Island|Philippines|Bato-Ugis|5|-1|20 210 150 120.994598 22.61278 41159|Taitung| |Taiwan|Tai-ma|5|-1|671 127 150 120.998333 28.145833 41160|Zhejiang| |China|Baisha|6|-1|43 90 150 121.015833 30.615 41166|Zhejiang| |China|Wai-wang-chuang-ch'iao|6|-1|6 366 150 121.016667 12.216667 41167|Mindoro Occidental| |Philippines|Ambulong|6|-1|19 460 150 121.023499 5.929063 41172|Western Mindanao|Jolo Island|Philippines|Dandulit|5|-1|20 90 151 121.047222 30.593056 41179|Zhejiang| |China|Cheng-chia-tai|6|-1|11 208 151 121.048302 22.7092 41182|Taitung| |Taiwan|Chien-ho|5|-1|91 126 151 121.05 28.166667 41183|Zhejiang| |China|P'u-ch'i|6|-1|40 346 151 121.054398 13.56282 41186|Batangas| |Philippines|Pajo|5|-1|290 387 151 121.056198 10.83187 41187|Southern Tagalog|Cuyo Island|Philippines|Balaguen|5|-1|61 386 151 121.062698 10.88186 41190|Southern Tagalog|Cuyo Island|Philippines|Cuyo|5|7417|42 90 151 121.083298 30.61121 41207|Zhejiang| |China|Zhapu|3|-1|11 72 151 121.083333 31.8 41208|Jiangsu| |China|Lixinzha|6|-1|12 366 152 121.115196 12.18797 41220|Southern Tagalog|Templo Island|Philippines|Santa Teresa|5|3165|74 90 152 121.1175 30.6125 41222|Zhejiang| |China|Niu-ch'iao-shih|6|-1|15 365 152 121.121101 12.25216 41224|Southern Tagalog|Mindoro|Philippines|Mangarin B|5|-1|7 130 152 121.124001 27.963511 41225|Zhejiang|Damen Dao|China|Touyan|5|-1|16 132 152 121.133333 27.8 41226|Zhejiang| |China|Banping|6|-1|11 132 152 121.133333 27.833333 41227|Zhejiang|Dongtou Dao|China|Bei'ao|6|-1|11 208 152 121.141899 22.757549 41230|Taitung| |Taiwan|Tai-tung|3|-1|114 460 152 121.150299 5.937248 41233|Western Mindanao|Jolo Island|Philippines|Kabungkul|5|-1|24 89 152 121.162778 30.646667 41240|Zhejiang| |China|Hsing-hsing-chen|6|-1|3 74 153 121.166667 31.65 41244|Jiangsu| |China|Dujiaqiao|6|-1|40 207 153 121.176102 22.798361 41246|Taitung| |Taiwan|Chi-hsing|5|-1|617 89 153 121.195 30.683333 41252|Zhejiang| |China|Chou-chia-peng|6|-1|13 405 153 121.216667 9.583333 41258| |Boliungan|Philippines|Cagayancillo|6|-1|132 206 153 121.233333 22.9 41265|Taitung| |Taiwan|Hsin-ch'ang-ts'un|6|-1|226 263 154 121.2388 19.060101 41269|Cagayan Valley|Dalupiri Island|Philippines|Visita|5|-1|213 89 154 121.25 30.7 41274|Shanghai| |China|Chin-ssu-niang-ch'iao|6|-1|12 461 154 121.266403 5.885574 41279|Sulu|Jolo Island|Philippines|Kalingalan Caluang|5|-1|95 128 154 121.270798 28.09127 41282|Zhejiang|Yuhuan Dao|China|Kanmen|4|-1|7 266 154 121.283096 18.877609 41284| |Fuga Island|Philippines|Poso|5|-1|22 349 155 121.3078 13.32431 41294|Southern Tagalog|Mindoro|Philippines|Naujan|4|2784|126 460 155 121.3134 5.962995 41296|Western Mindanao|Jolo Island|Philippines|Luuk|5|9454|22 88 155 121.316704 30.721581 41300|Shanghai| |China|Jinshanwei|3|-1|17 204 155 121.320099 23.02755 41301|Taitung| |Taiwan|Hsin-i|5|-1|88 460 155 121.341797 5.917912 41310|Western Mindanao|Jolo Island|Philippines|Sukuban|5|-1|22 88 155 121.35 30.733333 41314|Shanghai| |China|Chin-shan-tsui|6|-1|17 319 156 121.371902 15.31711 41327|Southern Tagalog| |Philippines|Cabog|5|2912|88 75 156 121.382896 31.623541 41333|Jiangsu|Chongming Dao|China|Chongming|3|-1|2 459 156 121.385002 6.00748 41336|Western Mindanao|Jolo Island|Philippines|Patotol|5|-1|162 202 156 121.385597 23.154079 41337|Taitung| |Taiwan|San Hsien Tai|3|-1|140 368 156 121.392097 12.07044 41338| |Jintotolo Island|Philippines|Semirara|5|5412|188 126 156 121.4 28.233333 41341|Zhejiang| |China|Lingmen|6|-1|3 125 156 121.4 28.283333 41342|Zhejiang| |China|Aohuan|6|-1|2 201 156 121.401604 23.227659 41350|Taitung| |Taiwan|Wu-shih Pi|3|-1|73 344 156 121.401802 13.67971 41351|Batangas| |Philippines|Laiya|4|7438|260 266 156 121.406502 18.862619 41353|Cagayan Valley|Fuga Island|Philippines|Sorongan|5|-1|159 260 156 121.407898 19.295191 41354| |Calayan Island|Philippines|Kaniwalan|5|-1|264 460 156 121.409698 5.948949 41355|Western Mindanao|Jolo Island|Philippines|Ganon|5|-1|281 318 156 121.4133 15.38933 41356|Southern Tagalog| |Philippines|Dingalan|5|7193|35 125 156 121.433333 28.3 41371|Zhejiang| |China|Guan'ao|6|-1|2 75 156 121.433333 31.616667 41372|Jiangsu|Chongming Dao|China|Houjiazhen|6|-1|2 106 157 121.435278 29.539722 41376|Zhejiang| |China|Chiang-chia-ao-ts'un|6|-1|151 351 157 121.442001 13.19568 41380|Southern Tagalog|Mindoro|Philippines|Magulon|5|-1|99 361 157 121.442299 12.52864 41381|Southern Tagalog|Mindoro|Philippines|Mansalay|4|22856|46 199 157 121.442902 23.319691 41383|Taitung| |Taiwan|Chia-tsou-wan Pi|3|-1|309 260 157 121.448601 19.273729 41386| |Calayan Island|Philippines|Nagsidel|5|-1|71 272 157 121.457603 18.442739 41392|Cagayan Valley| |Philippines|Abulug|5|2367|23 356 157 121.458504 12.86202 41393|Southern Tagalog|Mindoro|Philippines|Bansud|5|13540|115 198 157 121.467796 23.416269 41399|Hualien| |Taiwan|Chang-yuan|5|-1|144 357 157 121.472099 12.78316 41402|Southern Tagalog|Mindoro|Philippines|Labasan|5|4172|55 260 157 121.4758 19.267639 41406|Cagayan Valley|Calayan Island|Philippines|Dadao|5|-1|71 355 157 121.4785 12.96268 41408|Southern Tagalog|Mindoro|Philippines|Batingan|5|-1|143 197 157 121.479797 23.45701 41411|Hualien| |Taiwan|Ta-chiang-k'ou|5|-1|163 106 157 121.483333 29.548056 41416|Zhejiang| |China|Chang-hu-ts'un|6|-1|151 87 157 121.483333 30.833333 41417|Shanghai| |China|Che-lin|6|-1|6 353 157 121.486504 13.03957 41426|Southern Tagalog|Mindoro|Philippines|Pinamalayan|4|42870|28 197 157 121.490601 23.477341 41430|Hualien| |Taiwan|Shih-ti-ping|3|-1|163 323 158 121.5 15.05 41436|Southern Tagalog| |Philippines|Kinasakitan|6|-1|109 341 158 121.503304 13.86611 41443|Southern Tagalog| |Philippines|Sumaguil|5|-1|193 360 158 121.508102 12.57132 41446|Southern Tagalog|Mindoro|Philippines|Roxas|5|14111|326 195 158 121.512703 23.599661 41447|Hualien| |Taiwan|Feng-pin|5|-1|172 311 158 121.516667 15.85 41449|Southern Tagalog| |Philippines|Buenavista|6|-1|40 193 158 121.535202 23.70882 41465|Hualien| |Taiwan|Chia-lu-lan|5|-1|25 359 158 121.543999 12.65761 41470|Southern Tagalog|Mindoro|Philippines|Cawayan|5|2883|45 341 158 121.555099 13.88263 41475|Southern Tagalog| |Philippines|Castanas|5|-1|193 76 159 121.566667 31.55 41481|Jiangsu|Chongming Dao|China|Youcheqiao|6|-1|7 98 159 121.571389 30.062222 41483|Zhejiang| |China|Ch'iu-wang|6|-1|2 370 159 121.572701 11.91628 41484| |Molocamboc Island|Philippines|Hininga-an|5|-1|304 118 159 121.583333 28.75 41487|Zhejiang| |China|Shangpan|6|-1|6 86 159 121.5875 30.888611 41493|Shanghai| |China|Su-chia|6|-1|4 188 159 121.5905 24.03529 41496|Hualien| |Taiwan|Ta-shan|5|-1|174 273 159 121.592201 18.372 41497|Cagayan Valley| |Philippines|Linao|4|-1|8 329 159 121.595901 14.65503 41499|Southern Tagalog| |Philippines|Real|5|9076|56 189 159 121.5961 23.978729 41500|Hualien| |Taiwan|Hua-lien|2|-1|47 76 159 121.601898 31.54376 41507|Jiangsu|Chongming Dao|China|Nanbu|3|-1|7 98 159 121.606389 30.038611 41509|Zhejiang| |China|Hsieh-fu|6|-1|2 115 159 121.610603 28.96644 41510|Zhejiang| |China|Lipu|3|-1|21 340 159 121.612297 13.93528 41511|Southern Tagalog| |Philippines|Lucena|3|227571|2 187 159 121.633017 24.130132 41526|Hualien| |Taiwan|Hsin-ch'eng|3|-1|98 78 159 121.633333 31.416667 41528|Shanghai|Changzing Dao|China|Panshi|6|-1|11 73 159 121.633333 31.75 41529|Jiangsu| |China|T'ai-an-chen|6|-1|11 187 160 121.638603 24.15696 41535|Hualien| |Taiwan|T'ieh-chia-lung-she|3|-1|418 309 160 121.65 15.983333 41540|Aurora| |Philippines|Debutunan|6|-1|93 79 160 121.65 31.316667 41542|Shanghai| |China|Gulu|6|-1|5 73 160 121.683333 31.733333 41559|Jiangsu| |China|Nanqinghe|6|-1|7 111 160 121.695503 29.22801 41564|Zhejiang| |China|Dahu|3|-1|21 355 161 121.721703 12.92305 41579|Mindoro Oriental|Sibale Island|Philippines|Concepcion|5|-1|237 336 161 121.7295 14.1977 41582|Southern Tagalog| |Philippines|Mauban|4|32463|61 106 161 121.75 29.55 41593|Zhejiang| |China|Sizhoutou|6|-1|34 79 161 121.75 31.333333 41594|Shanghai| |China|Yuansha|6|-1|12 104 162 121.766667 29.683333 41598|Zhejiang| |China|Xianxiang|6|-1|10 308 162 121.770798 16.08227 41600|Southern Tagalog| |Philippines|Debutunan Pt|5|-1|155 274 162 121.7714 18.300739 41601|Cagayan Valley| |Philippines|Balza|5|-1|11 86 162 121.783333 30.866667 41605|Shanghai| |China|Wusi|6|-1|7 337 162 121.786697 14.10375 41606|Southern Tagalog| |Philippines|San Jose|5|-1|101 182 162 121.794701 24.47237 41607|Ilan| |Taiwan|Nan-ao|3|-1|157 456 162 121.804398 6.166945 41614| |Bucutua Island|Philippines|Bucutua|5|-1|13 176 162 121.810501 24.862869 41615|Ilan| |Taiwan|Tou-cheng|3|-1|12 325 162 121.813904 14.93622 41616|Southern Tagalog|Polillo Island|Philippines|Panukulan|5|2818|42 334 162 121.816667 14.3 41617| |Mauban Island|Philippines|Calamias|6|-1|15 86 162 121.833333 30.883333 41626|Shanghai| |China|Guoyuan|6|-1|7 237 163 121.835197 20.78545 41633|Cagayan Valley|Itbayat Island|Philippines|Itbayat|5|-1|185 244 163 121.842102 20.323879 41641|Cagayan Valley|Sabtang Island|Philippines|Nakanmuan|5|-1|90 180 163 121.844398 24.594971 41643|Ilan| |Taiwan|Su-ao|3|-1|72 238 163 121.850403 20.74192 41650|Cagayan Valley|Itbayat Island|Philippines|Santa Lucia|5|-1|95 244 163 121.868301 20.328409 41662|Cagayan Valley|Sabtang Island|Philippines|Sabtang|5|-1|90 266 163 121.878899 18.884291 41667|Cagayan Valley|Camiguin Island|Philippines|Cadagatan|5|-1|246 244 163 121.879303 20.3088 41668|Cagayan Valley|Sabtang Island|Philippines|Chavayan|5|-1|90 99 163 121.883333 29.983333 41672|Zhejiang|Jintang Shan|China|Daniwan|6|-1|51 459 164 121.9 6.033333 41680|Sulu| |Philippines|Tabialan|6|2272|3771 172 164 121.9 25.116667 41681|Taipei| |Taiwan|Lao-tung|6|-1|90 109 164 121.9 29.35 41682|Zhejiang| |China|Danmen|6|-1|2 99 164 121.9 30.033333 41683|Zhejiang|Jintang Shan|China|Xiaoli'ao|6|-1|98 98 164 121.933333 30.083333 41701|Zhejiang| |China|Nan'ao|6|-1|37 307 164 121.936302 16.136471 41704|Southern Tagalog| |Philippines|Casiguran|5|-1|82 368 164 121.944603 12.04375 41711| |Carabao Island|Philippines|Boayahan|5|-1|149 329 164 121.9459 14.63625 41713|Southern Tagalog|Polillo Island|Philippines|Bisliang|5|-1|4 257 164 121.946899 19.494881 41714|Cagayan Valley|Babuyan Island|Philippines|San Dionisio|5|-1|431 445 164 121.957603 6.954427 41722|Western Mindanao|Mindanao|Philippines|Recodo|5|42521|57 368 164 121.958504 12.06451 41724| |Carabao Island|Philippines|Acogon|5|-1|149 174 165 121.966667 25.016667 41730|Taipei| |Taiwan|Fu-lien|6|-1|142 453 165 121.9711 6.417323 41734|Western Mindanao|Basilan Island|Philippines|Mangal|5|-1|14 242 165 121.971703 20.45174 41736|Cagayan Valley|Batan Island|Philippines|Basco|5|7271|251 455 165 121.972504 6.297095 41737| |Sumisip Island|Philippines|Taongomos|5|-1|1032 393 165 121.978401 10.43186 41741|Western Visayas|Panay Island|Philippines|Magdalena|5|2396|900 325 165 121.983333 14.95 41743|Southern Tagalog|Polillo Island|Philippines|Cabungalunan|6|-1|39 323 165 121.993202 15.04163 41753|Southern Tagalog|Polillo Island|Philippines|Magdalo|5|-1|252 339 165 122.0 13.966667 41757|Quezon| |Philippines|Concepcion|6|-1|65 367 165 122.0037 12.15662 41758|Southern Tagalog|Tablas Island|Philippines|Santa Fe|5|2345|43 367 165 122.015503 12.1281 41766|Southern Tagalog|Tablas Island|Philippines|Tabugon|5|-1|43 333 165 122.033333 14.416667 41772| |Balesin Island|Philippines|Caluekan|6|-1|51 326 165 122.033333 14.85 41773| |Palasan Island|Philippines|Abucay|6|-1|25 101 166 122.0354 29.843731 41775|Zhejiang| |China|Guoju|5|-1|12 365 166 122.055496 12.25914 41784|Southern Tagalog|Tablas Island|Philippines|Alcantara|5|2216|277 453 166 122.078697 6.433133 41798|Western Mindanao|Basilan Island|Philippines|Kobingbing|5|-1|398 364 166 122.082802 12.32067 41800|Southern Tagalog|Tablas Island|Philippines|Nipa|5|-1|91 355 166 122.091202 12.95488 41804|Romblon|Banton Island|Philippines|Lagang|5|-1|295 364 166 122.0914 12.35311 41805|Southern Tagalog|Tablas Island|Philippines|Calagonsao|5|-1|91 101 166 122.1 29.883333 41813|Zhejiang| |China|Chung-tse|6|-1|12 347 167 122.1008 13.47307 41815|Southern Tagalog|Marinduque|Philippines|Payte|5|-1|108 445 167 122.115601 6.950227 41821|Western Mindanao|Mindanao|Philippines|Boalan|5|-1|14 348 167 122.115601 13.37806 41822|Southern Tagalog|Marinduque|Philippines|Bonliw|5|-1|147 360 167 122.120499 12.61804 41825|Southern Tagalog|Tablas Island|Philippines|Carman|5|-1|271 306 167 122.135696 16.227831 41832|Southern Tagalog| |Philippines|Pasaruboy|5|-1|301 390 167 122.142303 10.59432 41835|Iloilo|Panay Island|Philippines|San Joaquin|5|4862|343 348 167 122.142998 13.37399 41836|Southern Tagalog|Marinduque|Philippines|Balo|5|-1|147 445 167 122.146797 6.917993 41839|Western Mindanao|Mindanao|Philippines|Masinloc|5|-1|14 446 167 122.158798 6.893908 41842|Zamboanga City|Tictauan Island|Philippines|Tabtabon|5|-1|48 95 168 122.166667 30.3 41846|Zhejiang|Dai Shan|China|Dongsha|6|-1|29 452 168 122.174698 6.460236 41851| |Basilan Island|Philippines|Visaya|5|-1|287 303 168 122.184502 16.415899 41857|Southern Tagalog| |Philippines|Tarigtig Pt|5|-1|24 451 168 122.188004 6.527283 41858|Western Mindanao|Basilan Island|Philippines|Bojelebung|5|-1|137 95 168 122.192398 30.245001 41860|Zhejiang|Dai Shan|China|Gaoting|4|-1|29 108 168 122.2 29.433333 41867|Zhejiang| |China|Litang|6|-1|9 95 168 122.2 30.283333 41868|Zhejiang|Dai Shan|China|Nanfeng|6|-1|29 303 168 122.210297 16.39044 41871|Southern Tagalog| |Philippines|Diniyog|5|-1|24 359 168 122.233333 12.666667 41879| |Cobrador Island|Philippines|Cabugaan|6|-1|48 441 169 122.234398 7.202661 41883|Western Mindanao|Mindanao|Philippines|Curuan|5|6757|34 389 169 122.237198 10.6467 41885|Western Visayas|Panay Island|Philippines|Miagao|4|8775|132 372 169 122.25 11.783333 41890|Western Visayas|Panay Island|Philippines|Afga|6|-1|122 450 169 122.268097 6.599087 41898| |Basilan Island|Philippines|Kandiis|5|-1|542 439 169 122.269402 7.341858 41899|Western Mindanao|Mindanao|Philippines|Tagpangi|5|-1|4 440 169 122.280502 7.28407 41901|Western Mindanao|Mindanao|Philippines|Palupalo|5|-1|25 446 169 122.283333 6.883333 41903| |Malanipa Island|Philippines|Cocob|6|-1|70 362 170 122.304398 12.48615 41916|Southern Tagalog|Romblon Island|Philippines|Sablayan|5|-1|697 389 170 122.324898 10.66697 41921|Western Visayas|Panay Island|Philippines|Guimbal|5|7171|238 437 170 122.327797 7.465483 41922|Western Mindanao|Mindanao|Philippines|Licumu|5|-1|11 439 170 122.333397 7.321527 41930|Western Mindanao|Mindanao|Philippines|Tunglugun|5|-1|37 299 170 122.35 16.666667 41934|Cagayan Valley| |Philippines|Dinapigui|6|-1|78 439 170 122.3638 7.360285 41938|Western Mindanao|Mindanao|Philippines|Limaong|5|3288|37 373 171 122.367203 11.71187 41939|Western Visayas|Panay Island|Philippines|Kalibo|3|56161|346 389 171 122.379402 10.68316 41944|Western Visayas|Panay Island|Philippines|Tigbauan|4|12529|13 437 171 122.3843 7.496104 41946|Western Mindanao|Mindanao|Philippines|Bangaan|5|-1|31 93 171 122.4 30.433333 41952| |Dachu Shan|China|Tiantu|6|-1|14 363 172 122.439301 12.41466 41969|Southern Tagalog|Sibuyan Island|Philippines|Parao|5|-1|25 343 172 122.468697 13.73884 41979|Southern Tagalog| |Philippines|Buenavista|5|-1|10 434 172 122.473099 7.671018 41980|Western Mindanao|Mindanao|Philippines|Surabay|5|-1|9 389 172 122.474197 10.6994 41981|Western Visayas|Panay Island|Philippines|Oton|4|14156|14 436 172 122.4776 7.56413 41985| |Mindanao|Philippines|Buhangin Mahaha|5|-1|39 342 173 122.516667 13.816667 42002|Quezon| |Philippines|Hiwasayan|6|-1|46 88 173 122.516667 30.708889 42003| |Gouqi Shan|China|Bianjiao'ao|6|-1|14 393 173 122.544197 10.42116 42014|Western Visayas| |Philippines|Panobolon|5|-1|10 407 173 122.549797 9.493185 42016|Western Visayas|Leyte Island|Philippines|Da-og|5|-1|112 433 173 122.550201 7.750741 42017|Western Mindanao|Mindanao|Philippines|Caparan|5|-1|17 346 174 122.567001 13.53914 42022|Southern Tagalog| |Philippines|Bagasacay|5|-1|17 345 174 122.567398 13.56924 42023|Quezon| |Philippines|San Narciso|5|11044|112 432 174 122.5905 7.78188 42032|Western Mindanao|Mindanao|Philippines|Ipil|5|18975|6 392 174 122.616667 10.483333 42042|Western Visayas| |Philippines|Calaya|6|2688|8 87 174 122.616667 30.816667 42043| | |China|Fangang|6|-1|33 365 174 122.629501 12.27862 42050|Southern Tagalog|Sibuyan Island|Philippines|Azagra|5|-1|22 351 175 122.634102 13.19436 42053|Southern Tagalog| |Philippines|Bondoc Pt|5|-1|105 96 175 122.641667 30.198056 42056|Zhejiang| |China|T'ien-hou-kung|6|-1|19 408 175 122.644402 9.415284 42057|Central Visayas|Leyte Island|Philippines|Basay|5|4227|18 350 175 122.6726 13.2715 42068|Southern Tagalog| |Philippines|Mangero|5|3858|44 432 175 122.673599 7.818319 42069|Western Mindanao|Mindanao|Philippines|Tambanan|5|-1|10 349 175 122.674202 13.32376 42070|Southern Tagalog| |Philippines|San Andres|5|5089|52 96 175 122.679167 30.196111 42074|Zhejiang| |China|Nan 'ao|6|-1|19 363 175 122.6838 12.36738 42076|Southern Tagalog|Sibuyan Island|Philippines|Cajidiocan|5|-1|146 432 175 122.698402 7.7941 42080|Western Mindanao|Mindanao|Philippines|Titanmanobog|5|-1|10 390 176 122.7 10.566667 42082|Western Visayas| |Philippines|Barcelona|6|-1|12 388 176 122.711197 10.71121 42087|Western Visayas| |Philippines|Avila|5|2325|11 389 176 122.712303 10.6599 42088|Western Visayas| |Philippines|Valencia|5|-1|12 385 177 122.780197 10.91176 42104|Western Visayas|Panay Island|Philippines|Talisay|5|-1|24 384 177 122.816498 11.00592 42125|Western Visayas|Panay Island|Philippines|Banate|5|-1|11 88 177 122.816667 30.716667 42127| |Sheng Shan|China|Shengshan|6|-1|27 440 177 122.818802 7.286215 42129|Western Mindanao| |Philippines|Buhangin Mahabo|5|-1|41 436 178 122.841499 7.555099 42146|Western Mindanao|Mindanao|Philippines|Batu|5|2942|21 436 178 122.8908 7.545668 42173|Western Mindanao|Mindanao|Philippines|Gapol|5|-1|21 336 179 122.909798 14.17632 42180|Bicol| |Philippines|Vinzons|5|13505|10 333 179 122.95 14.416667 42197| |Guintinua Island|Philippines|Banacboc|6|-1|26 383 180 122.9795 11.07521 42213|Western Visayas|Panay Island|Philippines|Culasi|5|4094|24 338 180 123.0308 14.07629 42237|Bicol| |Philippines|Mambongalon|5|-1|6 413 181 123.036697 9.067833 42245|Central Visayas|Leyte Island|Philippines|Siaton|4|7232|111 342 181 123.045197 13.77231 42248|Bicol| |Philippines|Barceloneta|5|-1|4 341 181 123.060997 13.87009 42252|Bicol| |Philippines|Mandao|5|-1|10 347 181 123.079903 13.49852 42261|Bicol| |Philippines|Mainit|5|-1|511 339 181 123.0812 13.97847 42262|Bicol| |Philippines|Barana|5|-1|19 380 181 123.095001 11.27197 42267|Western Visayas|Panay Island|Philippines|San Dionisio|5|3114|4 381 182 123.105797 11.21222 42271|Western Visayas|Panay Island|Philippines|Concepcion|5|6709|24 413 182 123.114799 9.064373 42274|Central Visayas|Leyte Island|Philippines|Bonbonon|5|-1|267 382 182 123.116667 11.116667 42275|Iloilo| |Philippines|Punta Buri|6|-1|26 405 182 123.122299 9.595244 42278|Central Visayas|Leyte Island|Philippines|Bais|4|64538|94 375 182 123.138199 11.57475 42287|Western Visayas|Panay Island|Philippines|Carles|5|2668|4 378 182 123.140602 11.3962 42289|Western Visayas|Panay Island|Philippines|Binon-an|5|3423|18 401 182 123.144897 9.85668 42291|Negros Oriental|Leyte Island|Philippines|Ayungon|5|-1|281 404 182 123.148003 9.677432 42294|Central Visayas|Leyte Island|Philippines|Manjuyod|5|-1|27 434 182 123.156303 7.646125 42299| |Mindanao|Philippines|Dumanquilas B|5|-1|2 436 183 123.168404 7.566452 42303|Western Mindanao|Mindanao|Philippines|Margosatubig|4|14362|31 370 183 123.169701 11.91648 42304|Bicol|Masbate Island|Philippines|Pulanduta|5|-1|50 400 183 123.172501 9.92718 42306|Negros Oriental|Leyte Island|Philippines|Tayasan|5|-1|452 437 183 123.174698 7.498118 42307|Western Mindanao|Mindanao|Philippines|Limousan|5|-1|205 436 183 123.197098 7.553915 42315|Western Mindanao|Mindanao|Philippines|Maculay|5|-1|31 399 183 123.197098 9.980289 42316|Central Visayas|Leyte Island|Philippines|Jimalalud|5|3180|437 412 183 123.202499 9.102529 42320|Negros Oriental|Leyte Island|Philippines|Zamboanguita|3|6137|176 399 184 123.234398 