地図

地図上への円の描画:

経路データ

SID SEASON NUMBER BASIN SUBBASIN NAME ISO_TIME NATURE LAT LON WMO_WIND WMO_PRES WMO_AGENCY TRACK_TYPE DIST2LAND LANDFALL IFLAG USA_AGENCY USA_ATCF_ID USA_LAT USA_LON USA_RECORD USA_STATUS USA_WIND USA_PRES USA_SSHS USA_R34_NE USA_R34_SE USA_R34_SW USA_R34_NW USA_R50_NE USA_R50_SE USA_R50_SW USA_R50_NW USA_R64_NE USA_R64_SE USA_R64_SW USA_R64_NW USA_POCI USA_ROCI USA_RMW USA_EYE TOKYO_LAT TOKYO_LON TOKYO_GRADE TOKYO_WIND TOKYO_PRES TOKYO_R50_DIR TOKYO_R50_LONG TOKYO_R50_SHORT TOKYO_R30_DIR TOKYO_R30_LONG TOKYO_R30_SHORT TOKYO_LAND CMA_LAT CMA_LON CMA_CAT CMA_WIND CMA_PRES HKO_LAT HKO_LON HKO_CAT HKO_WIND HKO_PRES KMA_LAT KMA_LON KMA_CAT KMA_WIND KMA_PRES KMA_R50_DIR KMA_R50_LONG KMA_R50_SHORT KMA_R30_DIR KMA_R30_LONG KMA_R30_SHORT NEWDELHI_LAT NEWDELHI_LON NEWDELHI_GRADE NEWDELHI_WIND NEWDELHI_PRES NEWDELHI_CI NEWDELHI_DP NEWDELHI_POCI REUNION_LAT REUNION_LON REUNION_TYPE REUNION_WIND REUNION_PRES REUNION_TNUM REUNION_CI REUNION_RMW REUNION_R34_NE REUNION_R34_SE REUNION_R34_SW REUNION_R34_NW REUNION_R50_NE REUNION_R50_SE REUNION_R50_SW REUNION_R50_NW REUNION_R64_NE REUNION_R64_SE REUNION_R64_SW REUNION_R64_NW BOM_LAT BOM_LON BOM_TYPE BOM_WIND BOM_PRES BOM_TNUM BOM_CI BOM_RMW BOM_R34_NE BOM_R34_SE BOM_R34_SW BOM_R34_NW BOM_R50_NE BOM_R50_SE BOM_R50_SW BOM_R50_NW BOM_R64_NE BOM_R64_SE BOM_R64_SW BOM_R64_NW BOM_ROCI BOM_POCI BOM_EYE BOM_POS_METHOD BOM_PRES_METHOD NADI_LAT NADI_LON NADI_CAT NADI_WIND NADI_PRES WELLINGTON_LAT WELLINGTON_LON WELLINGTON_WIND WELLINGTON_PRES DS824_LAT DS824_LON DS824_STAGE DS824_WIND DS824_PRES TD9636_LAT TD9636_LON TD9636_STAGE TD9636_WIND TD9636_PRES TD9635_LAT TD9635_LON TD9635_WIND TD9635_PRES TD9635_ROCI NEUMANN_LAT NEUMANN_LON NEUMANN_CLASS NEUMANN_WIND NEUMANN_PRES MLC_LAT MLC_LON MLC_CLASS MLC_WIND MLC_PRES USA_GUST BOM_GUST BOM_GUST_PER REUNION_GUST REUNION_GUST_PER USA_SEAHGT USA_SEARAD_NE USA_SEARAD_SE USA_SEARAD_SW USA_SEARAD_NW STORM_SPEED STORM_DIR
2019342N09062 2019 107 NI AS UNNAMED 2019-12-08 09:00:00 TS 9.4 62.2 25 1002 newdelhi main 914 844 _____O_________ -5 9.4 62.2 D 25 1002 1.50000 4 13 290
2019342N09062 2019 107 NI AS UNNAMED 2019-12-08 12:00:00 TS 9.6 61.6 25 1002 newdelhi main 844 805 _____O_________ -5 9.6 61.6 D 25 1002 1.50000 4 10 295
2019342N09062 2019 107 NI AS UNNAMED 2019-12-08 15:00:00 TS 9.8 61.2 main 795 766 _____P_________ -5 9.8 61.2 D 25 1002 4 7 305
2019342N09062 2019 107 NI AS UNNAMED 2019-12-08 18:00:00 TS 10.0 61.0 25 1002 newdelhi main 766 727 _____O_________ -5 10.0 61.0 D 25 1002 1.50000 4 7 310
2019342N09062 2019 107 NI AS UNNAMED 2019-12-08 21:00:00 TS 10.2 60.7 main 727 688 _____P_________ -5 10.2 60.7 D 28 1001 5 7 305
2019342N09062 2019 107 NI AS UNNAMED 2019-12-09 00:00:00 TS 10.4 60.4 30 1000 newdelhi main 688 644 _____O_________ -5 10.4 60.4 DD 30 1000 2.00000 6 8 290
2019342N09062 2019 107 NI AS UNNAMED 2019-12-09 03:00:00 TS 10.5 60.0 30 1000 newdelhi main 644 579 _____O_________ -5 10.5 60.0 DD 30 1000 2.00000 6 10 280
2019342N09062 2019 107 NI AS UNNAMED 2019-12-09 06:00:00 TS 10.6 59.4 30 1000 newdelhi main 579 539 _____O_________ -5 10.6 59.4 DD 30 1000 2.00000 6 10 275
2019342N09062 2019 107 NI AS UNNAMED 2019-12-09 09:00:00 TS 10.6 59.0 main 539 490 _____P_________ -5 10.6 59.0 DD 28 1001 5 9 270
2019342N09062 2019 107 NI AS UNNAMED 2019-12-09 12:00:00 TS 10.6 58.5 25 1002 newdelhi main 490 423 _____O_________ -5 10.6 58.5 D 25 1002 1.50000 4 12 270
2019342N09062 2019 107 NI AS UNNAMED 2019-12-09 15:00:00 TS 10.6 57.8 main 423 352 _____P_________ -5 10.6 57.8 D 25 1002 4 15 270
2019342N09062 2019 107 NI AS UNNAMED 2019-12-09 18:00:00 TS 10.6 57.0 25 1002 newdelhi main 352 297 _____O_________ -5 10.6 57.0 D 25 1002 1.50000 4 15 270
2019342N09062 2019 107 NI AS UNNAMED 2019-12-09 21:00:00 TS 10.6 56.3 main 297 259 _____P_________ -5 10.6 56.3 D 25 1002 4 13 270
2019342N09062 2019 107 NI AS UNNAMED 2019-12-10 00:00:00 TS 10.6 55.7 25 1002 newdelhi main 259 231 _____O_________ -5 10.6 55.7 D 25 1002 1.50000 4 11 270
2019342N09062 2019 107 NI AS UNNAMED 2019-12-10 03:00:00 TS 10.6 55.2 25 1002 newdelhi main 231 _____O_________ -5 10.6 55.2 D 25 1002 1.50000 4 10 270

IBTrACS Databaseについて

本データベースは、米国NOAAが公開する1842年以降の世界の熱帯低気圧のベストトラックデータアーカイブInternational Best Track Archive for Climate Stewardship (IBTrACS)を、ウェブで閲覧しやすい形式に変換したものです。

Data provided by NOAA IBTrACS (International Best Track Archive for Climate Stewardship), accessed on 2024-12-18