10.02849 42333|Central Visayas|Leyte Island|Philippines|La Libertad|5|5564|370 408 184 123.241501 9.413893 42338|Central Visayas|Leyte Island|Philippines|San Jose|5|-1|161 384 184 123.251503 10.97143 42341|Western Visayas|Leyte Island|Philippines|Catapud|5|-1|2 411 184 123.263298 9.189611 42344|Central Visayas|Leyte Island|Philippines|Dauin|4|3295|362 397 184 123.269699 10.12354 42346|Central Visayas|Leyte Island|Philippines|Guihulngan|4|22552|335 356 184 123.278099 12.85158 42349| |Burias Island|Philippines|Madanlog|5|-1|222 396 184 123.283096 10.17616 42351|Central Visayas|Leyte Island|Philippines|Calamba|3|2673|234 410 184 123.294296 9.245082 42362|Central Visayas|Leyte Island|Philippines|Bacong|5|5074|139 341 184 123.2976 13.88643 42363|Camarines Sur| |Philippines|Magtang|5|-1|2 396 185 123.303596 10.23219 42370|Central Visayas|Leyte Island|Philippines|Basak|4|3690|344 360 185 123.305397 12.57598 42371|Bicol|Masbate Island|Philippines|Loca|5|-1|194 409 185 123.310366 9.314125 42373|Central Visayas|Leyte Island|Philippines|Dumaguete|3|111631|445 368 185 123.315002 12.0688 42377|Bicol|Masbate Island|Philippines|Panguiranan|5|2717|26 357 185 123.316399 12.77775 42379|Bicol|Burias Island|Philippines|Bocaengano|5|-1|590 394 185 123.324898 10.33312 42384|Central Visayas|Leyte Island|Philippines|Tabon|4|2875|237 375 185 123.333333 11.6 42390| |South Gigante Island|Philippines|Gabi|6|2148|16 408 185 123.3349 9.420575 42392|Central Visayas|Cebu Island|Philippines|Santander|5|2514|204 435 185 123.337196 7.612406 42393|Western Mindanao|Mindanao|Philippines|Dinas|5|-1|2 436 186 123.373299 7.527239 42405|Zamboanga del Sur|Mindanao|Philippines|Dimataling|5|4258|260 392 186 123.3769 10.46174 42406|Western Visayas|Leyte Island|Philippines|Santo Nino|4|-1|28 358 186 123.380203 12.70026 42408|Bicol|Burias Island|Philippines|Tagalan Sadit|5|-1|686 436 186 123.386703 7.560411 42412|Zamboanga del Sur|Mindanao|Philippines|Pisan|5|-1|260 366 186 123.3964 12.16757 42416|Bicol|Masbate Island|Philippines|Bangad|5|3266|7 406 186 123.4 9.5 42419|Central Visayas|Cebu Island|Philippines|Alo|6|-1|172 435 186 123.414803 7.619924 42423|Western Mindanao|Mindanao|Philippines|Taraka|5|-1|13 392 186 123.423103 10.48873 42428|Western Visayas|Leyte Island|Philippines|San Carlos|4|60195|28 432 187 123.437103 7.829801 42433|Western Mindanao|Mindanao|Philippines|Pagadian|3|131464|11 437 187 123.439102 7.440041 42435|Western Mindanao|Mindanao|Philippines|Salip|5|-1|562 361 187 123.456596 12.50067 42441|Bicol|Masbate Island|Philippines|Lahong Interior|4|-1|330 434 187 123.457001 7.638525 42442|Western Mindanao|Mindanao|Philippines|San Pablo|5|3319|84 366 187 123.461197 12.22252 42445|Bicol|Masbate Island|Philippines|Manolib|5|-1|8 390 187 123.462097 10.61192 42446|Western Visayas|Leyte Island|Philippines|Tigbon|4|-1|216 433 187 123.462997 7.738866 42447|Western Mindanao|Mindanao|Philippines|Napulan|5|-1|50 389 187 123.464302 10.66438 42448|Western Visayas|Leyte Island|Philippines|Cankamalig|5|-1|59 434 187 123.470299 7.687646 42449|Western Mindanao|Mindanao|Philippines|Culacion|5|-1|84 405 187 123.473999 9.631752 42451|Central Visayas|Cebu Island|Philippines|Boljoon|5|3275|405 390 187 123.480301 10.60256 42453|Western Visayas|Leyte Island|Philippines|Calatrava|5|9398|216 388 188 123.509804 10.72033 42464|Western Visayas|Leyte Island|Philippines|Toboso|4|12944|308 386 188 123.510498 10.89954 42466|Western Visayas|Leyte Island|Philippines|Vito|4|6023|13 388 188 123.525002 10.75205 42475|Western Visayas|Leyte Island|Philippines|Salamanca|4|4928|308 403 188 123.528999 9.763712 42478|Cebu|Cebu Island|Philippines|Dalaguete|5|7991|291 345 188 123.533203 13.62394 42479|Bicol| |Philippines|Sagnay|5|-1|59 431 188 123.534897 7.89445 42480|Western Mindanao|Mindanao|Philippines|Bukon|5|-1|135 386 188 123.557701 10.83717 42489|Western Visayas|Leyte Island|Philippines|Escalante|4|38460|13 412 189 123.579498 9.122546 42496|Central Visayas|Siquijor Island|Philippines|Campalanas|5|-1|91 401 189 123.607803 9.882679 42505|Central Visayas|Cebu Island|Philippines|Argao|3|6058|237 398 189 123.614601 10.06839 42509|Central Visayas|Cebu Island|Philippines|Napo|5|-1|125 368 189 123.620598 12.0883 42512|Bicol|Masbate Island|Philippines|Borongan|5|-1|2 412 190 123.635696 9.129785 42519|Central Visayas|Siquijor Island|Philippines|Lazi|5|3415|472 397 190 123.642899 10.10929 42523|Central Visayas|Cebu Island|Philippines|Carcar|4|40643|175 410 190 123.644798 9.278415 42524|Central Visayas|Siquijor Island|Philippines|Enrique Villanueva|5|-1|317 356 190 123.6483 12.88804 42526|Bicol| |Philippines|San Antonio|5|-1|18 411 190 123.651497 9.208012 42527|Central Visayas|Siquijor Island|Philippines|Maria|5|-1|134 371 190 123.666667 11.883333 42533| |Tagauayan Island|Philippines|Lo-oc|6|-1|9 347 190 123.683296 13.45923 42538|Bicol| |Philippines|Tiwi|5|16714|21 432 190 123.685303 7.820522 42542|Central Mindanao|Mindanao|Philippines|Pikani|5|-1|46 428 190 123.696701 8.05246 42545|Northern Mindanao|Mindanao|Philippines|Pangabuan|5|2069|3 364 191 123.701103 12.31962 42547|Bicol|Masbate Island|Philippines|Salvacion|5|-1|227 420 191 123.722 8.60532 42553|Northern Mindanao|Mindanao|Philippines|Plaridel|5|2949|59 428 191 123.723099 8.065029 42555|Northern Mindanao|Mindanao|Philippines|Villaba|5|-1|3 382 191 123.725899 11.14325 42557|Central Visayas|Bantayan Island|Philippines|Bantayan|5|18624|74 356 191 123.7285 12.88088 42559|Bicol| |Philippines|Tenagbac|5|-1|15 360 191 123.731796 12.56803 42561|Bicol|Ticao Island|Philippines|San Jacinto|4|7589|161 380 191 123.732498 11.29672 42562|Central Visayas|Bantayan Island|Philippines|Madridejos|5|3980|2 396 191 123.75 10.216667 42568|Central Visayas|Cebu Island|Philippines|Abaca|6|-1|186 428 191 123.750198 8.064722 42569|Northern Mindanao|Mindanao|Philippines|Tangub|4|29508|3 428 191 123.757103 8.09775 42574|Northern Mindanao|Mindanao|Philippines|Labinay|5|-1|3 188 192 123.768303 24.05319 42581|Okinawa|Hateruma Shima|Japan|Shirabaramitake|5|-1|339 363 192 123.771202 12.37385 42584|Bicol|Ticao Island|Philippines|Sauang|5|-1|92 381 192 123.771896 11.19513 42586|Central Visayas|Bantayan Island|Philippines|Sillon|5|4037|47 370 192 123.772202 11.93555 42587| |Masbate Island|Philippines|Cavayan|5|-1|3 363 192 123.777199 12.42783 42590|Bicol|Ticao Island|Philippines|Batuan|4|2471|92 403 192 123.795403 9.750936 42600|Central Visayas|Bohol Island|Philippines|Song-on|5|-1|62 422 192 123.808998 8.460681 42603|Northern Mindanao|Mindanao|Philippines|San Vicente|5|-1|69 422 192 123.808998 8.485413 42604|Northern Mindanao|Mindanao|Philippines|Oroquieta|3|38979|69 427 192 123.810402 8.143913 42605|Northern Mindanao|Mindanao|Philippines|Bongbong|5|-1|3 341 192 123.833333 13.9 42615| |Masbate Island|Philippines|Bagas|6|-1|2 424 193 123.8405 8.354259 42617|Northern Mindanao|Mindanao|Philippines|Mohon|5|-1|283 343 193 123.841202 13.71626 42618|Bicol| |Philippines|Bitaogan|5|-1|311 424 193 123.843903 8.337524 42620|Northern Mindanao|Mindanao|Philippines|Jimenez|5|6548|283 355 193 123.853798 12.90982 42624|Bicol| |Philippines|Cagotaw|5|-1|9 395 193 123.859596 10.28241 42627|Central Visayas|Cebu Island|Philippines|Mambaling|5|-1|2 426 193 123.860901 8.200936 42629|Northern Mindanao|Mindanao|Philippines|Clarin|5|7025|22 185 193 123.862602 24.26346 42631|Okinawa|Iriomote-jima|Japan|Toyohara|5|-1|25 405 193 123.864502 9.624459 42632| |Panglao Island|Philippines|Dauis|5|2503|120 343 193 123.871803 13.74304 42637|Bicol| |Philippines|Guijalo|5|2553|311 359 193 123.875 12.67223 42640|Bicol| |Philippines|Bulan|3|28439|2 379 193 123.883333 11.316667 42645| |Batbatan Island|Philippines|Bitoon|6|4194|45 405 194 123.9133 9.627626 42652|Central Visayas|Bohol Island|Philippines|Baclayon|5|-1|141 367 194 123.922997 12.14638 42654|Bicol|Masbate Island|Philippines|Palanas|5|2656|26 395 194 123.950699 10.25253 42662|Cebu|Mactan Island|Philippines|Cordova|5|-1|296 342 194 123.951897 13.76675 42663|Bicol| |Philippines|Pandanan|5|-1|56 434 194 123.958702 7.676651 42665|Central Mindanao|Mindanao|Philippines|Sultan Gumander|5|-1|212 405 194 123.961601 9.61431 42667|Central Visayas|Bohol Island|Philippines|Tagbuane|5|-1|141 352 195 123.966667 13.1 42674|Bicol| |Philippines|Osiao|6|2722|297 343 195 123.968399 13.73071 42676|Bicol| |Philippines|Colongcogong|5|-1|94 184 195 123.983333 24.333333 42682|Okinawa| |Japan|Kobama|6|-1|2 394 195 123.986504 10.36336 42683|Central Visayas|Cebu Island|Philippines|Tilhaong|5|-1|307 368 195 123.988701 12.05294 42685|Bicol|Masbate Island|Philippines|Malobago|4|-1|154 387 195 123.999496 10.80191 42688|Central Visayas|Cebu Island|Philippines|Tagaytay|5|-1|156 388 195 124.010498 10.72699 42693|Central Visayas|Cebu Island|Philippines|Catmon|5|7711|284 382 195 124.012901 11.12674 42694|Central Visayas|Cebu Island|Philippines|Tindog|5|3268|72 394 195 124.0131 10.30596 42695|Lapu-Lapu City|Mactan Island|Philippines|Punta Engana|5|-1|307 392 195 124.013397 10.46018 42696|Central Visayas|Cebu Island|Philippines|Compostela|5|18499|281 405 195 124.014999 9.606165 42698|Central Visayas|Bohol Island|Philippines|Loay|5|-1|267 363 195 124.016667 12.4 42700|Northern Samar| |Philippines|Maragat|6|-1|28 390 195 124.0186 10.59777 42703|Central Visayas|Cebu Island|Philippines|Carmen|5|21507|29 186 195 124.021004 24.233271 42704|Okinawa| |Japan|Agarisuji|5|-1|816 386 195 124.028999 10.84064 42708|Central Visayas|Cebu Island|Philippines|Borbon|4|4662|20 391 195 124.030296 10.52716 42709|Danao City|Cebu Island|Philippines|Danao|3|69144|94 381 196 124.0345 11.17663 42713|Central Visayas|Cebu Island|Philippines|Calape|5|2790|276 384 196 124.039001 10.9667 42715|Central Visayas|Cebu Island|Philippines|Salag|5|-1|66 384 196 124.039101 11.00555 42716|Central Visayas|Cebu Island|Philippines|Odlot|5|-1|66 386 196 124.044701 10.87172 42720|Central Visayas|Cebu Island|Philippines|Tagnucan|5|-1|489 372 196 124.05 11.783333 42725|Bicol|Masbate Island|Philippines|Alegria|6|-1|142 380 196 124.0597 11.27409 42731|Cebu|Cebu Island|Philippines|Maya|5|7566|116 380 196 124.062401 11.24407 42732|Central Visayas|Cebu Island|Philippines|Talisay|5|4035|116 438 196 124.066803 7.371032 42737|Maguindanao| |Philippines|Manguldan|5|-1|199 361 196 124.081398 12.55188 42741|Bicol| |Philippines|Lamaoan|5|-1|68 356 197 124.115799 12.86964 42751|Bicol| |Philippines|Bogtong|5|-1|24 355 197 124.125397 12.92457 42755|Bicol| |Philippines|Gubat|4|13915|58 351 197 124.126503 13.19443 42756|Bicol|Leyte Island|Philippines|Rapu Rapu|5|-1|19 357 197 124.128899 12.81439 42757|Bicol| |Philippines|San Isidro|5|3013|37 359 197 124.133333 12.666667 42759|Bicol| |Philippines|San Rafael|6|-1|71 358 197 124.135902 12.75749 42761|Bicol| |Philippines|Bulusan|4|6642|71 184 197 124.156201 24.340565 42765|Okinawa|Ishigaki-shima|Japan|Ishigaki|3|44589|22 405 197 124.162201 9.614113 42768|Central Visayas|Bohol Island|Philippines|Dimiao|5|-1|177 346 197 124.164497 13.54003 42769|Catanduanes| |Philippines|Magnesia|5|-1|38 438 198 124.170601 7.431394 42772|Central Mindanao|Mindanao|Philippines|Matimus|5|-1|32 368 198 124.175797 12.07017 42775| |Tagapul-an Island|Philippines|Sogud|5|-1|187 363 198 124.178497 12.42097 42776| |Capul Island|Philippines|Capul|5|4742|80 353 198 124.193001 13.04298 42778|Bicol| |Philippines|Prieto Diaz|5|-1|266 351 198 124.206802 13.19957 42781|Bicol|Leyte Island|Philippines|Linao|5|-1|459 405 198 124.207397 9.614362 42782|Central Visayas|Bohol Island|Philippines|Simang|5|-1|323 345 199 124.2342 13.59073 42787|Bicol| |Philippines|Virac|4|14943|15 184 199 124.239601 24.34226 42788|Okinawa|Ishigaki-shima|Japan|Shirafu|5|-1|240 375 199 124.271202 11.56842 42800| |Higatangan Island|Philippines|Gigantangan|5|-1|28 363 199 124.2714 12.37258 42801| |San Antonio|Philippines|Pilar|5|-1|40 182 199 124.283333 24.5 42803|Okinawa|Ishigaki-shima|Japan|Ibarama|6|-1|68 405 199 124.294502 9.621145 42807|Central Visayas|Bohol Island|Philippines|Garcia Hernandez|5|2640|770 457 199 124.295097 6.154243 42808|Central Mindanao|Mindanao|Philippines|Tibulos|5|-1|331 340 200 124.302101 13.91465 42813|Bicol| |Philippines|Panganiban|4|-1|3 390 200 124.309502 10.59643 42817|Central Visayas|San Francisco Island|Philippines|Unidos|5|-1|332 370 200 124.312798 11.94542 42818| |Almagro Island|Philippines|Bacjao|5|-1|96 180 200 124.328697 24.58786 42823|Okinawa|Ishigaki-shima|Japan|Hirano|5|-1|83 372 200 124.333333 11.816667 42825| | |Philippines|Agutay|6|-1|102 457 200 124.336899 6.126245 42828|Central Mindanao|Mindanao|Philippines|Kraan|5|-1|33 344 200 124.35 13.666667 42831|Bicol| |Philippines|Abihao|6|-1|27 390 200 124.360454 10.617374 42834|Central Visayas|San Francisco Island|Philippines|San Francisco|5|8868|332 359 201 124.366667 12.683333 42841| | |Philippines|Beri|6|-1|5 404 201 124.367302 9.65827 42842|Central Visayas|Bohol Island|Philippines|Jagna|5|-1|634 397 201 124.380885 10.142033 42847|Central Visayas|Bohol Island|Philippines|Bien Unido|4|5286|3 403 201 124.401703 9.714891 42855|Central Visayas|Bohol Island|Philippines|Duero|5|-1|201 342 201 124.416667 13.8 42862|Bicol| |Philippines|Bagalay|6|-1|73 360 201 124.433333 12.616667 42868|Northern Samar| |Philippines|Apis|6|-1|15 389 202 124.439903 10.67839 42873|Central Visayas|Poro Island|Philippines|San Jose|5|-1|61 395 202 124.45 10.25 42878|Bohol| |Philippines|Bilangbilangan Island|6|-1|16 370 202 124.4533 11.92248 42880| |Santo Nino|Philippines|Santo Nino|5|-1|92 403 202 124.461899 9.748279 42883|Central Visayas|Bohol Island|Philippines|Guindulman|5|4610|268 386 202 124.464104 10.8933 42884|Eastern Visayas| |Philippines|Tubud|5|-1|206 373 202 124.470299 11.70197 42886|Eastern Visayas|Biliran Island|Philippines|Tucdao|5|2396|47 386 202 124.482803 10.87143 42890|Eastern Visayas| |Philippines|Tolingon|5|-1|206 403 202 124.487999 9.764198 42893|Central Visayas|Bohol Island|Philippines|Tangohay|5|-1|268 389 202 124.492897 10.67976 42897|Central Visayas|Poro Island|Philippines|Puertobello|5|-1|61 386 203 124.513 10.87403 42902|Eastern Visayas| |Philippines|Calunangan|5|-1|147 459 203 124.524101 6.032075 42908|Southern Mindanao|Mindanao|Philippines|Linao|5|-1|312 401 203 124.524498 9.863337 42909|Central Visayas|Bohol Island|Philippines|Mabini|5|5992|24 399 203 124.530296 9.97966 42910|Central Visayas|Bohol Island|Philippines|Biabas|5|2354|7 384 203 124.538101 10.97007 42913|Eastern Visayas| |Philippines|Puertobello|5|-1|36 374 203 124.5383 11.65844 42914|Eastern Visayas|Biliran Island|Philippines|Culaba|5|6121|67 385 203 124.539902 10.90645 42916|Eastern Visayas| |Philippines|Merida|4|3532|87 398 203 124.5495 10.06166 42919| |Lapinin Island|Philippines|Basiao|5|-1|10 387 203 124.561501 10.80551 42925| |Ponson Island|Philippines|Pilar|5|-1|126 403 204 124.568199 9.739258 42928|Central Visayas|Bohol Island|Philippines|Bacong|5|2246|1021 402 204 124.569099 9.80905 42929|Central Visayas|Bohol Island|Philippines|Cambuyao|5|-1|374 377 204 124.569397 11.48154 42930|Eastern Visayas|Biliran Island|Philippines|Cabucgayan|5|2655|57 375 204 124.574799 11.57256 42932|Eastern Visayas|Biliran Island|Philippines|Caibiran|4|6357|70 397 204 124.579399 10.1246 42934| |Lapinin Island|Philippines|Bonbonon|5|-1|31 379 204 124.588997 11.30145 42935|Eastern Visayas| |Philippines|Managasnas|5|-1|8 377 204 124.5896 11.48714 42936|Eastern Visayas|Biliran Island|Philippines|Bonga|5|-1|57 398 204 124.594398 10.08505 42938| |Lapinin Island|Philippines|Aguining|5|2463|41 368 204 124.600304 12.06994 42939|Eastern Visayas| |Philippines|Calbayog|3|67560|5 459 204 124.611801 6.011478 42942|Southern Mindanao|Mindanao|Philippines|Buadtasan|5|-1|57 397 204 124.612396 10.14745 42943| |Lapinin Island|Philippines|Tugas|5|-1|31 459 204 124.621696 5.997389 42947|Southern Mindanao|Mindanao|Philippines|Kiamba|5|10882|57 370 205 124.658798 11.90838 42958| |Bulalacao Island|Philippines|San Vicente|5|-1|14 412 205 124.679802 9.124853 42962|Northern Mindanao|Camiguin Island|Philippines|Bacnit|5|-1|112 460 206 124.7033 5.950189 42970|Southern Mindanao|Mindanao|Philippines|Kling|5|-1|81 372 206 124.703499 11.82918 42971|Samar| |Philippines|Silanga|5|2336|40 179 206 124.707001 24.66324 42972|Okinawa|Tarama Jima|Japan|Shiokawa|4|-1|84 410 206 124.716797 9.256152 42977|Northern Mindanao|Camiguin Island|Philippines|Mambajao|3|9985|216 373 207 124.7686 11.72521 42996|Samar| |Philippines|Rizal|5|-1|24 413 207 124.785599 9.096976 43007|Northern Mindanao|Camiguin Island|Philippines|Guinsiliban|5|2056|156 412 207 124.786797 9.154737 43009|Northern Mindanao|Camiguin Island|Philippines|Mahinog|5|2748|388 461 207 124.832802 5.892694 43027|Southern Mindanao|Mindanao|Philippines|Katabau|5|-1|489 374 208 124.850098 11.64125 43035| |Bagatao Island|Philippines|Macalonud|5|-1|7 374 208 124.870102 11.65128 43039| |Bagatao Island|Philippines|Mualbual|5|-1|7 373 208 124.889702 11.75961 43043|Samar| |Philippines|Catbalogan|4|67917|12 461 209 124.903702 5.877256 43046|Southern Mindanao|Mindanao|Philippines|Oalao|5|-1|68 398 209 124.949997 10.08047 43054|Eastern Visayas| |Philippines|Macrohon|5|2808|28 380 210 124.9673 11.26661 43062|Eastern Visayas| |Philippines|Bagacay|5|-1|5 394 210 124.972801 10.31307 43063|Eastern Visayas| |Philippines|Banday|5|-1|77 396 210 124.977699 10.21563 43064|Eastern Visayas| |Philippines|Juangon|5|-1|236 395 210 124.982597 10.25555 43065|Eastern Visayas| |Philippines|San Isidro|5|-1|258 415 210 124.984497 8.929949 43066|Northern Mindanao|Mindanao|Philippines|Portulin|5|-1|39 461 210 124.992996 5.869019 43070|Southern Mindanao|Mindanao|Philippines|Solome|5|-1|21 387 210 124.995102 10.83223 43072|Eastern Visayas| |Philippines|MacArthur|5|2644|28 382 210 124.9953 11.15766 43073|Eastern Visayas| |Philippines|Palo|3|17528|15 380 210 125.003502 11.24775 43077|Tacloban City| |Philippines|Tacloban|3|186740|5 397 210 125.011002 10.11285 43078|Eastern Visayas| |Philippines|Candatag|5|-1|236 380 210 125.014702 11.28275 43083|Samar| |Philippines|San Antonio|5|2305|5 399 210 125.016296 10.03268 43085|Eastern Visayas| |Philippines|Padre Burgos|5|-1|117 382 210 125.019402 11.10983 43087|Eastern Visayas| |Philippines|Tanauan|3|16408|15 385 210 125.0242 10.92107 43089|Eastern Visayas| |Philippines|Rizal|5|-1|18 415 210 125.028 8.909155 43090|Misamis Oriental|Mindanao|Philippines|Medina|5|9100|39 385 211 125.033699 10.95462 43093|Eastern Visayas| |Philippines|Dulag|3|9985|50 461 211 125.048103 5.861897 43096|Southern Mindanao|Mindanao|Philippines|Tinto|5|-1|426 359 211 125.05 12.666667 43097| |Marubay Island|Philippines|Cabadiangan|6|2996|36 416 211 125.063904 8.845609 43101|Misamis Oriental|Mindanao|Philippines|San Jose|5|2735|45 380 211 125.064499 11.28592 43102|Samar| |Philippines|Basey|5|7695|4 400 211 125.080299 9.926066 43106| |Sarangani Island|Philippines|Triana|5|-1|184 460 211 125.098396 5.958007 43109|Southern Mindanao|Mindanao|Philippines|Bailat|5|-1|233 38 211 125.1 34.066667 43110|Jeollanam-do|Soheugsan-do|Republic of Korea|Hang-ni|6|-1|81 459 212 125.110298 5.982245 43114|Southern Mindanao|Mindanao|Philippines|Seguil|5|-1|243 396 212 125.116096 10.20229 43115|Eastern Visayas| |Philippines|Himayangan|5|-1|152 395 212 125.122902 10.28926 43120|Eastern Visayas| |Philippines|Saint Bernard|5|-1|178 458 212 125.145302 6.055812 43126|South Cotabato|Mindanao|Philippines|Tamblel|5|-1|226 398 212 125.164299 10.06148 43131|Eastern Visayas|Panaon Island|Philippines|San Francisco|5|2629|50 508 213 125.166667 2.733333 43132|Sulawesi Utara| |Indonesia|Makalehi|6|-1|1051 177 213 125.174698 24.82386 43135|Okinawa|Irabu-jima|Japan|Kuninaka|5|-1|4 397 213 125.185799 10.13005 43139|Eastern Visayas|Panaon Island|Philippines|Estela|5|-1|307 29 213 125.2 34.683333 43145|Jeollanam-do|Hong-do|Republic of Korea|Chukhang|6|-1|65 177 213 125.209801 24.82552 43153|Okinawa|Irabu-jima|Japan|Ichimasui|5|-1|4 395 213 125.216667 10.25 43155|Eastern Visayas| |Philippines|Agay-ay|6|-1|233 394 214 125.250603 10.3538 43162|Eastern Visayas| |Philippines|Hinudayan|5|-1|102 362 214 125.257004 12.47754 43163|Eastern Visayas| |Philippines|Mapanas|5|3522|21 400 214 125.259003 9.948615 43164|Eastern Visayas|Panaon Island|Philippines|Pintuyan|5|-1|592 399 214 125.272499 9.98126 43166|Eastern Visayas|Panaon Island|Philippines|Esperanza|5|-1|476 178 214 125.279297 24.73258 43169|Okinawa|Miyako-jima|Japan|Sugama|5|-1|9 400 214 125.283699 9.921352 43170|Eastern Visayas|Panaon Island|Philippines|San Ricardo|5|-1|592 364 214 125.284897 12.36366 43171|Eastern Visayas| |Philippines|Cagamotan|5|-1|2 363 214 125.2976 12.39188 43176|Eastern Visayas| |Philippines|Gamay|5|9119|9 364 215 125.303497 12.32128 43179|Northern Samar| |Philippines|Lapinig|5|3630|11 363 215 125.306396 12.40509 43181|Eastern Visayas| |Philippines|Sila Pt|5|-1|32 178 215 125.338303 24.719681 43189|Okinawa|Miyako-jima|Japan|Arasato|5|-1|189 468 216 125.373901 5.42738 43200|Davao del Sur| |Philippines|Sabang|5|-1|68 468 216 125.383598 5.379111 43203|Southern Mindanao| |Philippines|Tubay|5|-1|68 447 216 125.385597 6.821951 43205|Southern Mindanao|Mindanao|Philippines|Tuban|5|5151|356 29 216 125.396389 34.643611 43207|Jeollanam-do|Daeheugsan-do|Republic of Korea|Amch'on|6|-1|44 508 216 125.4021 2.742581 43208|Sulawesi Utara|Pulau Siau|Indonesia|Ulu|5|-1|126 465 216 125.410896 5.585545 43213|Southern Mindanao|Mindanao|Philippines|Kamalian|5|-1|769 446 216 125.416 6.837358 43217|Southern Mindanao|Mindanao|Philippines|Central|5|-1|195 370 216 125.421997 11.90106 43221|Eastern Visayas| |Philippines|Taft|5|4352|13 468 216 125.422302 5.396616 43222|Southern Mindanao| |Philippines|Katingan|5|-1|68 178 216 125.425301 24.727579 43223|Okinawa|Miyako-jima|Japan|Bora|5|-1|102 370 216 125.4254 11.94412 43224|Eastern Visayas| |Philippines|San Luis|5|-1|13 465 216 125.431396 5.618467 43227|Southern Mindanao|Mindanao|Philippines|Fort Holland|5|-1|769 507 217 125.443497 2.776036 43233|Sulawesi Utara|Pulau Siau|Indonesia|Kanang|5|-1|208 367 217 125.446899 12.15096 43234|Eastern Visayas| |Philippines|Oras|4|8920|25 369 217 125.448898 11.99367 43236|Eastern Visayas| |Philippines|Pandol|5|-1|40 446 217 125.449097 6.881306 43237|Southern Mindanao|Mindanao|Philippines|Asterga|5|-1|790 372 217 125.456703 11.81393 43239|Eastern Samar| |Philippines|Sulat|5|4639|263 464 217 125.457901 5.657465 43240|Southern Mindanao|Mindanao|Philippines|Kibayo|5|-1|1043 373 217 125.460602 11.7548 43241|Eastern Samar| |Philippines|San Julian|5|3018|230 374 217 125.461899 11.6821 43242|Eastern Visayas| |Philippines|Anitaguipan Pt|5|-1|147 372 217 125.4646 11.79103 43243|Eastern Samar| |Philippines|San Francisco|5|-1|263 468 217 125.467102 5.404665 43245|Southern Mindanao|Paulau Miangas|Philippines|Ibran|5|-1|39 36 217 125.469167 34.210278 43246|Jeollanam-do|Manjae-do|Republic of Korea|Banzaito-ri|6|-1|83 371 217 125.469398 11.86132 43247|Eastern Samar|Macolayo Island|Philippines|San Vicente|5|-1|242 445 217 125.470703 6.931836 43248|Southern Mindanao|Mindanao|Philippines|Sibulan|5|8990|203 445 217 125.476303 6.958494 43251|Southern Mindanao|Mindanao|Philippines|Daliao|5|-1|203 467 217 125.477097 5.454783 43252|Southern Mindanao|Paulau Miangas|Philippines|Tumanao|5|-1|19 366 217 125.481201 12.22563 43255|Eastern Visayas| |Philippines|Alugan|5|2108|8 368 217 125.485603 12.04562 43259|Eastern Visayas| |Philippines|Dolores|4|9245|8 444 217 125.486603 6.988982 43260|Southern Mindanao|Mindanao|Philippines|Sirawan|5|-1|69 374 217 125.4879 11.67693 43261|Eastern Samar| |Philippines|Punta Maria|5|-1|147 463 217 125.4972 5.729332 43266|Southern Mindanao|Mindanao|Philippines|Kalbay|5|4286|224 444 217 125.498802 7.018532 43268|Southern Mindanao|Mindanao|Philippines|Toril|5|-1|69 377 218 125.509804 11.47959 43271|Eastern Visayas| |Philippines|San Buenaventura|5|-1|200 383 218 125.512299 11.08896 43273|Eastern Samar| |Philippines|Gigoso|5|-1|24 366 218 125.512299 12.18942 43274|Eastern Samar| |Philippines|San Policarpo|5|3577|655 451 218 125.513603 6.534364 43275|Southern Mindanao|Mindanao|Philippines|Kumasi|5|-1|2 463 218 125.519402 5.758808 43276|Southern Mindanao|Mindanao|Philippines|Malalan|5|-1|1656 398 218 125.522697 10.07023 43278|Northern Mindanao|Dinagat|Philippines|Melgar|5|-1|42 377 218 125.529602 11.44354 43280|Eastern Visayas| |Philippines|Marmag|5|-1|200 380 218 125.5401 11.25026 43284|Eastern Visayas| |Philippines|General MacArthur|5|4418|11 462 218 125.544197 5.791751 43285|Southern Mindanao|Mindanao|Philippines|Cayaponga|5|-1|473 401 218 125.55 9.866667 43287| |Limasawa|Philippines|Buenavista|6|-1|27 443 219 125.567101 7.063635 43294|Southern Mindanao|Mindanao|Philippines|Pequeno|5|-1|260 452 219 125.570503 6.494135 43295|Southern Mindanao|Mindanao|Philippines|Tubalan|5|4104|400 382 219 125.577003 11.10252 43296|Eastern Samar| |Philippines|Cagaut|5|-1|13 452 219 125.5783 6.445755 43297|Southern Mindanao|Mindanao|Philippines|Lacaron|5|2743|400 461 219 125.5905 5.847257 43304|Southern Mindanao|Mindanao|Philippines|Maybio|5|-1|628 404 219 125.6007 9.652753 43306|Northern Mindanao|Mindanao|Philippines|Placer|5|10382|24 379 219 125.602097 11.30552 43308|Eastern Visayas| |Philippines|Batong|5|-1|299 382 219 125.602997 11.12762 43309|Eastern Samar| |Philippines|Santa Margarita|5|-1|13 379 219 125.611298 11.36509 43312|Eastern Visayas| |Philippines|San Jose|5|-1|299 453 219 125.613297 6.402352 43313|Southern Mindanao|Mindanao|Philippines|Malita|5|40355|52 443 219 125.613701 7.08008 43314|Southern Mindanao|Mindanao|Philippines|Davao|2|1188769|260 379 219 125.618103 11.32935 43316|Eastern Visayas| |Philippines|Hernani|5|2158|299 455 220 125.634201 6.24736 43322|Southern Mindanao|Mindanao|Philippines|Cagamcam|5|-1|71 454 220 125.643997 6.305599 43325|Southern Mindanao|Mindanao|Philippines|Lais|4|2282|1085 381 220 125.651398 11.19076 43326|Eastern Visayas| |Philippines|Lusod|5|-1|269 397 220 125.654999 10.15414 43327|Northern Mindanao|Dinagat|Philippines|Valencia|5|-1|51 455 220 125.663696 6.26417 43329|Southern Mindanao|Mindanao|Philippines|Talagutang|5|-1|71 440 220 125.668098 7.268515 43330|Southern Mindanao|Mindanao|Philippines|Lasang|5|8219|197 443 220 125.674599 7.085199 43333|Southern Mindanao|Mawes Island|Philippines|Limao|5|2081|60 381 220 125.675598 11.17881 43334|Eastern Visayas| |Philippines|Asgad|5|-1|269 459 220 125.682899 5.978099 43336|Southern Mindanao|Mindanao|Philippines|Bugis|5|-1|541 398 220 125.683333 10.066667 43337| |Dinagat|Philippines|Layagoang|6|-1|37 445 220 125.689499 6.95979 43339| |Talikud|Philippines|Dadaotan|5|-1|2 403 221 125.7 9.75 43343|Surigao del Norte| |Philippines|Talavera|6|-1|92 456 221 125.700798 6.188708 43345|Southern Mindanao|Mindanao|Philippines|Biton|5|-1|1680 457 221 125.700996 6.145576 43346|Southern Mindanao|Mindanao|Philippines|Calian|5|3472|1672 382 221 125.7089 11.10077 43348|Eastern Visayas| |Philippines|Mercedes|5|-1|459 383 221 125.719498 11.03693 43353|Eastern Visayas| |Philippines|Guiuan|3|11009|27 405 221 125.728897 9.578163 43357|Surigao del Norte|Mindanao|Philippines|Claver|5|5864|20 445 222 125.7687 6.928881 43362|Southern Mindanao|Mawes Island|Philippines|Pangubatan|5|-1|929 384 222 125.7742 11.01663 43363|Eastern Samar|Calicoan Island|Philippines|Baras|5|-1|113 442 222 125.779297 7.101028 43364|Southern Mindanao|Mawes Island|Philippines|Aumbay|5|3381|690 444 222 125.781799 6.975546 43365|Southern Mindanao|Mawes Island|Philippines|Ligtong|5|-1|984 388 222 125.817299 10.72489 43369|Eastern Visayas|Calicoan Island|Philippines|Cagosoan Pt|5|-1|28 30 222 125.826944 34.604167 43371|Jeollanam-do| |Republic of Korea|Chehang-ni|6|-1|9 6 224 125.961389 36.2325 43401|Chungcheongnam-do| |Republic of Korea|Hwangdo|6|-1|39 405 224 125.965599 9.625143 43402|Northern Mindanao|Masapalid Island|Philippines|Socorro|5|9613|57 409 225 125.970802 9.342014 43403|Surigao del Sur|Mindanao|Philippines|Cantilan|4|9318|30 27 225 125.971111 34.7775 43404|Jeollanam-do|Bigeum-do|Republic of Korea|Doko-ri|6|-1|2 7 225 125.983333 36.116667 43409|Chungcheongnam-do|Eocheong-do|Republic of Korea|Och'ong|6|-1|44 26 225 125.983611 34.871667 43410|Jeollanam-do| |Republic of Korea|Bunkai-ri|6|-1|3 446 225 126.010002 6.894197 43415|Southern Mindanao|Mindanao|Philippines|Lupon|5|26948|60 399 226 126.0439 10.01967 43425|Northern Mindanao|Tona Island|Philippines|Sapao|5|2263|58 399 226 126.055801 9.985744 43427|Northern Mindanao|Tona Island|Philippines|Beilon|5|-1|58 403 226 126.057297 9.760897 43428|Northern Mindanao|Tona Island|Philippines|Dapa|5|8767|20 398 226 126.063599 10.05127 43431|Northern Mindanao|Tona Island|Philippines|Alegria|5|-1|507 399 226 126.077698 10.01504 43434|Northern Mindanao|Tona Island|Philippines|Burgos|5|-1|58 419 226 126.0923 8.634224 43440|Southern Mindanao|Mindanao|Philippines|Lianga|4|13570|17 27 226 126.1 34.766667 43444|Jeollanam-do| |Republic of Korea|Ach'on|6|-1|2 401 227 126.100899 9.870277 43445|Northern Mindanao|Tona Island|Philippines|Pilar|4|2348|141 401 227 126.111397 9.895393 43448|Northern Mindanao|Tona Island|Philippines|Caridad|5|-1|141 26 227 126.116667 34.866667 43449|Jeollanam-do| |Republic of Korea|Ikkum-ni|6|-1|7 402 227 126.141899 9.826616 43452|Northern Mindanao|Tona Island|Philippines|Libertad|5|-1|3 20 227 126.15 35.283333 43456|Jeollanam-do| |Republic of Korea|Chogun-mal|6|-1|4 402 227 126.155899 9.787407 43459|Northern Mindanao|Tona Island|Philippines|General Luna|5|-1|3 412 227 126.156502 9.118373 43460|Southern Mindanao|Mindanao|Philippines|Buenavista|5|2556|13 454 228 126.174004 6.361191 43463|Southern Mindanao|Mindanao|Philippines|Tagabibi|5|-1|310 410 228 126.175797 9.249244 43464|Surigao del Sur|Mindanao|Philippines|Burgos|5|3483|54 411 228 126.177902 9.2141 43465|Surigao del Sur|Mindanao|Philippines|Tigao|5|2074|72 409 228 126.181801 9.302837 43467|Surigao del Sur|Mindanao|Philippines|Madrelino|5|-1|33 413 228 126.199699 9.076904 43471|Surigao del Sur|Mindanao|Philippines|Tandag|5|28569|18 418 228 126.208397 8.710214 43473|Southern Mindanao|Mindanao|Philippines|Salvacion|5|2063|20 445 228 126.215202 6.957314 43474|Southern Mindanao|Mindanao|Philippines|Mati|4|72429|435 451 228 126.221298 6.551013 43476|Davao Oriental|Mindanao|Philippines|Kabuaya|5|-1|99 418 228 126.221397 8.745682 43477|Southern Mindanao|Mindanao|Philippines|Oteiza|5|-1|20 414 229 126.234091 9.021659 43481|Southern Mindanao|Mindanao|Philippines|Tago|5|6215|30 418 229 126.238403 8.766115 43482|Southern Mindanao|Mindanao|Philippines|Santo Nino|5|-1|86 414 229 126.238998 8.97806 43483|Southern Mindanao|Mindanao|Philippines|Somosomo|5|-1|30 414 229 126.264702 8.981843 43487|Southern Mindanao|Mindanao|Philippines|La Paz|5|2289|30 51 229 126.269096 33.22438 43489|Jeju-do|Cheju do|Republic of Korea|Moseulpo|3|-1|61 417 229 126.279297 8.779184 43491|Southern Mindanao|Mindanao|Philippines|Antipolo|5|-1|31 417 229 126.297997 8.803303 43498|Southern Mindanao|Mindanao|Philippines|Marihatag|5|3798|31 51 229 126.2995 33.22662 43501|Jeju-do|Cheju do|Republic of Korea|Sage-ri|5|-1|61 415 230 126.302597 8.914381 43505|Southern Mindanao|Mindanao|Philippines|Cagwait|5|-1|192 423 230 126.319 8.370713 43509|Southern Mindanao|Mindanao|Philippines|Hinatuan|4|9873|7 422 230 126.319801 8.453499 43510|Southern Mindanao|Mindanao|Philippines|Tinago|5|-1|2 446 230 126.329002 6.869153 43514|Davao Oriental|Mindanao|Philippines|Bobon|5|4472|276 444 230 126.345596 7.008527 43516|Southern Mindanao|Mindanao|Philippines|Tagabaquid|5|-1|289 423 230 126.353302 8.419753 43518|Southern Mindanao|Mindanao|Philippines|San Juan|5|-1|7 430 230 126.365997 7.94786 43522|Southern Mindanao|Mindanao|Philippines|Pagtilaan|5|-1|14 12 231 126.366667 35.816667 43523|Jeollabuk-do| |Republic of Korea|Kan|6|-1|6 431 231 126.375504 7.868043 43526|Davao Oriental|Mindanao|Philippines|Boston|5|2865|32 424 231 126.376602 8.302438 43527|Surigao del Sur|Mindanao|Philippines|Otiela|5|-1|60 428 231 126.413597 8.036462 43536|Surigao del Sur|Mindanao|Philippines|Lingig|5|6304|194 427 232 126.436401 8.166382 43544|Southern Mindanao|Mindanao|Philippines|Barcelona|5|3486|254 443 232 126.457703 7.065197 43548|Southern Mindanao|Mindanao|Philippines|Jovellar|5|2315|560 15 232 126.483333 35.633333 43555|Jeollabuk-do| |Republic of Korea|Chongam|6|-1|6 36 232 126.5 34.183333 43560|Jeollanam-do| |Republic of Korea|Bosei-ri|6|-1|5 433 233 126.503304 7.734159 43564|Southern Mindanao|Mindanao|Philippines|San Antonio|5|-1|2 442 233 126.5121 7.144001 43565|Southern Mindanao|Mindanao|Philippines|Santa Cruz|5|-1|584 439 233 126.516899 7.343137 43568|Southern Mindanao|Mindanao|Philippines|San Pedro|5|4010|184 50 233 126.518097 33.236691 43569|Jeju-do|Cheju do|Republic of Korea|Hokan-ri|5|-1|9 439 233 126.519203 7.309498 43570|Southern Mindanao|Mindanao|Philippines|San Jose|5|-1|184 441 233 126.521797 7.179108 43573|Southern Mindanao|Mindanao|Philippines|Zaragosa|5|-1|390 35 233 126.525398 34.29533 43574|Jeollanam-do| |Republic of Korea|Katsuto|5|-1|17 441 233 126.541298 7.216363 43578|Southern Mindanao|Mindanao|Philippines|Manay|5|20292|390 437 233 126.548798 7.440031 43579|Southern Mindanao|Mindanao|Philippines|Baculin B|5|-1|138 434 233 126.549382 7.696109 43580|Davao Oriental|Mindanao|Philippines|Kinablangan|5|5364|144 438 233 126.551102 7.398685 43581|Southern Mindanao|Mindanao|Philippines|Manurigao|5|-1|242 439 233 126.552101 7.320878 43582|Southern Mindanao|Mindanao|Philippines|Central|5|-1|184 50 234 126.569397 33.243351 43591|Jeju-do|Cheju do|Republic of Korea|Sinhyo-ri|5|-1|21 440 234 126.573402 7.286629 43593|Davao Oriental|Mindanao|Philippines|Santiago|5|2631|890 437 234 126.5923 7.464776 43597|Southern Mindanao|Mindanao|Philippines|Baculin|5|2955|565 36 234 126.616667 34.233333 43601|Jeollanam-do| |Republic of Korea|Haenggan-ni|6|-1|2 50 234 126.619003 33.262871 43603|Jeju-do|Cheju do|Republic of Korea|Seogwipo|4|88512|21 37 235 126.666667 34.133333 43614|Jeollanam-do|Soan-do|Republic of Korea|Bira-ri|6|-1|39 491 235 126.696602 3.879231 43619|Sulawesi Utara|Pulau Salebabu|Indonesia|Salebabu|5|-1|14 490 236 126.7015 3.933036 43622|Sulawesi Utara|Pulau Salebabu|Indonesia|Urung|5|-1|132 154 236 126.720001 26.357719 43625|Okinawa|Kume-jima|Japan|Ohara|5|-1|19 485 236 126.723503 4.28194 43626|Sulawesi Utara|Pulau Karakelong|Indonesia|Lobo|5|-1|408 50 236 126.733333 33.283333 43628|Jeju-do|Cheju do|Republic of Korea|T'aehung-ni|6|-1|96 154 236 126.741012 26.359274 43631|Okinawa|Kume-jima|Japan|Nishime|6|-1|19 154 236 126.742386 26.35256 43632|Okinawa|Kume-jima|Japan|Nakadomari|6|-1|19 30 236 126.765297 34.624538 43639|Jeollanam-do| |Republic of Korea|Gangjin|4|-1|40 154 236 126.765816 26.338667 43640|Okinawa|Kume-jima|Japan|Gima|6|-1|19 481 237 126.775299 4.532322 43642|Sulawesi Utara|Pulau Karakelong|Indonesia|Mamahan|5|-1|2 489 237 126.7967 4.022254 43645|Sulawesi Utara|Pulau Karakelong|Indonesia|Tule|5|-1|927 155 237 126.798897 26.2999 43646|Okinawa|Kume-jima|Japan|Shimajiri|5|-1|388 154 237 126.800697 26.336929 43647|Okinawa|Kume-jima|Japan|Fuija|5|-1|19 487 237 126.802299 4.152471 43648|Sulawesi Utara|Pulau Karakelong|Indonesia|Pulutan|5|-1|233 154 237 126.802773 26.345875 43649|Okinawa|Kume-jima|Japan|Tomari|6|-1|19 154 237 126.805038 26.358038 43651|Okinawa|Kume-jima|Japan|Maja|6|-1|19 33 237 126.816667 34.383333 43654|Jeollanam-do| |Republic of Korea|Changji-dong|6|-1|11 481 237 126.820602 4.50454 43657|Sulawesi Utara|Pulau Karakelong|Indonesia|Gemeh|5|-1|2 49 237 126.830803 33.321812 43661|Jeju-do|Cheju do|Republic of Korea|Pyoseon-ri|5|-1|13 492 238 126.835098 3.790457 43662|Sulawesi Utara|Pulau Kabaruang|Indonesia|Damar|5|-1|580 493 238 126.841599 3.7542 43663|Sulawesi Utara|Pulau Kabaruang|Indonesia|Damau|5|-1|646 482 238 126.864098 4.449947 43664|Sulawesi Utara|Pulau Karakelong|Indonesia|Apan|5|-1|436 32 238 126.883333 34.466667 43667|Jeollanam-do| |Republic of Korea|Chamdu|6|-1|2 48 238 126.893898 33.402569 43670|Jeju-do|Cheju do|Republic of Korea|Onp'yong-ni|5|-1|44 36 239 126.9 34.2 43671|Jeollanam-do|Cheongsan-do|Republic of Korea|Chinsan-ni|6|-1|25 47 239 126.900398 33.46859 43672|Jeju-do|Cheju do|Republic of Korea|Shiko|5|-1|92 485 239 126.913498 4.280431 43673|Sulawesi Utara|Pulau Karakelong|Indonesia|Tabang|5|-1|1124 478 242 127.116667 4.75 43691|Sulawesi Utara|Pulau Merampit|Indonesia|Dampoelis|6|-1|280 153 242 127.15 26.366667 43693|Okinawa|Tonaki-shima|Japan|Tonaki|6|-1|152 28 243 127.2 34.716667 43702|Jeollanam-do| |Republic of Korea|Ch'ongam|6|-1|5 150 243 127.222664 26.586834 43705|Okinawa|Aguni-jima|Japan|Aguni|6|-1|37 150 243 127.229103 26.5791 43706|Okinawa|Aguni-jima|Japan|Hama|5|-1|37 156 244 127.285042 26.203049 43711|Okinawa| |Japan|Aka|6|-1|30 38 244 127.3 34.05 43714|Jeollanam-do| |Republic of Korea|Changch'on|6|-1|2 33 244 127.3 34.433333 43715|Jeollanam-do| |Republic of Korea|Chijung-ni|6|-1|17 156 245 127.343803 26.176994 43723|Okinawa|Tokashiki-shima|Japan|Awaren|6|-1|55 156 245 127.363998 26.18593 43727|Okinawa|Tokashiki-shima|Japan|Tokashiku|5|-1|55 35 246 127.4 34.283333 43738|Jeollanam-do| |Republic of Korea|Kok'ori|6|-1|30 27 247 127.45 34.783333 43754|Jeollanam-do| |Republic of Korea|Changdo-ri|6|-1|2 33 247 127.483333 34.433333 43761|Jeollanam-do|Oeraro-do|Republic of Korea|Aech'o-ri|6|-1|18 26 249 127.5765 34.873669 43778|Jeollanam-do| |Republic of Korea|Sangsin|5|-1|41 158 251 127.722504 26.09071 43822|Okinawa|Okinawa-jima|Japan|Nakaza|5|-1|353 29 252 127.780833 34.642222 43834|Jeollanam-do|Dolsan-do|Republic of Korea|Chukp'o|6|-1|14 32 252 127.8 34.483333 43837|Jeollanam-do| |Republic of Korea|Ando|6|-1|39 155 252 127.805099 26.27367 43838|Okinawa|Okinawa-jima|Japan|Atsuta|5|-1|26 156 252 127.806396 26.167959 43839|Okinawa|Okinawa-jima|Japan|Fusozaki|5|-1|9 148 252 127.810898 26.708111 43840|Okinawa|Ie-shima|Japan|Higashieue|5|-1|34 28 253 127.864722 34.731667 43851|Gyeongsangnam-do| |Republic of Korea|Hangch'on|6|-1|25 154 254 127.914703 26.30126 43868|Okinawa|Okinawa-jima|Japan|Henna|5|-1|2 152 254 127.924698 26.4473 43872|Okinawa|Okinawa-jima|Japan|Kin|5|-1|38 145 254 127.929802 26.91972 43875|Okinawa|Izena-shima|Japan|Izena|5|-1|45 144 254 127.942688 27.018192 43880|Okinawa|Iheya-shima|Japan|Shimajiri|6|-1|44 24 255 127.966667 34.966667 43889|Gyeongsangnam-do| |Republic of Korea|Pit'o|6|-1|8 143 255 127.974487 27.042202 43892|Okinawa|Iheya-shima|Japan|Maetomari|6|-1|98 143 255 127.986099 27.056721 43898|Okinawa|Iheya-shima|Japan|Tana|5|-1|98 153 255 128.0 26.383333 43900|Okinawa| |Japan|Ichi|6|-1|122 151 256 128.067596 26.549549 43910|Okinawa|Okinawa-jima|Japan|Teima|5|-1|83 150 258 128.174698 26.631281 43936|Okinawa|Okinawa-jima|Japan|Kaata|5|-1|134 28 258 128.183333 34.7 43937|Gyeongsangnam-do| |Republic of Korea|Cholge|6|-1|29 30 259 128.266667 34.633333 43951|Gyeongsangnam-do|Jogji-do|Republic of Korea|Chabup'o|6|-1|46 28 259 128.298056 34.75 43960|Gyeongsangnam-do|Mareug-do|Republic of Korea|Chop'o|6|-1|24 148 260 128.314499 26.738319 43963|Okinawa|Okinawa-jima|Japan|Ada|5|-1|161 26 260 128.360556 34.880556 43974|Gyeongsangnam-do| |Republic of Korea|Chamgae|6|-1|2 27 261 128.430893 34.809589 43983|Gyeongsangnam-do| |Republic of Korea|Irun|5|-1|13 144 262 128.440094 27.030729 43985|Okinawa|Yoron-jima|Japan|Ashito|5|-1|616 143 262 128.444199 27.052217 43986|Okinawa|Yoron-jima|Japan|Nama|6|-1|127 144 262 128.444809 27.029875 43987|Okinawa|Yoron-jima|Japan|Mugiya|6|-1|616 24 262 128.473999 35.010479 43994|Gyeongsangnam-do| |Republic of Korea|Maejong|5|-1|21 139 263 128.533432 27.364809 44005|Okinawa|Okino-erabu-shima|Japan|Shimajiri|6|-1|151 139 264 128.571899 27.33033 44012|Okinawa|Okino-erabu-shima|Japan|China|5|-1|344 139 264 128.587906 27.344797 44015|Okinawa|Okino-erabu-shima|Japan|Kuronuki|6|-1|344 139 264 128.602478 27.357004 44020|Okinawa|Okino-erabu-shima|Japan|Yaja|6|-1|344 23 264 128.622604 35.080151 44023|Gyeongsangnam-do| |Republic of Korea|Ungcheon|4|-1|20 139 264 128.626251 27.365835 44024|Okinawa|Okino-erabu-shima|Japan|Furusalo|6|-1|344 138 265 128.654923 27.414644 44035|Okinawa|Okino-erabu-shima|Japan|Degi|6|-1|304 138 265 128.655502 27.390619 44036|Okinawa|Okino-erabu-shima|Japan|Wadomari|5|-1|304 60 265 128.662292 32.599159 44038|Nagasaki|Fukue-jima|Japan|Daiho|5|-1|37 138 265 128.66658 27.42009 44039|Okinawa|Okino-erabu-shima|Japan|Nishibaru|6|-1|304 138 265 128.692505 27.427311 44047|Okinawa|Okino-erabu-shima|Japan|Kunigami|5|-1|304 26 266 128.725403 34.86351 44050|Gyeongsangnam-do|Geoje-do|Republic of Korea|Jangseunpo|5|-1|44 60 266 128.748306 32.599869 44052|Nagasaki|Fukue-jima|Japan|Yamashita|5|-1|14 60 267 128.773697 32.60751 44055|Nagasaki|Fukue-jima|Japan|Tomie|4|-1|71 24 267 128.833333 35.016667 44059|Gyeongsangnam-do| |Republic of Korea|Daiko|6|-1|43 59 268 128.850006 32.68729 44060|Nagasaki|Fukue-jima|Japan|Fukue|3|26468|46 56 269 128.933333 32.85 44084|Nagasaki| |Japan|Funamawari|6|-1|61 134 269 128.937698 27.668261 44086|Okinawa|Tokuno-shima|Japan|Isen|5|-1|111 134 269 128.952011 27.676977 44089|Okinawa|Tokuno-shima|Japan|Kenfuku|6|-1|111 134 270 128.981232 27.681809 44093|Okinawa|Tokuno-shima|Japan|Meteku|6|-1|291 133 270 128.986664 27.713215 44094|Okinawa|Tokuno-shima|Japan|Omo|6|-1|84 134 270 128.99382 27.684526 44095|Okinawa|Tokuno-shima|Japan|Kinen|6|-1|291 58 270 129.0 32.75 44096|Nagasaki| |Japan|Ashinoura|6|-1|92 133 270 129.0112 27.734289 44100|Okinawa|Tokuno-shima|Japan|Kametsu|5|-1|84 23 270 129.016667 35.066667 44101|Gyeongsangnam-do| |Republic of Korea|Amnam-dong|6|-1|28 133 270 129.020676 27.745138 44102|Okinawa|Tokuno-shima|Japan|Kametoku|6|-1|84 133 270 129.026352 27.761742 44104|Okinawa|Tokuno-shima|Japan|Tokuwase|6|-1|84 51 271 129.057297 33.190281 44108|Nagasaki|Ojika-shima|Japan|Fuefuki|5|-1|23 56 271 129.060898 32.83688 44109|Nagasaki|Nakadori-jima|Japan|Narao|5|-1|57 56 271 129.084106 32.8736 44113|Nagasaki|Nakadori-jima|Japan|Iwaseura|5|-1|57 55 271 129.098907 32.947418 44116|Nagasaki|Nakadori-jima|Japan|Tainoura|5|-1|26 50 272 129.102203 33.25119 44118|Nagasaki|Uku-shima|Japan|Konoura|5|-1|34 50 272 129.132797 33.259338 44121|Nagasaki|Uku-shima|Japan|Taira|5|-1|34 55 272 129.143494 32.953499 44124|Nagasaki|Nakadori-jima|Japan|Ota|5|-1|31 22 273 129.166667 35.15 44128|Gyeongsangnam-do| |Republic of Korea|Haeundae|6|-1|94 126 273 129.188705 28.17778 44131|Okinawa|Kakeroma-jima|Japan|Saneku|5|-1|49 126 273 129.201599 28.18017 44135|Okinawa|Kakeroma-jima|Japan|Satsukawa|6|-1|49 126 273 129.216217 28.230053 44139|Okinawa| |Japan|Kudadon|6|-1|49 21 273 129.223206 35.23082 44142|Gyeongsangnam-do| |Republic of Korea|Gijang|5|-1|58 37 274 129.233902 34.106899 44144|Nagasaki| |Japan|Yoranain|5|-1|93 129 274 129.235901 28.02767 44145|Okinawa|Uke-shima|Japan|Ikechi|5|-1|244 129 274 129.25296 28.029959 44150|Okinawa|Uke-shima|Japan|Ukearnuro|6|-1|244 128 274 129.266449 28.089428 44154|Okinawa|Kakeroma-jima|Japan|Akitoku|6|-1|62 36 274 129.286301 34.19865 44157|Nagasaki| |Japan|Izuhara|5|-1|44 35 275 129.308807 34.264801 44162|Nagasaki| |Japan|Kechi|5|-1|80 127 275 129.312225 28.148367 44163|Okinawa| |Japan|Koniya|6|-1|51 19 275 129.326401 35.357811 44168|Gyeongsangnam-do| |Republic of Korea|Nasa|5|-1|69 128 275 129.32695 28.073978 44169|Okinawa|Kakeroma-jima|Japan|Tokuhama|6|-1|195 128 275 129.327621 28.092749 44170|Okinawa|Kakeroma-jima|Japan|Shodon|6|-1|195 128 275 129.336395 28.09602 44173|Okinawa|Kakeroma-jima|Japan|Ikenma|5|-1|195 127 275 129.359238 28.135887 44177|Okinawa| |Japan|Sokaru|6|-1|51 8 276 129.376205 36.03653 44181|Gyeongsangbuk-do| |Republic of Korea|Pohang|3|304318|19 35 276 129.376801 34.289639 44182|Nagasaki| |Japan|O-funakoshi|5|-1|101 126 276 129.379532 28.166933 44184|Okinawa| |Japan|Sekko|6|-1|125 4 276 129.389404 36.363708 44185|Gyeongsangbuk-do| |Republic of Korea|Ganggu|5|-1|74 126 276 129.404099 28.189449 44191|Okinawa| |Japan|Katoku|5|-1|125 17 276 129.429504 35.480129 44196|Gyeongsangnam-do| |Republic of Korea|Bangeojin|4|-1|56 126 277 129.436295 28.201908 44200|Okinawa| |Japan|Aoku|6|-1|218 125 277 129.44191 28.286716 44203|Okinawa| |Japan|Misato|6|-1|144 51 277 129.443497 33.205921 44205|Nagasaki|Hirado-shima|Japan|Maetsuyoshi|4|-1|31 126 277 129.446396 28.21678 44206|Okinawa| |Japan|Nakazato|5|-1|218 31 277 129.450806 34.549229 44207|Nagasaki| |Japan|Kin|5|-1|89 29 277 129.463806 34.647991 44208|Nagasaki| |Japan|Furusato|5|-1|31 29 277 129.465393 34.67041 44209|Nagasaki| |Japan|Toyo|5|-1|31 13 277 129.466667 35.7 44210|Gyeongsangbuk-do| |Republic of Korea|Chukchon|6|-1|39 125 277 129.477036 28.295727 44211|Okinawa| |Japan|Wase|6|-1|144 12 278 129.502701 35.80246 44216|Gyeongsangbuk-do| |Republic of Korea|Gampo|5|-1|73 49 278 129.521698 33.328579 44219|Nagasaki|Hirado-shima|Japan|Yamanaka|5|-1|17 52 278 129.533333 33.133333 44223|Nagasaki|Kuro-shima|Japan|Tashiro|6|-1|45 47 278 129.533333 33.483333 44224|Nagasaki| |Japan|Azuchi|6|-1|21 124 278 129.550247 28.344175 44227|Okinawa| |Japan|Takumo|6|-1|41 124 278 129.5569 28.327181 44230|Okinawa| |Japan|Kominato|5|-1|41 9 278 129.5578 35.985168 44231|Gyeongsangbuk-do| |Republic of Korea|Guryongpo|5|-1|40 49 278 129.558105 33.364109 44232|Nagasaki|Hirado-shima|Japan|Hirado|5|22405|17 124 278 129.561478 28.338049 44235|Okinawa| |Japan|Sakiharu|6|-1|41 123 279 129.580994 28.368771 44238|Okinawa| |Japan|Tokuchi|6|-1|52 123 279 129.582657 28.396734 44239|Okinawa| |Japan|Okachi|6|-1|52 123 279 129.591583 28.424374 44241|Okinawa| |Japan|Sekirubu|6|-1|52 107 279 129.602097 29.43815 44244|Kagoshima|Akuseki-shima|Japan|Akusekishima|5|-1|518 122 279 129.603638 28.453331 44245|Okinawa| |Japan|Tatsugo|6|-1|19 55 279 129.616898 32.930691 44247|Nagasaki|Matsu-shima|Japan|Kamanoura|5|-1|45 123 280 129.635605 28.4032 44251|Okinawa| |Japan|Akaogi|5|-1|79 123 280 129.67952 28.42642 44261|Okinawa| |Japan|Taira|6|-1|79 123 280 129.689438 28.416702 44264|Okinawa| |Japan|Setta|6|-1|79 43 280 129.696198 33.746861 44265|Saga| |Japan|Gonoura|5|-1|34 74 281 129.701599 31.64217 44268|Kagoshima|Shimo-koshiki-shima|Japan|Teuchi|5|-1|376 105 281 129.702606 29.597469 44269|Kagoshima|Suwanose-shima|Japan|Motomura|5|-1|726 122 281 129.709488 28.443644 44271|Okinawa| |Japan|Manya|6|-1|64 122 281 129.714218 28.468163 44273|Okinawa| |Japan|Sakibaru|6|-1|64 122 281 129.714996 28.450439 44274|Okinawa| |Japan|Kasari|5|-1|64 122 281 129.715179 28.460741 44276|Okinawa| |Japan|Usuku|6|-1|64 60 281 129.760895 32.574879 44284|Nagasaki|Kyushu|Japan|Nomo|3|-1|6 45 282 129.766667 33.566667 44287|Saga|Madara-shima|Japan|Madarashima|6|-1|44 61 282 129.781601 32.550709 44289|Nagasaki| |Japan|Wakimisaki|5|-1|77 55 282 129.783333 32.95 44291|Nagasaki|Kyushu|Japan|Katagami|6|-1|18 73 282 129.792007 31.751789 44293|Kagoshima|Shimo-koshiki-shima|Japan|Imuta|5|-1|198 72 283 129.834503 31.791201 44303|Kagoshima| |Japan|Taira|5|-1|87 59 283 129.840195 32.671169 44306|Nagasaki|Kyushu|Japan|Fukahori|5|-1|57 72 283 129.866394 31.821251 44315|Kagoshima|Kami-koshiki-shima|Japan|Naka-koshiki|5|-1|87 53 283 129.880295 33.060169 44317|Nagasaki|Kyushu|Japan|Kawatana|5|-1|11 86 284 129.912018 30.834576 44323|Kagoshima|Kuro-shima|Japan|Katadomari|6|-1|94 59 284 129.914141 32.697037 44324|Nagasaki|Kyushu|Japan|Mogi|5|-1|39 99 284 129.918625 29.987076 44325|Kagoshima|Kuchino-shima|Japan|Kuchinoshima|6|-1|413 71 284 129.9189 31.84334 44326|Kagoshima|Kami-koshiki-shima|Japan|Sato|5|-1|68 125 284 129.925293 28.29495 44329|Okinawa|Kikai-shima|Japan|Araki|5|-1|41 125 284 129.94638 28.283325 44332|Okinawa|Kikai-shima|Japan|Uekatsu|6|-1|41 46 284 129.953995 33.51672 44336|Saga|Kyushu|Japan|Oka|5|-1|13 125 285 129.976501 28.291571 44343|Okinawa|Kikai-shima|Japan|Urabaru|6|-1|91 124 285 129.984909 28.305506 44344|Okinawa|Kikai-shima|Japan|Aden|6|-1|342 124 285 130.005127 28.337242 44347|Okinawa|Kikai-shima|Japan|Somachi|6|-1|342 124 285 130.025757 28.359449 44351|Okinawa|Kikai-shima|Japan|Shitooke|6|-1|342 57 286 130.082397 32.789631 44360|Nagasaki|Kyushu|Japan|Yuki|5|-1|34 55 287 130.143143 32.907719 44371|Nagasaki|Kyushu|Japan|Yue|6|-1|2 55 287 130.146606 32.901051 44373|Nagasaki|Kyushu|Japan|Isahaya|4|96300|2 68 287 130.158905 32.09206 44375|Kagoshima| |Japan|Tajiri|5|-1|16 60 287 130.161896 32.6301 44377|Nagasaki|Kyushu|Japan|Kuchinotsu|5|-1|50 54 288 130.174805 33.011532 44379|Saga|Kyushu|Japan|Tara|5|-1|12 66 288 130.181305 32.190269 44382|Kagoshima| |Japan|Naga-shima|5|-1|22 55 288 130.186401 32.929756 44384|Nagasaki|Kyushu|Japan|Conagai|6|-1|8 51 288 130.188202 33.169941 44387|Saga|Kyushu|Japan|Suminoe|5|-1|2 44 288 130.224503 33.634682 44398|Fukuoka|Kyushu|Japan|Nishinoura|5|-1|8 92 289 130.233627 30.437239 44399|Kagoshima|Kuchinoerabu-jima|Japan|Nanakama|6|-1|362 60 289 130.237106 32.62027 44400|Nagasaki|Kyushu|Japan|Urada|5|-1|42 59 289 130.254425 32.638889 44401|Nagasaki|Kyushu|Japan|Oe|6|-1|17 80 289 130.286896 31.260281 44410|Kagoshima|Kyushu|Japan|Makurazuki|3|-1|84 59 290 130.307693 32.666531 44413|Nagasaki|Kyushu|Japan|Arie|4|-1|57 56 290 130.307693 32.86578 44414|Nagasaki|Kyushu|Japan|Funatsu|5|-1|21 56 290 130.30928 32.869576 44416|Nagasaki|Kyushu|Japan|Tairamachi|6|-1|21 63 290 130.332306 32.407619 44423|Nagasaki| |Japan|Hikichi|5|-1|45 56 290 130.340027 32.842342 44424|Nagasaki|Kyushu|Japan|Matsuomachi|6|-1|21 58 290 130.348099 32.71513 44427|Nagasaki|Kyushu|Japan|Kareki|5|-1|36 44 290 130.35361 33.645497 44429|Fukuoka|Kyushu|Japan|Saitosaki|5|-1|6 57 291 130.373306 32.779881 44433|Nagasaki|Kyushu|Japan|Shimabara|4|38071|46 63 291 130.392395 32.397072 44435|Nagasaki| |Japan|Takagushi|5|-1|33 62 291 130.412399 32.435871 44441|Nagasaki| |Japan|Futamado|5|-1|23 62 292 130.435501 32.465118 44449|Nagasaki| |Japan|Kami-jima|5|-1|10 60 292 130.438321 32.61205 44451|Kumamoto| |Japan|Iwaya|5|-1|4 60 292 130.440796 32.583988 44453|Kumamoto| |Japan|Noboritate|5|-1|4 60 292 130.466003 32.605621 44460|Kumamoto|Kyushu|Japan|Misumi|5|-1|4 60 292 130.490402 32.587929 44466|Kumamoto| |Japan|Higashiko|5|-1|4 76 293 130.519608 31.504789 44470|Kagoshima|Kyushu|Japan|Taniyama|3|-1|78 60 293 130.528305 32.617149 44473|Kumamoto|Kyushu|Japan|Funatsu|5|-1|3 75 293 130.552505 31.570539 44477|Kagoshima|Kyushu|Japan|Kagoshima|2|548213|16 75 293 130.565094 31.628969 44480|Kagoshima|Kyushu|Japan|Nanakuba|5|-1|16 95 294 130.596405 30.25733 44485|Kagoshima|Yaku-shima|Japan|Haro|5|-1|86 95 294 130.59877 30.257164 44486|Kagoshima|Yaku-shima|Japan|Mugyu|6|-1|86 81 294 130.632294 31.193171 44493|Kagoshima|Kyushu|Japan|Yamagawa|4|-1|59 94 295 130.651398 30.327391 44499|Kagoshima|Yaku-shima|Japan|Ambo|5|-1|42 94 295 130.656952 30.339428 44500|Kagoshima|Yaku-shima|Japan|Funayuki|6|-1|42 73 295 130.667206 31.733 44504|Kagoshima|Kyushu|Japan|Kajiki|3|22930|118 84 295 130.687195 31.027559 44510|Kagoshima|Kyushu|Japan|Tomai|5|-1|99 73 296 130.736603 31.739531 44519|Kagoshima|Kyushu|Japan|Uchiyamada|5|-1|2 83 297 130.818893 31.09074 44544|Kagoshima|Kyushu|Japan|Nakamura|5|-1|80 88 298 130.858124 30.752808 44559|Kagoshima|Make-jima|Japan|Hayama|6|-1|41 88 298 130.862106 30.732824 44562|Kagoshima|Make-jima|Japan|Takabo|6|-1|41 94 298 130.867478 30.357643 44564|Kagoshima|Tanega-shima|Japan|Shimo-Nishime|6|-1|38 38 298 130.876801 34.088699 44568|Yamaguchi|Honshu|Japan|Yoshimoura|5|-1|2 33 299 130.962006 34.4091 44602|Yamaguchi|Honshu|Japan|Kawashiri-misaki|5|-1|12 92 300 130.966858 30.44454 44607|Kagoshima|Tanega-shima|Japan|Hamada|6|-1|125 93 300 130.971893 30.401085 44608|Kagoshima|Tanega-shima|Japan|Osaki|6|-1|144 91 300 130.972 30.500051 44609|Kagoshima|Tanega-shima|Japan|Onasu|6|-1|87 43 300 130.982895 33.724281 44613|Fukuoka|Kyushu|Japan|Yukuhashi|3|70691|2 90 300 130.986939 30.593933 44614|Kagoshima|Tanega-shima|Japan|Nijuban|6|-1|2 91 300 130.988205 30.540665 44615|Kagoshima|Tanega-shima|Japan|Nakayama|6|-1|87 90 300 130.988724 30.614258 44616|Kagoshima|Tanega-shima|Japan|Jurokuban|6|-1|2 39 300 131.003525 34.014832 44621|Yamaguchi|Honshu|Japan|Chofu|6|-1|11 81 300 131.0065 31.219561 44622|Kagoshima|Kyushu|Japan|Higashi|5|-1|77 40 300 131.006897 33.941021 44623|Fukuoka|Kyushu|Japan|Moji|5|-1|7 91 300 131.007111 30.553392 44624|Kagoshima|Tanega-shima|Japan|Masuda|6|-1|87 90 300 131.029983 30.579508 44631|Kagoshima|Tanega-shima|Japan|Ikenohira|6|-1|2 87 301 131.033669 30.810607 44633|Kagoshima|Tanega-shima|Japan|Kunigami|5|-1|44 87 301 131.036911 30.807772 44635|Kagoshima|Tanega-shima|Japan|Kunikami|6|-1|44 89 301 131.039001 30.645929 44637|Kagoshima|Tanega-shima|Japan|Anjo|5|-1|61 90 301 131.045349 30.613154 44640|Kagoshima|Tanega-shima|Japan|Tachiyama|6|-1|96 89 301 131.050323 30.635092 44644|Kagoshima|Tanega-shima|Japan|Ono|6|-1|61 87 301 131.055786 30.782158 44645|Kagoshima|Tanega-shima|Japan|Yanagihara|6|-1|44 44 301 131.061203 33.648548 44648|Fukuoka|Kyushu|Japan|Shiida|5|-1|4 89 301 131.062058 30.68648 44649|Kagoshima|Tanega-shima|Japan|Azako|6|-1|61 88 301 131.062622 30.743286 44650|Kagoshima|Tanega-shima|Japan|Guniwa|6|-1|39 88 301 131.062775 30.724966 44651|Kagoshima|Tanega-shima|Japan|Anno|6|-1|39 87 301 131.063553 30.812904 44652|Kagoshima|Tanega-shima|Japan|Minato|6|-1|44 87 301 131.066025 30.768835 44653|Kagoshima|Tanega-shima|Japan|Iseki|6|-1|44 88 301 131.07138 30.717779 44655|Kagoshima|Tanega-shima|Japan|Shoiiura|6|-1|39 79 301 131.083333 31.316667 44658|Kagoshima|Kyushu|Japan|Igatan|6|-1|53 77 302 131.103302 31.47282 44664|Kagoshima|Kyushu|Japan|Shibushi|3|18031|35 27 302 131.152298 34.766781 44673|Yamaguchi|Mi-shima|Japan|Hommura|5|-1|37 162 303 131.230606 25.82855 44683|Okinawa| |Japan|Minami-daito|5|-1|1946 40 304 131.246796 33.942181 44691|Yamaguchi|Honshu|Japan|Ube|3|171170|9 161 304 131.247742 25.858568 44692|Okinawa| |Japan|Minamimura|6|-1|1437 161 304 131.247757 25.866917 44693|Okinawa| |Japan|Kyuto|6|-1|1437 78 304 131.259995 31.424021 44697|Miyazaki|Kyushu|Japan|Honjo|4|-1|28 160 304 131.293198 25.941071 44703|Okinawa| |Japan|Kita-daito|5|-1|1246 40 305 131.303894 33.95116 44705|Yamaguchi|Honshu|Japan|Tokonami|5|-1|15 79 305 131.325806 31.36166 44707|Miyazaki|Kyushu|Japan|Miyanoura|5|-1|131 40 305 131.345596 33.961899 44711|Yamaguchi|Honshu|Japan|Kurosaki|5|-1|15 39 305 131.35788 34.016762 44714|Yamaguchi|Honshu|Japan|Ajisu|6|-1|6 76 306 131.376907 31.526569 44720|Miyazaki|Kyushu|Japan|Meitsu|4|-1|80 75 306 131.400803 31.575729 44724|Miyazaki|Kyushu|Japan|Aburatsu|4|-1|31 70 307 131.435196 31.96059 44735|Miyazaki|Kyushu|Japan|Niinauri|5|-1|18 39 307 131.439102 34.008141 44737|Yamaguchi|Honshu|Japan|Aioura|5|-1|14 70 307 131.447205 31.9125 44738|Miyazaki|Kyushu|Japan|Tachibandori|5|-1|18 73 307 131.455704 31.71191 44740|Miyazaki|Kyushu|Japan|Udo|5|-1|45 72 307 131.465302 31.77947 44741|Miyazaki|Kyushu|Japan|Oryuzako|5|-1|26 69 307 131.472397 31.971861 44745|Miyazaki|Kyushu|Japan|Haruguchi|5|-1|15 67 308 131.520996 32.124321 44753|Miyazaki|Kyushu|Japan|Takanabe|3|22158|22 67 308 131.536301 32.117748 44758|Miyazaki|Kyushu|Japan|Uwae|5|-1|22 38 309 131.580093 34.043549 44765|Yamaguchi|Honshu|Japan|Hofu|3|115176|6 39 309 131.582049 34.01626 44766|Yamaguchi|Honshu|Japan|Toiyaguchi|5|-1|25 64 309 131.602997 32.327229 44770|Miyazaki|Kyushu|Japan|Mimitsu|4|-1|21 38 310 131.640793 34.0439 44777|Yamaguchi|Honshu|Japan|Tonomi|5|-1|7 62 310 131.647507 32.466961 44778|Miyazaki|Kyushu|Japan|Kadogawa|5|-1|38 44 310 131.649002 33.652969 44779|Oita|Kyushu|Japan|Imi|4|-1|20 60 310 131.6772 32.571449 44786|Miyazaki|Kyushu|Japan|Nobeoka|3|121918|9 48 310 131.682693 33.4184 44787|Oita|Kyushu|Japan|Aki|5|-1|19 62 311 131.705399 32.491879 44789|Miyazaki|Kyushu|Japan|Taina|5|-1|78 45 311 131.712402 33.59333 44790|Oita|Kyushu|Japan|Tomiku|5|-1|27 47 311 131.729599 33.491989 44796|Oita|Kyushu|Japan|Furuichi|4|-1|28 46 311 131.732101 33.554722 44798|Oita|Kyushu|Japan|Tsurukawa|5|-1|20 40 312 131.822205 33.93808 44809|Yamaguchi| |Japan|Oura|5|-1|39 51 312 131.829803 33.170959 44810|Oita|Kyushu|Japan|Sashioi|5|-1|16 59 313 131.839706 32.6987 44812|Miyazaki|Kyushu|Japan|Miyanoura|5|-1|88 51 313 131.861801 33.19841 44815|Oita|Kyushu|Japan|Uwaura|5|-1|51 57 313 131.8759 32.78928 44820|Oita|Kyushu|Japan|Maruichibi|4|-1|10 50 313 131.881393 33.24638 44822|Oita|Kyushu|Japan|Saganoseki|3|-1|81 57 314 131.925507 32.79174 44831|Oita|Kyushu|Japan|Kamae|5|-1|78 53 314 131.931793 33.050209 44833|Oita|Kyushu|Japan|Amamui|5|-1|29 55 315 131.967896 32.9175 44838|Oita|Kyushu|Japan|Urashiro|5|-1|40 40 315 131.971024 33.941326 44839|Yamaguchi|Honshu|Japan|Murozumi|6|-1|5 57 315 131.979004 32.818619 44843|Oita|Kyushu|Japan|Kamaeura|5|-1|101 53 315 132.003403 33.05949 44844|Oita|Kyushu|Japan|Hotojima|5|-1|67 49 315 132.0289 33.340771 44849|Ehime|Shikoku|Japan|Shono|5|-1|127 42 316 132.048203 33.789799 44853|Yamaguchi| |Japan|Yodai|5|-1|48 55 316 132.068295 32.939435 44857|Oita|Kyushu|Japan|Tsurumi-zaki|5|-1|98 40 317 132.115204 33.961929 44868|Yamaguchi|Honshu|Japan|Hirao|3|-1|21 41 317 132.118698 33.896069 44870|Yamaguchi|Honshu|Japan|Okuni|5|-1|50 41 317 132.12168 33.836574 44871|Yamaguchi|Honshu|Japan|Murotsu|5|-1|50 48 317 132.149994 33.379059 44875|Ehime|Shikoku|Japan|Natori|5|-1|59 48 318 132.183701 33.410881 44883|Ehime|Shikoku|Japan|Kawanohama|5|-1|63 37 318 132.190186 34.115105 44886|Yamaguchi|Honshu|Japan|Fuju|6|-1|20 37 318 132.194199 34.10445 44890|Yamaguchi|Honshu|Japan|Aogi|6|-1|20 37 318 132.196106 34.134884 44891|Yamaguchi|Honshu|Japan|Midoro|6|-1|20 39 318 132.198395 33.992329 44894|Yamaguchi|Honshu|Japan|Obatake|5|-1|11 38 318 132.200195 34.072636 44895|Yamaguchi|Honshu|Japan|Tsuzu|6|-1|26 38 318 132.204498 34.069511 44897|Yamaguchi|Honshu|Japan|Tsutsu|5|-1|26 38 318 132.213593 34.040722 44898|Yamaguchi|Honshu|Japan|Yu|5|-1|26 35 318 132.227997 34.252312 44901|Hiroshima|Honshu|Japan|Kuba|5|-1|15 41 319 132.234695 33.876011 44906|Yamaguchi| |Japan|Izui|5|-1|39 35 319 132.266464 34.288506 44908|Hiroshima|Honshu|Japan|Shioya|6|-1|2 35 319 132.278107 34.28508 44911|Hiroshima|Honshu|Japan|Hama|5|-1|2 34 319 132.294785 34.341164 44914|Hiroshima|Honshu|Japan|Hataguchi|6|-1|2 36 320 132.311737 34.192001 44921|Hiroshima| |Japan|Atada|6|-1|31 34 320 132.315231 34.346169 44922|Hiroshima|Honshu|Japan|Jigozen|6|-1|21 35 320 132.32251 34.296703 44924|Hiroshima| |Japan|Shimonohama|6|-1|33 35 320 132.324997 34.294201 44925|Hiroshima| |Japan|Miyajima|3|-1|33 34 320 132.331589 34.350105 44927|Hiroshima|Honshu|Japan|Hatsukaichi|4|77044|21 41 320 132.356598 33.88002 44942|Yamaguchi| |Japan|Isaki|5|-1|103 34 320 132.3591 34.361565 44943|Hiroshima|Honshu|Japan|Itsukaichi|6|-1|21 35 321 132.381195 34.251949 44949|Hiroshima| |Japan|Mino|5|-1|2 49 321 132.389603 33.31633 44950|Ehime|Shikoku|Japan|Takayama|5|-1|57 36 321 132.398544 34.215679 44952|Hiroshima| |Japan|Korenaga|6|-1|14 54 321 132.401093 33.03038 44958|Ehime|Shikoku|Japan|Ajiro|5|-1|80 35 321 132.405639 34.256832 44963|Hiroshima| |Japan|Nakanohama|6|-1|2 36 321 132.410095 34.206261 44967|Hiroshima| |Japan|Hata|6|-1|14 36 321 132.417206 34.19664 44970|Hiroshima| |Japan|Kanokawa|5|-1|14 39 321 132.418839 34.021824 44971|Yamaguchi| |Japan|Hashirajima|6|-1|49 40 322 132.434204 33.93074 44976|Yamaguchi| |Japan|Ihota|5|-1|40 35 322 132.438644 34.284061 44979|Hiroshima| |Japan|Osu|6|-1|14 35 322 132.445694 34.246639 44984|Hiroshima| |Japan|Tsukumo|5|-1|14 38 322 132.462097 34.094151 44989|Hiroshima| |Japan|Oko|5|-1|31 35 322 132.476486 34.241821 44996|Hiroshima| |Japan|Etajima|6|-1|14 35 322 132.477478 34.279728 44997|Hiroshima| |Japan|Kirikushi|6|-1|14 35 322 132.480698 34.277142 45000|Hiroshima| |Japan|Koyo|5|-1|14 43 322 132.483333 33.733333 45001|Ehime| |Japan|Aoshima|6|-1|43 50 322 132.486099 33.276482 45003|Ehime|Shikoku|Japan|Nakaura|5|-1|48 38 322 132.486893 34.094612 45006|Hiroshima| |Japan|Sugewa|6|-1|31 55 323 132.504924 32.941533 45008|Ehime|Shikoku|Japan|Funakoshi|5|-1|76 55 323 132.5121 32.906891 45015|Ehime|Shikoku|Japan|Fukura|5|-1|76 36 323 132.529999 34.187424 45021|Hiroshima| |Japan|Ondo|6|-1|6 36 323 132.532806 34.184299 45024|Hiroshima| |Japan|Takasu|5|-1|6 55 323 132.532898 32.951279 45025|Ehime|Shikoku|Japan|Johen|5|-1|76 38 323 132.540802 34.098179 45029|Hiroshima| |Japan|Muroo|5|-1|45 36 323 132.548431 34.180008 45031|Hiroshima| |Japan|Hatami|6|-1|6 38 323 132.550415 34.086674 45032|Hiroshima| |Japan|Kaigoshi|6|-1|45 38 323 132.550537 34.072105 45034|Hiroshima| |Japan|Karoto|6|-1|45 58 323 132.558594 32.70982 45036|Kochi|Okino-shima|Japan|Hirose|5|-1|117 37 324 132.571915 34.11771 45041|Hiroshima| |Japan|Osako|6|-1|31 55 324 132.5746 32.948971 45044|Ehime|Shikoku|Japan|Zyohen|5|-1|59 40 324 132.623703 33.96315 45051|Ehime| |Japan|Obama|5|-1|69 36 324 132.624802 34.2313 45052|Hiroshima|Honshu|Japan|Hiromachi|3|-1|59 39 325 132.636703 33.988201 45055|Ehime| |Japan|Hatari|5|-1|67 57 325 132.640198 32.772949 45056|Kochi|Shikoku|Japan|Kashiwajima|5|-1|81 40 325 132.659698 33.95438 45063|Ehime| |Japan|Mutsuki|5|-1|28 36 325 132.664368 34.189007 45064|Hiroshima| |Japan|Shimojima|6|-1|14 36 325 132.664551 34.178543 45065|Hiroshima| |Japan|Ojizo|6|-1|14 57 325 132.677002 32.790611 45069|Kochi|Shikoku|Japan|Komame|5|-1|81 36 325 132.696304 34.184841 45082|Hiroshima| |Japan|Sannose|5|-1|14 36 325 132.698196 34.233181 45083|Hiroshima|Honshu|Japan|Osaki-kami-jima|4|-1|14 35 326 132.715637 34.277855 45086|Hiroshima|Honshu|Japan|Harahata|6|-1|43 35 326 132.723297 34.250072 45088|Hiroshima|Honshu|Japan|Koyo|6|-1|43 35 326 132.740997 34.282276 45094|Hiroshima|Honshu|Japan|Hiraki|6|-1|43 35 326 132.743775 34.2892 45096|Hiroshima|Honshu|Japan|Uchinoumi|6|-1|43 35 326 132.7556 34.2827 45101|Hiroshima|Honshu|Japan|Mitsuguchi|5|-1|43 58 327 132.785202 32.757252 45111|Kochi|Shikoku|Japan|Ko-saitsuno|5|-1|107 37 328 132.838486 34.164078 45129|Hiroshima| |Japan|Okitomo|6|-1|14 36 328 132.851776 34.182407 45131|Hiroshima| |Japan|Ocho|6|-1|80 36 328 132.853104 34.227009 45132|Hiroshima| |Japan|Okushi|5|-1|80 36 328 132.854706 34.182678 45133|Hiroshima| |Japan|Daicho|5|-1|80 36 328 132.866699 34.177948 45137|Hiroshima| |Japan|Mitarai|6|-1|80 57 328 132.867599 32.785591 45138|Kochi|Shikoku|Japan|Simo-Kawaguti|5|-1|31 34 328 132.873078 34.320583 45139|Hiroshima|Honshu|Japan|Hama|6|-1|33 36 328 132.875946 34.210484 45141|Hiroshima| |Japan|Akashi|6|-1|80 34 328 132.880432 34.358761 45142|Hiroshima|Honshu|Japan|Sukune|6|-1|33 36 329 132.903915 34.216873 45148|Hiroshima| |Japan|Okiura|6|-1|41 34 329 132.911804 34.342819 45150|Hiroshima|Honshu|Japan|Takehara|5|30027|28 36 329 132.912704 34.231289 45151|Hiroshima| |Japan|Kinoe|4|-1|41 35 329 132.920342 34.265432 45153|Hiroshima| |Japan|Shiramizu|5|-1|20 34 329 132.93251 34.334904 45155|Hiroshima|Honshu|Japan|Takasakicho|6|-1|28 34 329 132.946106 34.34058 45160|Hiroshima|Honshu|Japan|Takasaki|5|-1|28 36 329 132.955704 34.199261 45164|Hiroshima| |Japan|Munagata|4|-1|41 8 329 132.956009 36.067371 45165|Shimane|Nishino-shima|Japan|Mitabe|6|-1|91 34 329 132.95607 34.344791 45166|Hiroshima|Honshu|Japan|Fukuda|6|-1|28 8 329 132.959198 36.060699 45167|Shimane|Nishino-shima|Japan|Dozen|4|-1|91 36 329 132.961777 34.216461 45170|Hiroshima| |Japan|Kuchisubo|6|-1|41 8 330 132.983627 36.065067 45174|Shimane|Nishino-shima|Japan|Chinzaki|6|-1|40 55 330 132.986694 32.94228 45176|Kochi|Shikoku|Japan|Shimoda|5|-1|49 34 330 132.990799 34.33633 45177|Hiroshima|Honshu|Japan|Tadanoumi|5|-1|35 8 330 132.992386 36.094021 45178|Shimane|Nishino-shima|Japan|Urago|6|-1|40 58 330 133.007706 32.724411 45184|Kochi|Shikoku|Japan|Isa|5|-1|90 54 330 133.008102 33.01825 45185|Kochi|Shikoku|Japan|Irino|5|-1|37 8 330 133.011307 36.099609 45187|Shimane|Nishino-shima|Japan|Funakoshi|5|-1|40 8 330 133.013855 36.076252 45188|Shimane|Nishino-shima|Japan|Hashi|6|-1|40 37 330 133.021652 34.135685 45191|Hiroshima|O-shima|Japan|Mukuna|6|-1|30 9 330 133.025406 36.02018 45195|Shimane|Chiburi-jima|Japan|Urumi|5|-1|72 9 330 133.029999 36.00882 45198|Shimane|Chiburi-jima|Japan|Niburi|6|-1|72 34 330 133.030746 34.339409 45199|Hiroshima|Honshu|Japan|Noji|6|-1|35 39 331 133.034241 34.014305 45200|Ehime|Shikoku|Japan|Go-Sakurai|6|-1|5 39 331 133.034302 34.017799 45201|Ehime|Shikoku|Japan|Hama-sakurai|5|-1|5 33 331 133.034485 34.381435 45202|Hiroshima|Honshu|Japan|Ryomei|6|-1|16 37 331 133.036804 34.11639 45204|Hiroshima|O-shima|Japan|Minamiura|5|-1|21 9 331 133.041 36.015327 45207|Shimane|Chiburi-jima|Japan|Kori|6|-1|74 37 331 133.042923 34.147114 45208|Hiroshima|O-shima|Japan|Saiwaishinden|6|-1|21 8 331 133.043701 36.093082 45209|Shimane|Nishino-shima|Japan|Oyama|6|-1|59 9 331 133.053223 36.008186 45214|Shimane|Chiburi-jima|Japan|Usuge|6|-1|74 33 331 133.057373 34.402508 45217|Hiroshima|Honshu|Japan|Nishinocho|6|-1|16 33 331 133.066986 34.383499 45222|Hiroshima|Honshu|Japan|Wadacho|6|-1|16 53 331 133.075302 33.035431 45226|Kochi|Shikoku|Japan|Nada|5|-1|20 37 331 133.076798 34.150269 45228|Hiroshima|O-shima|Japan|Tomoura|6|-1|21 8 331 133.077209 36.089832 45229|Shimane|Nakano-shima|Japan|Fukui|6|-1|59 8 331 133.077255 36.046684 45230|Shimane|Nakano-shima|Japan|Aoya|6|-1|59 8 331 133.078445 36.08337 45231|Shimane|Nakano-shima|Japan|Hinozu|6|-1|59 33 331 133.081207 34.369457 45232|Hiroshima|Honshu|Japan|Sunamicho|6|-1|16 33 331 133.083206 34.3922 45233|Hiroshima|Honshu|Japan|Mihara|3|79492|16 8 331 133.084503 36.050961 45237|Shimane|Nakano-shima|Japan|Saki|5|-1|59 8 331 133.093399 36.071476 45240|Shimane|Nakano-shima|Japan|Minami|6|-1|59 8 331 133.09433 36.058323 45242|Shimane|Nakano-shima|Japan|Oi|6|-1|59 15 332 133.102997 35.5746 45245|Shimane|Honshu|Japan|Nonami|4|-1|13 53 332 133.104904 33.077709 45247|Kochi|Shikoku|Japan|Saga|5|-1|88 36 332 133.108704 34.206421 45251|Hiroshima| |Japan|Kinoura|5|-1|20 8 332 133.110657 36.07711 45253|Shimane|Nakano-shima|Japan|Chichii|6|-1|92 8 332 133.113251 36.084721 45255|Shimane|Nakano-shima|Japan|Hobomi|6|-1|92 34 333 133.167206 34.31459 45270|Hiroshima| |Japan|Nakanosho|5|-1|11 34 333 133.171677 34.342941 45272|Hiroshima| |Japan|Ohamacho|6|-1|11 35 333 133.176559 34.293617 45273|Hiroshima| |Japan|Innoshima|6|25678|32 51 333 133.195908 33.168098 45283|Kochi|Shikoku|Japan|Yotsunoura|5|-1|67 16 334 133.241577 35.522713 45304|Tottori|Honshu|Japan|Takenouchicho|6|-1|15 16 334 133.242996 35.531479 45305|Tottori|Honshu|Japan|Sakai-Minato|4|-1|15 34 334 133.276642 34.350342 45327|Hiroshima| |Japan|Boji|6|-1|13 48 334 133.286896 33.384861 45332|Kochi|Shikoku|Japan|Susaki|4|25726|10 34 334 133.2966 34.354729 45338|Hiroshima| |Japan|Machi|5|-1|13 6 335 133.300263 36.233212 45339|Shimane|Dogo|Japan|Harada|6|-1|120 16 335 133.301804 35.564548 45341|Shimane|Honshu|Japan|Mihonoseki|4|-1|21 6 335 133.301971 36.226704 45342|Shimane|Dogo|Japan|Ikeda|6|-1|120 4 335 133.304977 36.317055 45343|Shimane|Dogo|Japan|Nakamura|6|-1|47 6 335 133.30571 36.201237 45344|Shimane|Dogo|Japan|Nishida|6|-1|120 16 335 133.309311 35.563854 45346|Shimane|Honshu|Japan|Mihonseki|6|-1|21 6 335 133.309311 36.178081 45347|Shimane|Dogo|Japan|Minoura|6|-1|120 4 335 133.317917 36.307503 45351|Shimane|Dogo|Japan|Gonya|6|-1|47 6 335 133.323318 36.192425 45355|Shimane|Dogo|Japan|Misaki|6|-1|120 6 335 133.323791 36.223782 45356|Shimane|Dogo|Japan|Araki|6|-1|120 6 335 133.333176 36.202316 45359|Shimane|Dogo|Japan|Takei|6|-1|120 6 335 133.335739 36.20686 45360|Shimane|Dogo|Japan|Sei|6|-1|120 4 335 133.335922 36.305256 45361|Shimane|Dogo|Japan|Iibi|6|-1|47 6 335 133.341049 36.226044 45364|Shimane|Dogo|Japan|Togo|6|-1|120 6 335 133.351532 36.223312 45365|Shimane|Dogo|Japan|Iida|6|-1|120 6 335 133.363297 36.213249 45373|Shimane|Dogo|Japan|Saigo|4|-1|120 6 336 133.369125 36.21841 45375|Shimane|Dogo|Japan|Inugu|6|-1|152 6 336 133.371216 36.233116 45376|Shimane|Dogo|Japan|Kama|6|-1|152 5 336 133.371506 36.248875 45377|Shimane|Dogo|Japan|Oku|6|-1|139 33 336 133.38887 34.424309 45382|Hiroshima|Honshu|Japan|Tajiri|6|-1|18 47 337 133.436096 33.453678 45390|Kochi|Shikoku|Japan|Usa|5|-1|31 47 337 133.441742 33.450737 45392|Kochi|Shikoku|Japan|Usacho|6|-1|31 33 338 133.536407 34.37801 45411|Okayama| |Japan|Choba|5|-1|17 46 340 133.656693 33.534698 45441|Kochi|Shikoku|Japan|Maehama|5|-1|26 46 341 133.719299 33.538979 45459|Kochi|Shikoku|Japan|Akaoka|5|-1|21 46 341 133.748001 33.53381 45464|Kochi|Shikoku|Japan|Yasu|5|-1|21 32 342 133.800598 34.441551 45475|Okayama|Honshu|Japan|Simotui|5|-1|19 32 342 133.822998 34.467529 45478|Okayama|Honshu|Japan|Ajino|3|-1|19 32 344 133.938004 34.480091 45506|Okayama|Honshu|Japan|Uno|3|-1|23 32 344 133.947495 34.497551 45509|Okayama|Honshu|Japan|Tamano|4|67055|23 31 345 134.0056 34.55455 45519|Okayama|Honshu|Japan|Muneage|5|-1|19 30 345 134.026993 34.59066 45523|Okayama|Honshu|Japan|Kogushi|5|-1|2 49 346 134.059601 33.360069 45532|Kochi|Shikoku|Japan|Kiragawa|5|-1|18 32 346 134.071396 34.467369 45533|Kagawa| |Japan|Ienoura|5|-1|32 30 346 134.081497 34.588329 45539|Okayama|Honshu|Japan|Kugui|5|-1|11 33 347 134.128006 34.38567 45557|Kagawa|Shikoku|Japan|Hama|5|-1|2 30 347 134.133698 34.618961 45559|Okayama|Honshu|Japan|Oki|5|-1|16 445 347 134.135605 6.905582 45562| | |Palau|Angaur|5|-1|271 50 347 134.148066 33.285983 45566|Kochi|Shikoku|Japan|Ukitsu|5|-1|30 30 347 134.164795 34.620159 45572|Okayama|Honshu|Japan|Ushimado|5|-1|16 50 347 134.1651 33.265842 45573|Kochi|Shikoku|Japan|Tsuro|6|-1|30 50 348 134.169693 33.26482 45576|Kochi|Shikoku|Japan|Muroto|5|17579|706 29 348 134.186005 34.664951 45584|Okayama|Honshu|Japan|Sirimi|5|-1|8 48 348 134.202896 33.390781 45589|Kochi|Shikoku|Japan|Sakinohama|4|-1|241 444 348 134.232697 6.98541 45606|Palau| |Palau|Attalabul|5|-1|66 34 349 134.253098 34.31908 45611|Kagawa|Shikoku|Japan|Yoshimi|5|-1|14 444 349 134.261597 7.032319 45613|Palau| |Palau|Ngalkol|5|-1|1530 46 349 134.262207 33.502022 45614|Kochi|Shikoku|Japan|None|4|-1|63 28 349 134.263107 34.727089 45615|Okayama|Honshu|Japan|Hinase|5|-1|2 46 349 134.299103 33.563492 45625|Tokushima|Shikoku|Japan|Shishikui|5|-1|63 32 350 134.326164 34.46843 45632|Kagawa| |Japan|Uchinomi|3|-1|42 31 350 134.332794 34.540939 45638|Kagawa| |Japan|Fukuda|5|-1|27 45 350 134.349899 33.60088 45643|Tokushima|Shikoku|Japan|Iimochi|5|-1|71 28 351 134.392395 34.746929 45653|Hyogo|Honshu|Japan|Ako|3|52394|13 439 352 134.484604 7.343782 45669|Palau| |Palau|Koror|3|11258|10 43 353 134.533707 33.732738 45678|Tokushima|Shikoku|Japan|Hiwasa|4|-1|71 29 353 134.535294 34.664371 45679|Hyogo|E-jima|Japan|Maura|5|-1|35 38 354 134.573105 34.046539 45684|Tokushima|Shikoku|Japan|Tsudacho|5|-1|19 42 354 134.588806 33.76997 45688|Tokushima|Shikoku|Japan|Yuki|5|-1|44 38 354 134.589401 34.090931 45689|Tokushima|Shikoku|Japan|Kagasuno|5|-1|19 438 354 134.591095 7.377718 45691| | |Palau|Goikul|5|-1|105 437 354 134.605804 7.459449 45697|Palau| |Palau|Galakasan|5|-1|2 42 355 134.637207 33.78791 45708|Tokushima|Shikoku|Japan|Abe|5|-1|75 436 355 134.638011 7.504456 45710| | |Palau|Ulubosan|5|-1|2255 434 355 134.643402 7.635562 45711|Palau| |Palau|Galap|5|-1|1481 40 355 134.651398 33.91711 45712|Tokushima|Shikoku|Japan|Tomikacho|5|-1|10 27 355 134.658997 34.792431 45715|Hyogo|Honshu|Japan|Takasago|3|93903|5 35 355 134.666595 34.270939 45718|Hyogo|Awaji-shima|Japan|Nantan|5|-1|7 40 355 134.667496 33.94186 45721|Tokushima|Shikoku|Japan|Nakashima|4|-1|10 40 355 134.681503 33.922981 45728|Tokushima|Shikoku|Japan|Anan|4|55248|10 36 356 134.733994 34.219929 45743|Hyogo|Awaji-shima|Japan|Honjo|5|-1|44 36 358 134.85 34.233333 45776|Hyogo|Awaji-shima|Japan|Shirasaki|6|-1|63 29 359 134.912094 34.677662 45795|Hyogo|Honshu|Japan|Eigashima|5|-1|31 35 359 134.940704 34.28582 45805|Hyogo|Awaji-shima|Japan|Yura|5|-1|62 29 359 134.945404 34.687408 45807|Hyogo|Honshu|Japan|Okubo|5|-1|31 31 360 134.983597 34.52079 45816|Hyogo|Awaji-shima|Japan|Kariya|5|-1|61 30 360 135.017014 34.58976 45821|Hyogo|Awaji-shima|Japan|Iwaya|6|-1|60 41 361 135.077698 33.897869 45829|Wakayama|Honshu|Japan|Mio|5|-1|41 38 361 135.099786 34.072144 45835|Wakayama|Honshu|Japan|Tatsugahama|5|-1|27 41 362 135.143906 33.891842 45843|Wakayama|Honshu|Japan|Gobo|4|27030|2 36 362 135.166107 34.221981 45854|Wakayama|Honshu|Japan|Wakayama|2|372760|5 29 363 135.175479 34.677484 45860|Hyogo|Honshu|Japan|Kobe|2|1502246|15 42 363 135.217606 33.81028 45881|Wakayama|Honshu|Japan|Inami|4|-1|28 13 364 135.236877 35.711273 45886|Kyoto|Honshu|Japan|Honzaka|6|-1|28 13 364 135.239655 35.745567 45887|Kyoto|Honshu|Japan|Kamanyu|6|-1|28 14 364 135.242096 35.682056 45888|Kyoto|Honshu|Japan|Atsugaki|6|-1|60 14 364 135.244278 35.673775 45889|Kyoto|Honshu|Japan|Onishi|6|-1|60 15 364 135.245056 35.624443 45890|Kyoto|Honshu|Japan|Sato-Hami|6|-1|46 14 364 135.248962 35.696728 45892|Kyoto|Honshu|Japan|Sugano|6|-1|60 13 364 135.250793 35.704598 45894|Kyoto|Honshu|Japan|Takine|6|-1|28 13 364 135.252334 35.720669 45896|Kyoto|Honshu|Japan|Honjo-Age|6|-1|28 14 364 135.252655 35.654186 45897|Kyoto|Honshu|Japan|Nagae|6|-1|60 14 364 135.256104 35.65287 45898|Kyoto|Honshu|Japan|Iwagahana|5|-1|60 13 364 135.257477 35.73111 45900|Kyoto|Honshu|Japan|Honjo-Uji|6|-1|28 14 364 135.266861 35.66851 45902|Kyoto|Honshu|Japan|Oshima|6|-1|60 13 364 135.272552 35.730358 45904|Kyoto|Honshu|Japan|Honjo-Hama|6|-1|28 13 364 135.282532 35.704933 45910|Kyoto|Honshu|Japan|Rokumambu|6|-1|28 13 364 135.286392 35.713665 45912|Kyoto|Honshu|Japan|Tsumo|6|-1|28 14 364 135.28656 35.676495 45913|Kyoto|Honshu|Japan|Hirata|6|-1|60 14 364 135.292785 35.675896 45915|Kyoto|Honshu|Japan|Oura|6|-1|60 14 364 135.296387 35.68314 45917|Kyoto|Honshu|Japan|Kamiji|6|-1|60 14 365 135.304123 35.696358 45919|Kyoto|Honshu|Japan|Nii|6|-1|68 44 365 135.359802 33.681221 45933|Wakayama|Honshu|Japan|Yunosaki|5|-1|18 46 367 135.437897 33.564308 45955|Wakayama|Honshu|Japan|Hiki|4|-1|107 15 367 135.442001 35.576221 45959|Kyoto|Honshu|Japan|Tai|5|-1|58 15 367 135.448258 35.577145 45962|Kyoto|Honshu|Japan|Naryu|6|-1|58 46 367 135.491196 33.54784 45978|Wakayama|Honshu|Japan|Susami|5|-1|107 16 368 135.503616 35.504124 45982|Fukui|Honshu|Japan|Nabae|6|-1|15 16 368 135.507233 35.510136 45983|Fukui|Honshu|Japan|Ogurui|6|-1|15 16 368 135.511154 35.538341 45984|Fukui|Honshu|Japan|Otomi|6|-1|15 16 370 135.640061 35.525421 46011|Fukui|Honshu|Japan|Nishimura|6|-1|17 16 370 135.657135 35.532379 46016|Fukui|Honshu|Japan|Miyadome|6|-1|17 47 371 135.705505 33.49313 46028|Wakayama|Honshu|Japan|Tanami|5|-1|34 47 372 135.790298 33.46669 46057|Wakayama|Honshu|Japan|Kushimoto|3|-1|123 45 374 135.909698 33.569981 46092|Wakayama|Honshu|Japan|Takashiba|5|-1|86 45 374 135.937805 33.580551 46102|Wakayama|Honshu|Japan|Koza|5|-1|86 45 374 135.941232 33.630247 46107|Wakayama|Honshu|Japan|Katsuura|5|-1|86 44 375 135.984802 33.691681 46125|Wakayama|Honshu|Japan|Nishihera|5|-1|204 11 375 135.999573 35.893459 46129|Fukui|Honshu|Japan|Sengodani|6|-1|50 43 375 136.001099 33.721859 46132|Wakayama|Honshu|Japan|Shingu|3|31093|38 11 375 136.006271 35.888439 46135|Fukui|Honshu|Japan|Komeno|6|-1|50 42 376 136.039597 33.796669 46152|Mie|Honshu|Japan|Atawa|4|-1|98 41 376 136.086105 33.878521 46174|Mie|Honshu|Japan|Atashika|4|-1|43 41 377 136.103394 33.899101 46184|Mie|Honshu|Japan|Kinomoto|5|-1|155 40 377 136.135696 33.937119 46196|Mie|Honshu|Japan|Kumano|5|19187|55 39 379 136.258408 34.024101 46226|Mie|Honshu|Japan|Kuki|5|-1|168 36 380 136.328094 34.203072 46238|Mie|Honshu|Japan|Kii-Nagashima|5|-1|33 36 381 136.4077 34.226669 46250|Mie|Honshu|Japan|Nishiki|5|-1|108 35 383 136.500198 34.265388 46266|Mie|Honshu|Japan|Kamisaki|5|-1|78 28 383 136.509903 34.76228 46267|Mie|Honshu|Japan|Shiratsuka|5|-1|17 28 383 136.5168 34.719109 46268|Mie|Honshu|Japan|Tsu|2|161933|17 29 383 136.539993 34.659481 46276|Mie|Honshu|Japan|Karasu|5|-1|12 27 383 136.543198 34.790649 46278|Mie|Honshu|Japan|Ueno|5|-1|13 26 384 136.598328 34.843578 46291|Mie|Honshu|Japan|Shiroko|6|-1|10 26 384 136.623993 34.873852 46296|Mie|Honshu|Japan|Suzuka|3|189059|10 24 385 136.634903 35.0116 46300|Mie|Honshu|Japan|Itsuki|6|-1|16 35 387 136.793747 34.25975 46367|Mie|Honshu|Japan|Wagu|6|-1|7 35 387 136.806702 34.25716 46374|Mie|Honshu|Japan|Koshiga|5|-1|7 35 388 136.868896 34.273289 46397|Mie|Honshu|Japan|Hunakosi|5|-1|85 28 388 136.869263 34.741035 46398|Aichi|Honshu|Japan|Utsumi|6|-1|30 34 388 136.881424 34.320129 46405|Mie|Honshu|Japan|Koga|6|-1|22 35 388 136.8909 34.285919 46410|Mie|Honshu|Japan|Daio|5|-1|85 35 388 136.895264 34.27911 46413|Mie|Honshu|Japan|Nakiri|6|-1|85 33 389 136.901703 34.401279 46417|Mie|Honshu|Japan|Osasu|5|-1|37 27 389 136.912994 34.776199 46422|Aichi|Honshu|Japan|Ko Kowa|5|-1|14 27 389 136.9207 34.810322 46426|Aichi|Honshu|Japan|Futo|5|-1|14 30 391 137.047501 34.585491 46475|Aichi|Honshu|Japan|Irago|5|-1|15 30 392 137.1035 34.61977 46492|Aichi|Honshu|Japan|Hukue|5|-1|20 27 393 137.185303 34.802151 46505|Aichi|Honshu|Japan|Katahara|5|-1|7 30 393 137.205597 34.61491 46511|Aichi|Honshu|Japan|Akabane|5|-1|24 27 393 137.232605 34.82568 46517|Aichi|Honshu|Japan|Gamagori|4|85783|7 29 395 137.348404 34.660221 46549|Aichi|Honshu|Japan|Oitsu|5|-1|14 29 398 137.5065 34.68486 46578|Shizuoka|Honshu|Japan|Shirasuka|5|-1|40 29 398 137.563797 34.690399 46593|Shizuoka|Honshu|Japan|Arai|3|-1|40 29 399 137.611053 34.680843 46599|Shizuoka|Honshu|Japan|Maisaka|6|-1|45 29 400 137.675766 34.687645 46606|Shizuoka|Honshu|Japan|Takatsuka|6|-1|33 29 402 137.803162 34.673512 46628|Shizuoka|Honshu|Japan|Kaketsuka|6|-1|28 29 403 137.885193 34.680241 46637|Shizuoka|Honshu|Japan|Iwata|4|88045|52 29 403 137.891693 34.677959 46638|Shizuoka|Honshu|Japan|Fukude|6|-1|52 29 405 137.988007 34.680241 46654|Shizuoka|Honshu|Japan|Yokosuka|5|-1|19 29 405 138.000336 34.676075 46656|Shizuoka|Honshu|Japan|Utari|6|-1|19 29 405 138.031586 34.668495 46663|Shizuoka|Honshu|Japan|Hoji|6|-1|19 406 407 138.119995 9.523782 46681|Micronesia|Yap Island|Micronesia|Colonia|5|2073|66 30 408 138.171493 34.616062 46690|Shizuoka|Honshu|Japan|Shirawa|6|-1|30 30 408 138.19928 34.622288 46695|Shizuoka|Honshu|Japan|Shirahama|6|-1|30 30 408 138.205932 34.61047 46696|Shizuoka|Honshu|Japan|Shitamisaki|6|-1|30 28 408 138.217896 34.731918 46697|Shizuoka|Honshu|Japan|Katsumata|6|-1|14 30 408 138.218002 34.60511 46698|Shizuoka|Honshu|Japan|Sagara|5|25472|30 30 408 138.225204 34.599895 46705|Shizuoka|Honshu|Japan|Omae Zaki|6|-1|30 28 408 138.232178 34.739437 46708|Shizuoka|Honshu|Japan|Kawasaki|6|-1|14 27 409 138.236069 34.77499 46713|Shizuoka|Honshu|Japan|Saitana|6|-1|9 27 409 138.252838 34.772358 46721|Shizuoka|Honshu|Japan|Kami Yoshida|6|-1|9 28 409 138.261765 34.754086 46725|Shizuoka|Honshu|Japan|Sumiyoshi|6|-1|196 27 409 138.279022 34.810142 46730|Shizuoka|Honshu|Japan|Aikawa|6|-1|9 27 409 138.282776 34.787415 46732|Shizuoka|Honshu|Japan|Tenno|6|-1|9 26 410 138.305511 34.894321 46743|Shizuoka|Honshu|Japan|Yokouchi|6|-1|363 27 410 138.318497 34.807789 46748|Shizuoka|Honshu|Japan|Shimo Kosugi|6|-1|439 27 410 138.319107 34.824966 46750|Shizuoka|Honshu|Japan|Tajiri|6|-1|439 26 410 138.324402 34.865669 46754|Shizuoka|Honshu|Japan|Yaizu|3|119784|363 25 410 138.331055 34.907925 46760|Shizuoka|Honshu|Japan|Osaka|6|-1|18 25 410 138.348557 34.928097 46771|Shizuoka|Honshu|Japan|Owada|6|-1|18 25 410 138.352829 34.941395 46775|Shizuoka|Honshu|Japan|Osada|6|-1|18 25 411 138.39502 34.956234 46786|Shizuoka|Honshu|Japan|Ishide|6|-1|63 25 412 138.467484 34.963345 46815|Shizuoka|Honshu|Japan|Furuyado|6|-1|233 24 412 138.4944 35.017601 46838|Shizuoka|Honshu|Japan|Shimizu|5|29026|3 24 413 138.507034 34.979675 46847|Shizuoka|Honshu|Japan|Komagoe|6|-1|573 23 413 138.516815 35.058411 46855|Shizuoka|Honshu|Japan|Okitsu|6|-1|741 24 413 138.522019 34.99741 46860|Shizuoka|Honshu|Japan|Miyakata|6|-1|573 22 414 138.617172 35.119461 46887|Shizuoka|Honshu|Japan|Kambara|6|-1|194 22 416 138.738007 35.158901 46904|Shizuoka|Honshu|Japan|Yoshiwara|3|-1|618 22 416 138.749191 35.15794 46906|Shizuoka|Honshu|Japan|Enno|6|-1|618 29 416 138.764831 34.69099 46912|Shizuoka|Honshu|Japan|Ihama|6|-1|48 22 416 138.765793 35.151703 46913|Shizuoka|Honshu|Japan|Ukishime|6|-1|618 30 417 138.810074 34.62978 46943|Shizuoka|Honshu|Japan|Iruma|6|-1|98 30 417 138.825104 34.617336 46951|Shizuoka|Honshu|Japan|Nakagi|6|-1|98 30 418 138.833816 34.614571 46957|Shizuoka|Honshu|Japan|Irozaki|6|-1|65 30 418 138.857712 34.616787 46970|Shizuoka|Honshu|Japan|Ose|6|-1|65 30 418 138.877365 34.625343 46974|Shizuoka|Honshu|Japan|Shitaru|6|-1|65 29 419 138.902145 34.677628 46984|Shizuoka|Honshu|Japan|Katsura|6|-1|51 29 419 138.911941 34.641686 46987|Shizuoka|Honshu|Japan|Toji|6|-1|51 29 419 138.925278 34.661461 46989|Shizuoka|Honshu|Japan|Kaisami|6|-1|51 29 419 138.940704 34.673229 46996|Shizuoka|Honshu|Japan|Shimoda|5|26184|51 29 419 138.943695 34.698738 46997|Shizuoka|Honshu|Japan|Kochi|6|-1|51 29 420 138.966858 34.657986 47003|Shizuoka|Honshu|Japan|Suzaki|6|-1|283 28 420 138.977219 34.724289 47005|Shizuoka|Honshu|Japan|Nawaji|6|-1|192 28 420 138.980377 34.763504 47006|Shizuoka|Honshu|Japan|Sawada|6|-1|192 28 420 138.986389 34.756611 47008|Shizuoka|Honshu|Japan|Tanaka|6|-1|192 28 420 138.989685 34.745361 47009|Shizuoka|Honshu|Japan|Yatsu|6|-1|192 27 421 139.040436 34.808056 47015|Shizuoka|Honshu|Japan|Yugaoka|6|-1|484 27 421 139.050507 34.774872 47016|Shizuoka|Honshu|Japan|Inatori|5|-1|484 27 421 139.059723 34.803265 47018|Shizuoka|Honshu|Japan|Shirade|6|-1|484 27 421 139.063706 34.820114 47020|Shizuoka|Honshu|Japan|Naramoto|6|-1|484 23 421 139.068695 35.046005 47021|Shizuoka|Honshu|Japan|Nakano|6|-1|32 26 421 139.071549 34.84322 47022|Shizuoka|Honshu|Japan|Okawa|6|-1|403 27 421 139.075028 34.830128 47023|Shizuoka|Honshu|Japan|Hokkawa|6|-1|484 23 421 139.076294 35.09359 47025|Shizuoka|Honshu|Japan|Atami|3|40476|32 22 421 139.076401 35.144272 47026|Shizuoka|Honshu|Japan|Yugawara|5|27214|156 26 421 139.087448 34.893173 47029|Shizuoka|Honshu|Japan|Ike|6|-1|403 22 421 139.089081 35.14283 47031|Kanagawa|Honshu|Japan|Miyakami|6|-1|156 23 421 139.094193 35.04425 47033|Shizuoka|Honshu|Japan|Ajiro|5|-1|32 26 422 139.101257 34.869785 47035|Shizuoka|Honshu|Japan|Yahatano|6|-1|879 25 422 139.102173 34.90382 47036|Shizuoka|Honshu|Japan|Sakibara|6|-1|361 25 422 139.104981 34.915264 47037|Shizuoka|Honshu|Japan|Totari|6|-1|361 24 422 139.1064 34.97086 47038|Shizuoka|Honshu|Japan|Ito|3|71758|382 22 422 139.107223 35.152286 47039|Kanagawa|Honshu|Japan|Mongawa|6|-1|421 25 422 139.111649 34.95475 47040|Shizuoka|Honshu|Japan|Sakaagawa|6|-1|361 25 422 139.113846 34.942989 47041|Shizuoka|Honshu|Japan|Joboshi|6|-1|361 20 422 139.119537 35.243362 47043|Kanagawa|Honshu|Japan|Yumoto|6|-1|257 21 422 139.122482 35.231426 47045|Kanagawa|Honshu|Japan|Shimmeicho|6|-1|325 20 422 139.125626 35.247559 47046|Kanagawa|Honshu|Japan|Iryuda|6|-1|257 25 422 139.126312 34.914639 47047|Shizuoka|Honshu|Japan|Matsuo|6|-1|361 20 422 139.129623 35.252537 47048|Kanagawa|Honshu|Japan|Kazamatsui|6|-1|257 26 422 139.130814 34.894775 47050|Shizuoka|Honshu|Japan|Harai|6|-1|879 22 422 139.133896 35.15416 Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 527, 485 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif [1/1] : 0Using internal nodata values (e.g. -200) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif [1/1] : 0Using internal nodata values (e.g. -3.40282e+38) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. 47052|Kanagawa|Honshu|Japan|Manazuru|5|-1|421 25 422 139.135346 34.906105 47053|Shizuoka|Honshu|Japan|Futo|6|-1|361 25 422 139.137207 34.94532 47054|Shizuoka|Honshu|Japan|Kawana|5|-1|361 36 422 139.142197 34.208241 47056|Shizuoka|Zeni-su|Japan|Kozushima|5|-1|132 20 423 139.167892 35.251431 47058|Kanagawa|Honshu|Japan|Odawara|3|199098|751 20 423 139.179306 35.290363 47060|Kanagawa|Honshu|Japan|Naruda|6|-1|751 20 423 139.199738 35.293892 47065|Kanagawa|Honshu|Japan|Tliara|6|-1|751 20 423 139.212006 35.277721 47069|Kanagawa|Honshu|Japan|Kozu|5|-1|751 34 423 139.21901 34.327061 47073|Shizuoka|Shikine-jima|Japan|Shikineshima|6|-1|54 20 424 139.261703 35.294331 47082|Kanagawa|Honshu|Japan|Ninomiya|5|31239|859 33 424 139.262604 34.37011 47083|Shizuoka|Nii-jima|Japan|Motomura|5|-1|62 31 424 139.283333 34.516667 47086|Shizuoka|To-shima|Japan|Toshima|6|-1|210 33 424 139.289993 34.41766 47088|Shizuoka|Nii-jima|Japan|Wakago|5|-1|62 19 425 139.305206 35.311855 47091|Kanagawa|Honshu|Japan|Oiso|6|-1|49 19 425 139.336563 35.338402 47096|Kanagawa|Honshu|Japan|Yawato|6|-1|49 19 425 139.356094 35.32856 47100|Kanagawa|Honshu|Japan|Hiratsuka|3|255085|49 29 426 139.386902 34.693745 47111|Shizuoka| |Japan|Mabushi|6|-1|487 19 426 139.388901 35.355968 47113|Kanagawa|Honshu|Japan|Chigasaki|3|231236|18 29 426 139.413406 34.680908 47120|Shizuoka| |Japan|Sashikiji|6|-1|487 29 426 139.414688 34.682663 47121|Shizuoka| |Japan|Kudatchi|6|-1|487 19 426 139.42804 35.342293 47128|Kanagawa|Honshu|Japan|Takata|6|-1|18 29 427 139.4422 34.689861 47134|Shizuoka| |Japan|Habuminato|5|-1|842 38 427 139.488998 34.08276 47151|Shizuoka|Miyake-jima|Japan|Ako|4|-1|110 38 427 139.489471 34.056072 47153|Shizuoka|Miyake-jima|Japan|Higashiyama|6|-1|110 37 428 139.516205 34.112591 47157|Shizuoka|Miyake-jima|Japan|Okubo|5|-1|32 37 428 139.53334 34.12207 47161|Shizuoka|Miyake-jima|Japan|Kamitsuki|6|-1|32 38 428 139.544189 34.06028 47165|Shizuoka|Miyake-jima|Japan|Tsubota|6|-1|343 37 428 139.548203 34.111874 47167|Shizuoka|Miyake-jima|Japan|Gebano|6|-1|32 38 428 139.560913 34.084572 47174|Shizuoka|Miyake-jima|Japan|Mlike|6|-1|343 41 429 139.595121 33.892868 47179|Shizuoka|Mikura-jima|Japan|Sato|5|-1|557 22 429 139.61911 35.142458 47183|Kanagawa|Honshu|Japan|Misaki|4|-1|90 41 429 139.626907 33.866333 47185|Shizuoka|Mikura-jima|Japan|Nango|6|-1|557 62 431 139.764206 32.468109 47207|Shizuoka|Aoga-shima|Japan|Aogashima|5|-1|209 62 431 139.764267 32.465717 47208|Shizuoka|Aoga-shima|Japan|Yasundogo|6|-1|209 53 432 139.795365 33.070469 47217|Shizuoka|Ko-jima|Japan|Kashitate|6|-1|44 53 432 139.811829 33.065743 47222|Shizuoka|Ko-jima|Japan|Nakanogo|6|-1|44 53 433 139.852677 33.083 47239|Shizuoka|Ko-jima|Japan|Sueyoshi|6|-1|104 25 434 139.905914 34.908623 47265|Chiba|Honshu|Japan|Hara|6|-1|78 25 434 139.939972 34.923683 47283|Chiba|Honshu|Japan|Shiramazu|6|-1|78 25 434 139.945312 34.929329 47287|Chiba|Honshu|Japan|Okawa|6|-1|78 24 434 139.950516 34.983048 47290|Chiba|Honshu|Japan|Seto|6|-1|6 24 434 139.955963 34.996681 47291|Chiba|Honshu|Japan|Kubo|6|-1|6 24 435 139.968277 34.986267 47295|Chiba|Honshu|Japan|Shirako|6|-1|102 25 435 139.969193 34.957291 47297|Chiba|Honshu|Japan|Chikura|3|-1|371 23 435 140.025497 35.038288 47327|Chiba|Honshu|Japan|Wada|5|-1|16 22 437 140.117401 35.108238 47372|Chiba|Honshu|Japan|Kamogawa|4|28771|47 22 440 140.315399 35.151741 47416|Chiba|Honshu|Japan|Katsuura|5|21986|84 20 441 140.397797 35.24345 47441|Chiba|Honshu|Japan|Ohara|3|19910|17 16 442 140.446106 35.523998 47447|Chiba|Honshu|Japan|Katakai|3|-1|19 15 442 140.487 35.592781 47452|Chiba|Honshu|Japan|Hasunuma|5|-1|4 5 443 140.532333 36.266304 47464|Ibaraki|Honshu|Japan|Oyagaw|6|-1|6 4 443 140.543884 36.331829 47467|Ibaraki|Honshu|Japan|Ogushi|6|-1|3 5 443 140.559509 36.287338 47471|Ibaraki|Honshu|Japan|Natsumi|6|-1|6 5 443 140.561325 36.249573 47472|Ibaraki|Honshu|Japan|Kamigama|6|-1|6 6 444 140.56839 36.197872 47474|Ibaraki|Honshu|Japan|Katsuori|6|-1|24 8 444 140.568405 36.094334 47475|Ibaraki|Honshu|Japan|Taiyo|6|-1|3 7 444 140.578018 36.161167 47480|Ibaraki|Honshu|Japan|Otake|6|-1|20 3 444 140.587875 36.417057 47481|Ibaraki|Honshu|Japan|Nagasuna|6|-1|15 7 444 140.589218 36.135563 47482|Ibaraki|Honshu|Japan|Dainigorisawa|6|-1|20 7 444 140.596481 36.115334 47485|Ibaraki|Honshu|Japan|Muyokama|6|-1|20 2 444 140.600937 36.449833 47487|Ibaraki|Honshu|Japan|Shirane|6|-1|23 8 444 140.606461 36.036892 47488|Ibaraki|Honshu|Japan|Omi|6|-1|3 8 444 140.607056 36.091896 47489|Ibaraki|Honshu|Japan|Kyochikama|6|-1|3 2 444 140.607269 36.478859 47490|Ibaraki|Honshu|Japan|Toyooka|6|-1|23 2 444 140.612503 36.492458 47491|Ibaraki|Honshu|Japan|Kuji|3|35027|23 8 444 140.621002 36.059158 47492|Ibaraki|Honshu|Japan|Hamatsuga|5|-1|3 3 444 140.622192 36.38142 47493|Ibaraki|Honshu|Japan|Nakaminato|5|31380|15 8 444 140.631012 36.046246 47495|Ibaraki|Honshu|Japan|Aotsuka|6|-1|3 9 445 140.646988 36.018925 47507|Ibaraki|Honshu|Japan|Koya|6|-1|20 12 447 140.780396 35.80069 47556|Ibaraki|Honshu|Japan|Yatabe|5|-1|9 13 447 140.819397 35.73822 47572|Chiba|Honshu|Japan|Choshi|3|83521|2 14 448 140.856186 35.698036 47585|Chiba|Honshu|Japan|Tokawacho|6|-1|28 14 448 140.858505 35.69796 47586|Chiba|Honshu|Japan|Inuwaka|5|-1|28 167 454 141.288422 25.444771 47763|Shizuoka| |Japan|Ishinomura|6|-1|72 177 455 141.333333 24.783333 47776|Shizuoka|Iwo To (Iwo Jima)|Japan|Higashi|6|-1|115 143 468 142.185745 27.096334 48148|Shizuoka| |Japan|Omura|6|-1|113 143 468 142.199203 27.06529 48152|Shizuoka| |Japan|Ogigaura|4|-1|113 143 468 142.203873 27.083233 48155|Shizuoka| |Japan|Sakaiura|6|-1|113 350 505 144.667404 13.29798 48536| | |Guam|Umatac|5|-1|82 350 505 144.669722 13.263333 48538| | |Guam|Merizo|4|1715|82 350 506 144.740601 13.27559 48551| | |Guam|Inarajan|5|736|891 348 507 144.773611 13.404444 48563| | |Guam|Yona|4|2283|694 347 507 144.776667 13.483889 48564| | |Guam|Tamuning|4|11125|338 347 507 144.798889 13.468333 48566| | |Guam|Barrigada|4|4663|338 347 507 144.804703 13.44368 48568| | |Guam|Camp Quezon|5|-1|338 346 508 144.835 13.50972 48578| | |Guam|South Acres|6|-1|111 347 508 144.83778 13.46583 48579| | |Guam|Asbeco|6|-1|867 347 508 144.85306 13.48944 48583| | |Guam|Adacao|6|-1|867 346 508 144.85611 13.51778 48585| | |Guam|Ipapao|6|-1|111 346 508 144.88389 13.52278 48591| | |Guam|Perez Acres|6|-1|111 346 508 144.88528 13.54083 48592| | |Guam|Spring Hill Subdivision|6|-1|111 346 509 144.90167 13.52944 48598| | |Guam|Gayinero|6|-1|1008 346 509 144.905106 13.56484 48599| | |Guam|Asatdas|5|-1|1008 346 509 144.91194 13.54694 48601| | |Guam|Lupog|6|-1|1008 337 512 145.144273 14.137193 48670| |Rota|Northern Mariana Islands|Songsong|6|1317|137 337 513 145.203056 14.153611 48684| |Rota|Northern Mariana Islands|Rota|4|-1|958 337 513 145.23333 14.165 48689| |Rota|Northern Mariana Islands|Sinapalo|6|-1|958 325 520 145.638794 14.96455 48776| |Tinian|Northern Mariana Islands|Sunharon Roads|5|-1|383 322 520 145.697432 15.125323 48785| |Saipan|Northern Mariana Islands|Afetna|6|-1|44 322 521 145.704739 15.149134 48787| |Saipan|Northern Mariana Islands|Susupi|6|-1|532 322 521 145.735199 15.14995 48801| |Saipan|Northern Mariana Islands|Chalan Kanoa|5|3176|532 322 521 145.7547 15.11521 48813| |Saipan|Northern Mariana Islands|Aslito|5|-1|532 277 522 145.76694 18.12778 48821| |Pagan|Northern Mariana Islands|Shomushon|6|-1|1210 277 522 145.77083 18.16111 48822| |Pagan|Northern Mariana Islands|Marasu|6|-1|1210 320 522 145.77278 15.24694 48824| |Saipan|Northern Mariana Islands|San Roque|6|1066|710 321 522 145.77861 15.16667 48831| |Saipan|Northern Mariana Islands|Kagman|6|-1|950 gauges file created:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/gauges.dat 2022-12-10 00:00:00 2022-12-10 12:00:00 2.0 2022-12-10 00:00:00 ********************** caseFolder=/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 writeFolder=2022/GDACS/1000951/1_ECMWF restart=False ********************** deleting /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt O:\SSCS\2022\GDACS\1000951\1_ECMWF /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/case.dance 2022-12-10 22:01:09: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:01:19: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:01:29: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:01:39: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:01:49: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:01:59: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:02:10: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:02:20: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:02:30: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:02:40: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:02:50: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:03:00: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:03:10: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:03:20: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:03:30: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:03:40: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 2022-12-10 22:03:50: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/P1_MAXHEIGHT_END.jpg geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/20221210.00, forecast of 10-12-2022 00:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/P1_MAXHEIGHT_END.png creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/locations.xml ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] writing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/locations.xml 2022-12-10 12:00:00 \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/OUT-T-ETA.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/HA_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/OUT-T-U.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/U_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/OUT-T-V.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/V_12.0h.grd prevnetcf=/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/20221210.00.tropical_cyclone.nc rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/20221210.00.tropical_cyclone.nc cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/HA_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/HA_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/U_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/U_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/V_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/V_restart.grd ********************** caseFolder=/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 writeFolder=2022/GDACS/1000951/1_ECMWF restart=True ********************** deleting /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt O:\SSCS\2022\GDACS\1000951\1_ECMWF /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/case.dance 2022-12-10 22:04:33: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:04:43: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:04:53: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:05:03: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:05:13: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:05:23: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:05:33: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:05:43: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:05:53: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:06:03: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:06:13: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:06:23: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:06:33: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:06:43: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:06:53: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 2022-12-10 22:07:03: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/P1_MAXHEIGHT_END.jpg geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/20221210.12, forecast of 10-12-2022 12:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/P1_MAXHEIGHT_END.png creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/locations.xml ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] writing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/locations.xml creating final O:\SSCS/2022/GDACS/1000951/1_ECMWF/namidance ndt: 2 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/ 0 2 False (3) numToAdd 49 111.03333333333333 2.63333333333334 True open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 2.63333333333334 49 (49, 510, 554) (49, 510, 554) created nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/ 1 2 True (1) numToAdd 289 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc 2.63333333333334 1 (1, 510, 554) (1, 510, 554) created nc ok creating imagess for final folder /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/final, forecast of 10-12-2022 12:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.png opening /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 337 creating animation with step: 2 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00000.jpg t=10-12-2022 00:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00050.jpg t=10-12-2022 12:30 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00100.jpg t=11-12-2022 01:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00150.jpg t=11-12-2022 13:30 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00200.jpg t=12-12-2022 02:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00250.jpg t=12-12-2022 14:30 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00300.jpg t=13-12-2022 03:00 ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] ndt: 2 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF 2022-12-10 00:00:00 2022-12-10 12:00:00 12.0 .tropical_cyclone /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.12.tropical_cyclone.nc Creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc 2.549999952316284 1 (485, 527) (1, 485, 527) created nc ok gdal_translate -of GTiff NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc:maxvel -b 1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif creating classify files reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.008333333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 110.90474579089495 2.5135794343206186 148.0630791242283 36.70524610098728 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/wind_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif done input var: storm surge reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 111.0 2.6000000000000156 147.9333333333333 36.6 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/ssurge_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif done creating coastal impact 111.0 147.93333333333334 2.5999999999999943 36.6 0.06666666666666668 bathymetry.tif in grid: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif False ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/bathymetry.tif ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/iDeck.txt in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt /home/critechuser/operational/bin/coastalImpact -i /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt -o /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final > /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/outCostalImpact.txt error in generating coastalImpact no such column: sqliteExt (4a) creating completed: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-10 12:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-10 12:00:00 no case needed, exiting checking existance of: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt True 0.2013888888888889 check if folder exists /mnt/output/SSCS/2022/GDACS/1000950/1_HWRF check if folder exists /mnt/output/SSCS/2022/GDACS/1000950/1_HWRF/namidance submitting a new case python /mnt/output/SSCS/script_nami/execNami.py exec /mnt/output/SSCS/script_nami/runCase.sh -dh 6 -s HWRF -o 2022/GDACS/1000950/1_HWRF>>/mnt/output/SSCS/2022/GDACS/1000950/1_HWRF/namidance/logexec.txt & end check queue Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 527, 485 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif [1/1] : 0Using internal nodata values (e.g. -200) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif [1/1] : 0Using internal nodata values (e.g. -3.40282e+38) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. machine= siprapp01p-shak operLinux /mnt/output/SSCS ['/mnt/output/SSCS/script_nami/execNami.py', 'exec', '/mnt/output/SSCS/script_nami/runCase.sh', '-dh', '12', '-s', 'ECMWF', '-o', '2022/GDACS/1000951/1_ECMWF'] 12 arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF Bathymetry file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd existing: ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-11 00:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-11 00:00:00 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid 2022-12-10 00:00:00 2022-12-11 00:00:00 3.0 2022-12-10 00:00:00 2022-12-10 12:00:00 2022-12-11 00:00:00 \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/OUT-T-ETA.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/HA_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/OUT-T-U.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/U_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/OUT-T-V.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/V_12.0h.grd prevnetcf= cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/HA_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/HA_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/U_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/U_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/V_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/V_restart.grd ********************** caseFolder=/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 writeFolder=2022/GDACS/1000951/1_ECMWF restart=True ********************** deleting /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt O:\SSCS\2022\GDACS\1000951\1_ECMWF /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/case.dance 2022-12-11 10:00:19: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:00:29: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:00:39: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:00:49: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:00:59: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:01:09: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:01:19: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:01:29: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:01:39: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:01:49: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:01:59: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:02:09: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:02:19: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:02:29: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 2022-12-11 10:02:39: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/P1_MAXHEIGHT_END.jpg geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/20221211.00, forecast of 11-12-2022 00:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/P1_MAXHEIGHT_END.png creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/locations.xml ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] writing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/locations.xml creating final O:\SSCS/2022/GDACS/1000951/1_ECMWF/namidance ndt: 3 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/ 0 3 False (3) numToAdd 49 111.03333333333333 2.63333333333334 True open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 2.63333333333334 49 (49, 510, 554) (49, 510, 554) created nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/ 1 3 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/ 2 3 True (1) numToAdd 289 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc 2.63333333333334 1 (1, 510, 554) (1, 510, 554) created nc ok creating imagess for final folder /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/final, forecast of 11-12-2022 00:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.png opening /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 385 creating animation with step: 2 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00000.jpg t=10-12-2022 00:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00050.jpg t=10-12-2022 12:30 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00100.jpg t=11-12-2022 01:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00150.jpg t=11-12-2022 13:30 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00200.jpg t=12-12-2022 02:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00250.jpg t=12-12-2022 14:30 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00300.jpg t=13-12-2022 03:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00350.jpg t=13-12-2022 15:30 ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] ndt: 3 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF 2022-12-10 00:00:00 2022-12-11 00:00:00 12.0 .tropical_cyclone /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.00.tropical_cyclone.nc Creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc 2.549999952316284 1 (485, 527) (1, 485, 527) created nc ok gdal_translate -of GTiff NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc:maxvel -b 1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif creating classify files reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.008333333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 110.90474579089495 2.5135794343206186 148.0630791242283 36.70524610098728 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/wind_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif done input var: storm surge reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 111.0 2.6000000000000156 147.9333333333333 36.6 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/ssurge_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif done creating coastal impact 111.0 147.93333333333334 2.5999999999999943 36.6 0.06666666666666668 bathymetry.tif in grid: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif True ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/bathymetry.tif ... file already existing, not copied ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/iDeck.txt in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt ... file already existing, not copied /home/critechuser/operational/bin/coastalImpact -i /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt -o /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final > /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/outCostalImpact.txt error in generating coastalImpact no such column: sqliteExt (4a) creating completed: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-11 00:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-11 00:00:00 no case needed, exiting checking existance of: /mnt/output/SSCS/2022/GDACS/1000950/1_HWRF/namidance/final/completed.txt False 0.10194444444444445 at least 1 case already under execution, exiting end check queue machine= siprapp01p-shak operLinux /mnt/output/SSCS ['/mnt/output/SSCS/script_nami/execNami.py', 'exec', '/mnt/output/SSCS/script_nami/runCase.sh', '-dh', '12', '-s', 'ECMWF', '-o', '2022/GDACS/1000951/1_ECMWF'] 12 arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF Bathymetry file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd existing: ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-11 12:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-11 12:00:00 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid 2022-12-10 00:00:00 2022-12-11 12:00:00 4.0 2022-12-10 00:00:00 2022-12-10 12:00:00 2022-12-11 00:00:00 2022-12-11 12:00:00 Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 527, 485 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif [1/1] : 0Using internal nodata values (e.g. -200) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif [1/1] : 0Using internal nodata values (e.g. -3.40282e+38) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. machine= siprapp01p-shak operLinux /mnt/output/SSCS ['/mnt/output/SSCS/script_nami/execNami.py', 'exec', '/mnt/output/SSCS/script_nami/runCase.sh', '-dh', '12', '-s', 'ECMWF', '-o', '2022/GDACS/1000951/1_ECMWF'] 12 arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF Bathymetry file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd existing: ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-11 12:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-11 12:00:00 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid 2022-12-10 00:00:00 2022-12-11 12:00:00 4.0 2022-12-10 00:00:00 2022-12-10 12:00:00 2022-12-11 00:00:00 2022-12-11 12:00:00 \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/OUT-T-ETA.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/HA_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/OUT-T-U.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/U_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/OUT-T-V.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/V_12.0h.grd prevnetcf= cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/HA_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/HA_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/U_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/U_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/V_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/V_restart.grd ********************** caseFolder=/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 writeFolder=2022/GDACS/1000951/1_ECMWF restart=True ********************** deleting /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt O:\SSCS\2022\GDACS\1000951\1_ECMWF /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/case.dance 2022-12-11 22:00:12: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:00:22: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:00:32: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:00:42: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:00:52: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:01:02: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:01:12: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:01:22: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:01:32: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:01:42: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:01:52: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:02:02: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:02:12: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:02:22: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:02:32: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:02:42: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:02:52: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:03:02: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:03:12: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:03:22: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:03:32: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:03:42: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:03:52: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 2022-12-11 22:04:02: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/P1_MAXHEIGHT_END.jpg geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/20221211.12, forecast of 11-12-2022 12:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/P1_MAXHEIGHT_END.png creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/locations.xml ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] writing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/locations.xml creating final O:\SSCS/2022/GDACS/1000951/1_ECMWF/namidance ndt: 4 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/ 0 4 False (3) numToAdd 49 111.03333333333333 2.63333333333334 True open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 2.63333333333334 49 (49, 510, 554) (49, 510, 554) created nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/ 1 4 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/ 2 4 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/ 3 4 True (1) numToAdd 289 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc 2.63333333333334 1 (1, 510, 554) (1, 510, 554) created nc ok creating imagess for final folder /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/final, forecast of 11-12-2022 12:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.png opening /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 433 creating animation with step: 4 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00000.jpg t=10-12-2022 00:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00100.jpg t=11-12-2022 01:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00200.jpg t=12-12-2022 02:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00300.jpg t=13-12-2022 03:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00400.jpg t=14-12-2022 04:00 ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] ndt: 4 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF 2022-12-10 00:00:00 2022-12-11 12:00:00 12.0 .tropical_cyclone /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.12.tropical_cyclone.nc Creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc 2.549999952316284 1 (485, 527) (1, 485, 527) created nc ok gdal_translate -of GTiff NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc:maxvel -b 1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif creating classify files reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.008333333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 110.90474579089495 2.5135794343206186 148.0630791242283 36.70524610098728 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/wind_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif done input var: storm surge reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 111.0 2.6000000000000156 147.9333333333333 36.6 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/ssurge_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif done creating coastal impact 111.0 147.93333333333334 2.5999999999999943 36.6 0.06666666666666668 bathymetry.tif in grid: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif True ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/bathymetry.tif ... file already existing, not copied ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/iDeck.txt in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt ... file already existing, not copied /home/critechuser/operational/bin/coastalImpact -i /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt -o /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final > /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/outCostalImpact.txt error in generating coastalImpact no such column: sqliteExt (4a) creating completed: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-11 12:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-11 12:00:00 no case needed, exiting checking existance of: /mnt/output/SSCS/2022/GDACS/1000951/1_holland/namidance/final/completed.txt False 0.12333333333333334 at least 1 case already under execution, exiting end check queue Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 527, 485 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif [1/1] : 0Using internal nodata values (e.g. -200) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif [1/1] : 0Using internal nodata values (e.g. -3.40282e+38) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. machine= siprapp01p-shak operLinux /mnt/output/SSCS ['/mnt/output/SSCS/script_nami/execNami.py', 'exec', '/mnt/output/SSCS/script_nami/runCase.sh', '-dh', '12', '-s', 'ECMWF', '-o', '2022/GDACS/1000951/1_ECMWF'] 12 arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF Bathymetry file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd existing: ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-12 00:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-12 00:00:00 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid 2022-12-10 00:00:00 2022-12-12 00:00:00 5.0 2022-12-10 00:00:00 2022-12-10 12:00:00 2022-12-11 00:00:00 2022-12-11 12:00:00 2022-12-12 00:00:00 \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/OUT-T-ETA.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/HA_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/OUT-T-U.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/U_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/OUT-T-V.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/V_12.0h.grd prevnetcf= cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/HA_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/HA_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/U_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/U_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/V_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/V_restart.grd ********************** caseFolder=/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 writeFolder=2022/GDACS/1000951/1_ECMWF restart=True ********************** deleting /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt O:\SSCS\2022\GDACS\1000951\1_ECMWF /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/case.dance 2022-12-12 09:03:12: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:03:22: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:03:32: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:03:42: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:03:52: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:04:02: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:04:12: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:04:22: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:04:32: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:04:42: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:04:52: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:05:02: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:05:12: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:05:22: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 2022-12-12 09:05:32: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/P1_MAXHEIGHT_END.jpg geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/20221212.00, forecast of 12-12-2022 00:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/P1_MAXHEIGHT_END.png creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/locations.xml ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] writing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/locations.xml creating final O:\SSCS/2022/GDACS/1000951/1_ECMWF/namidance ndt: 5 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/ 0 5 False (3) numToAdd 49 111.03333333333333 2.63333333333334 True open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 2.63333333333334 49 (49, 510, 554) (49, 510, 554) created nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/ 1 5 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/ 2 5 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/ 3 5 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/ 4 5 True (1) numToAdd 289 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc 2.63333333333334 1 (1, 510, 554) (1, 510, 554) created nc ok creating imagess for final folder /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/final, forecast of 12-12-2022 00:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.png opening /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 481 creating animation with step: 4 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00000.jpg t=10-12-2022 00:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00100.jpg t=11-12-2022 01:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00200.jpg t=12-12-2022 02:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00300.jpg t=13-12-2022 03:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00400.jpg t=14-12-2022 04:00 ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] ndt: 5 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF 2022-12-10 00:00:00 2022-12-12 00:00:00 12.0 .tropical_cyclone /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221212.00.tropical_cyclone.nc Creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc 2.549999952316284 1 (485, 527) (1, 485, 527) created nc ok gdal_translate -of GTiff NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc:maxvel -b 1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif creating classify files reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.008333333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 110.90474579089495 2.5135794343206186 148.0630791242283 36.70524610098728 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/wind_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif done input var: storm surge reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 111.0 2.6000000000000156 147.9333333333333 36.6 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/ssurge_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif done creating coastal impact 111.0 147.93333333333334 2.5999999999999943 36.6 0.06666666666666668 bathymetry.tif in grid: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif True ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/bathymetry.tif ... file already existing, not copied ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/iDeck.txt in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt ... file already existing, not copied /home/critechuser/operational/bin/coastalImpact -i /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt -o /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final > /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/outCostalImpact.txt error in generating coastalImpact no such column: sqliteExt (4a) creating completed: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-12 00:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-12 00:00:00 no case needed, exiting checking existance of: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt True 0.1686111111111111 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_GFS check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_GFS/namidance submitting a new case python /mnt/output/SSCS/script_nami/execNami.py exec /mnt/output/SSCS/script_nami/runCase.sh -dh 6 -s GFS -o 2022/GDACS/1000951/1_GFS>>/mnt/output/SSCS/2022/GDACS/1000951/1_GFS/namidance/logexec.txt & end check queue Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 527, 485 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif [1/1] : 0Using internal nodata values (e.g. -200) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif [1/1] : 0Using internal nodata values (e.g. -3.40282e+38) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. machine= siprapp01p-shak operLinux /mnt/output/SSCS ['/mnt/output/SSCS/script_nami/execNami.py', 'exec', '/mnt/output/SSCS/script_nami/runCase.sh', '-dh', '12', '-s', 'ECMWF', '-o', '2022/GDACS/1000951/1_ECMWF'] 12 arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF Bathymetry file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd existing: ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-12 12:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-12 12:00:00 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid 2022-12-10 00:00:00 2022-12-12 12:00:00 6.0 2022-12-10 00:00:00 2022-12-10 12:00:00 2022-12-11 00:00:00 2022-12-11 12:00:00 2022-12-12 00:00:00 2022-12-12 12:00:00 \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/OUT-T-ETA.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/HA_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/OUT-T-U.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/U_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/OUT-T-V.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/V_12.0h.grd prevnetcf= cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/HA_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/HA_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/U_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/U_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/V_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/V_restart.grd ********************** caseFolder=/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 writeFolder=2022/GDACS/1000951/1_ECMWF restart=True ********************** deleting /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt O:\SSCS\2022\GDACS\1000951\1_ECMWF /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/case.dance 2022-12-12 21:03:10: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:03:20: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:03:30: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:03:40: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:03:50: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:04:01: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:04:11: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:04:21: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:04:31: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:04:41: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:04:51: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:05:01: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:05:11: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 2022-12-12 21:05:21: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/P1_MAXHEIGHT_END.jpg geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/20221212.12, forecast of 12-12-2022 12:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/P1_MAXHEIGHT_END.png creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/locations.xml ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] writing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/locations.xml creating final O:\SSCS/2022/GDACS/1000951/1_ECMWF/namidance ndt: 6 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/ 0 6 False (3) numToAdd 49 111.03333333333333 2.63333333333334 True open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 2.63333333333334 49 (49, 510, 554) (49, 510, 554) created nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/ 1 6 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/ 2 6 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/ 3 6 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/ 4 6 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/ 5 6 True (1) numToAdd 289 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc 2.63333333333334 1 (1, 510, 554) (1, 510, 554) created nc ok creating imagess for final folder /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/final, forecast of 12-12-2022 12:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.png opening /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 529 creating animation with step: 4 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00000.jpg t=10-12-2022 00:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00100.jpg t=11-12-2022 01:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00200.jpg t=12-12-2022 02:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00300.jpg t=13-12-2022 03:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00400.jpg t=14-12-2022 04:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00500.jpg t=15-12-2022 05:00 ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] ndt: 6 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF 2022-12-10 00:00:00 2022-12-12 12:00:00 12.0 .tropical_cyclone /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221212.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221212.12.tropical_cyclone.nc Creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc 2.549999952316284 1 (485, 527) (1, 485, 527) created nc ok gdal_translate -of GTiff NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc:maxvel -b 1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif creating classify files reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.008333333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 110.90474579089495 2.5135794343206186 148.0630791242283 36.70524610098728 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/wind_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif done input var: storm surge reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 111.0 2.6000000000000156 147.9333333333333 36.6 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/ssurge_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif done creating coastal impact 111.0 147.93333333333334 2.5999999999999943 36.6 0.06666666666666668 bathymetry.tif in grid: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif True ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/bathymetry.tif ... file already existing, not copied ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/iDeck.txt in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt ... file already existing, not copied /home/critechuser/operational/bin/coastalImpact -i /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt -o /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final > /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/outCostalImpact.txt error in generating coastalImpact no such column: sqliteExt (4a) creating completed: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-12 12:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-12 12:00:00 no case needed, exiting checking existance of: /mnt/output/SSCS/2022/GDACS/1000950/1_HWRF/namidance/final/completed.txt False 0.12055555555555555 at least 1 case already under execution, exiting end check queue machine= siprapp01p-shak operLinux /mnt/output/SSCS ['/mnt/output/SSCS/script_nami/execNami.py', 'exec', '/mnt/output/SSCS/script_nami/runCase.sh', '-dh', '12', '-s', 'ECMWF', '-o', '2022/GDACS/1000951/1_ECMWF'] 12 arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF Bathymetry file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd existing: ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-13 00:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-13 00:00:00 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid 2022-12-10 00:00:00 2022-12-13 00:00:00 7.0 2022-12-10 00:00:00 2022-12-10 12:00:00 2022-12-11 00:00:00 2022-12-11 12:00:00 2022-12-12 00:00:00 2022-12-12 12:00:00 2022-12-13 00:00:00 Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 527, 485 0...10...20...30...40...50...60...70...80...90...100 - done. Input file size is 554, 510 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif [1/1] : 0Using internal nodata values (e.g. -200) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4459P x 4103L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif [1/1] : 0Using internal nodata values (e.g. 9.96921e+36) for image /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif. Copying nodata values from source /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif [1/1] : 0Using internal nodata values (e.g. -3.40282e+38) for image /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4432P x 4080L. Processing /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif [1/1] : 0Using internal nodata values (e.g. 65535) for image /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif. Copying nodata values from source /mnt/output/GDACS/DATA/GHSL/countries/ghs30ss_cnt.tif to destination /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif. ...10...20...30...40...50...60...70...80...90...100 - done. machine= siprapp01p-shak operLinux /mnt/output/SSCS ['/mnt/output/SSCS/script_nami/execNami.py', 'exec', '/mnt/output/SSCS/script_nami/runCase.sh', '-dh', '12', '-s', 'ECMWF', '-o', '2022/GDACS/1000951/1_ECMWF'] 12 arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF Bathymetry file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.grd existing: ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-13 00:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-13 00:00:00 check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance check if folder exists /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid 2022-12-10 00:00:00 2022-12-13 00:00:00 7.0 2022-12-10 00:00:00 2022-12-10 12:00:00 2022-12-11 00:00:00 2022-12-11 12:00:00 2022-12-12 00:00:00 2022-12-12 12:00:00 2022-12-13 00:00:00 \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/OUT-T-ETA.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/HA_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/OUT-T-U.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/U_12.0h.grd \gdal_translate -of GSAG -ot Float64 NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/OUT-T-V.nc -b 49 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/V_12.0h.grd prevnetcf= cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/HA_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/HA_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/U_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/U_restart.grd cp /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/V_12.0h.grd /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/V_restart.grd ********************** caseFolder=/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 writeFolder=2022/GDACS/1000951/1_ECMWF restart=True ********************** deleting /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt O:\SSCS\2022\GDACS\1000951\1_ECMWF /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/case.dance 2022-12-13 22:00:11: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:00:21: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:00:31: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:00:41: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:00:51: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:01:01: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:01:11: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:01:21: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:01:31: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:01:41: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:01:51: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:02:01: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:02:11: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 2022-12-13 22:02:21: sleeping 10s, waiting completion of /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/P1_MAXHEIGHT_END.jpg geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/20221213.00, forecast of 13-12-2022 00:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/P1_MAXHEIGHT_END.png creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/locations.xml ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] writing /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/locations.xml creating final O:\SSCS/2022/GDACS/1000951/1_ECMWF/namidance ndt: 7 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00/ 0 7 False (3) numToAdd 49 111.03333333333333 2.63333333333334 True open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 2.63333333333334 49 (49, 510, 554) (49, 510, 554) created nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12/ 1 7 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00/ 2 7 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12/ 3 7 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00/ 4 7 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12/ 5 7 False (3) numToAdd 49 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 folder,it,ndt,it==ndt-1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00/ 6 7 True (1) numToAdd 289 111.03333333333333 2.63333333333334 False open netCDF file: ...appending nc file update nc ok 12.0 open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc 2.63333333333334 1 (1, 510, 554) (1, 510, 554) created nc ok creating imagess for final folder /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final geoT (111.0, 0.06666666666666668, 0.0, 36.6, 0.0, -0.06666666666666667) (510, 554) /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-EXTREMUM.nc Maximum height 2022/GDACS/1000951/1_ECMWF/namidance/final, forecast of 13-12-2022 00:00 282540 0.0 0.0 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/base.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.jpg creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/P1_MAXHEIGHT_END.png opening /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/OUT-T-ETA.nc 577 creating animation with step: 4 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00000.jpg t=10-12-2022 00:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00100.jpg t=11-12-2022 01:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00200.jpg t=12-12-2022 02:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00300.jpg t=13-12-2022 03:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00400.jpg t=14-12-2022 04:00 creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/tmp/h_00500.jpg t=15-12-2022 05:00 ['id', '$admin', '$island', '$country', 'cityclass', 'popest', 'long', 'lat', '$name'] ndt: 7 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221210.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221211.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221212.12 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/20221213.00 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF 2022-12-10 00:00:00 2022-12-13 00:00:00 12.0 .tropical_cyclone /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221210.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221211.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221212.00.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221212.12.tropical_cyclone.nc /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/netcdf/20221213.00.tropical_cyclone.nc Creating /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc open netCDF file: ...creating nc file: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc 2.549999952316284 1 (485, 527) (1, 485, 527) created nc ok gdal_translate -of GTiff NETCDF:/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.nc:maxvel -b 1 /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif creating classify files reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXVEL_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.008333333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 110.90474579089495 2.5135794343206186 148.0630791242283 36.70524610098728 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/wind_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//wind10m_res_tall.tif done input var: storm surge reading /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/TIF_MAXHEIGHT_END.tif GHSL >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box gdalwarp -te 111.0 2.6000000000000156 147.9333333333333 36.6 "/mnt/output/GDACS/DATA/GHSL/GHS_POP_E2015_GLOBE_R2019A_4326_30ss_V1_0_hmax5m_2km.tif" "/mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif" >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify + coeff the raster file creating another array of values classified >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/ssurge_popDensValues.xml >> 7. remove files rm /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_popfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_countryfile_tall_clipped.tif /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final//ssurge_res_tall.tif done creating coastal impact 111.0 147.93333333333334 2.5999999999999943 36.6 0.06666666666666668 bathymetry.tif in grid: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif True ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/bathymetry.tif in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/bathymetry.tif ... file already existing, not copied ...copying /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/grid/iDeck.txt in /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt ... file already existing, not copied /home/critechuser/operational/bin/coastalImpact -i /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/iDeck.txt -o /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final > /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/outCostalImpact.txt error in generating coastalImpact no such column: sqliteExt (4a) creating completed: /mnt/output/SSCS/2022/GDACS/1000951/1_ECMWF/namidance/final/completed.txt arg= exec value= /mnt/output/SSCS/script_nami/runCase.sh arg= /mnt/output/SSCS/script_nami/runCase.sh value= -dh arg= -dh value= 12 arg= 12 value= -s arg= -s value= ECMWF arg= ECMWF value= -o arg= -o value= 2022/GDACS/1000951/1_ECMWF ** Start date ** 2022-12-10 00:00:00 ** Final date ** 2022-12-13 00:00:00 determined dates from netcdf: 2022-12-10 00:00:00 2022-12-13 00:00:00 no case needed, exiting checking existance of: /mnt/output/SSCS/2022/GDACS/1000951/1_GFS/namidance/final/completed.txt False 0.11638888888888889 at least 1 case already under execution, exiting end check queue