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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
2017147N14087 2017 27 NI BB MORA 2017-05-27 06:00:00 TS 13.9 87.4 main 605 605 O______________ jtwc_io IO022017 13.9 87.4 TD 25 1000 -1 1003 180 55 10 95
2017147N14087 2017 27 NI BB MORA 2017-05-27 09:00:00 TS 13.8 87.9 main 646 646 P______________ IO022017 13.8 87.9 TD 28 1000 -1 1003 180 55 10 95
2017147N14087 2017 27 NI BB MORA 2017-05-27 12:00:00 TS 13.8 88.4 main 670 630 O______________ jtwc_io IO022017 13.8 88.4 TD 30 1000 -1 1003 180 55 9 90
2017147N14087 2017 27 NI BB MORA 2017-05-27 15:00:00 TS 13.8 88.8 main 630 586 P______________ IO022017 13.8 88.8 TD 33 998 -1 1003 180 45 8 85
2017147N14087 2017 27 NI BB MORA 2017-05-27 18:00:00 TS 13.9 89.2 main 586 542 O______________ jtwc_io IO022017 13.9 89.2 TS 35 996 0 1003 180 35 40 8 75
2017147N14087 2017 27 NI BB MORA 2017-05-27 21:00:00 TS 14.0 89.6 main 542 523 P______________ IO022017 14.0 89.6 TS 35 998 0 1003 180 40 6 55
2017147N14087 2017 27 NI BB MORA 2017-05-28 00:00:00 TS 14.2 89.7 25 998 newdelhi main 523 466 O____O_________ jtwc_io IO022017 14.3 90.0 TS 35 999 0 40 50 50 50 1003 180 45 14.0 88.5 D 25 998 1.50000 3 8 40
2017147N14087 2017 27 NI BB MORA 2017-05-28 03:00:00 TS 14.7 90.1 25 998 newdelhi main 463 419 P____O_________ IO022017 14.7 90.4 TS 35 998 0 40 45 50 50 1003 180 45 14.5 89.5 D 25 998 1.50000 3 11 40
2017147N14087 2017 27 NI BB MORA 2017-05-28 06:00:00 TS 15.1 90.5 25 997 newdelhi main 409 380 O____O_________ jtwc_io IO022017 15.2 90.8 TS 35 996 0 40 40 50 50 1002 180 45 15.0 90.0 D 25 997 1.50000 3 10 35
2017147N14087 2017 27 NI BB MORA 2017-05-28 09:00:00 TS 15.5 90.7 30 996 newdelhi main 378 365 P____O_________ IO022017 15.5 91.0 TS 38 995 0 48 48 60 60 1001 195 43 15.4 90.5 DD 30 996 2.00000 4 7 30
2017147N14087 2017 27 NI BB MORA 2017-05-28 12:00:00 TS 15.8 90.9 30 995 newdelhi main 353 342 O____O_________ jtwc_io IO022017 15.8 91.0 TS 40 993 0 55 55 70 70 1000 210 40 15.7 90.7 DD 30 995 2.00000 5 6 25
2017147N14087 2017 27 NI BB MORA 2017-05-28 15:00:00 TS 16.0 91.0 35 994 newdelhi main 342 332 P____O_________ IO022017 16.0 91.0 TS 43 991 0 55 55 70 70 1001 210 40 16.0 91.0 CS 35 994 2.50000 6 6 25
2017147N14087 2017 27 NI BB MORA 2017-05-28 18:00:00 TS 16.3 91.1 35 994 newdelhi main 332 325 O____O_________ jtwc_io IO022017 16.3 91.0 TS 45 989 0 55 55 70 70 1001 210 40 16.3 91.2 CS 35 994 2.50000 6 50 6 15
2017147N14087 2017 27 NI BB MORA 2017-05-28 21:00:00 TS 16.6 91.2 40 992 newdelhi main 327 327 P____O_________ IO022017 16.6 91.1 TS 48 989 0 68 68 75 80 1001 215 43 16.6 91.3 CS 40 992 2.50000 8 7 10
2017147N14087 2017 27 NI BB MORA 2017-05-29 00:00:00 TS 17.0 91.3 45 990 newdelhi main 324 317 O____O_________ jtwc_io IO022017 17.0 91.2 TS 50 988 0 80 80 80 90 1001 220 45 17.0 91.3 CS 45 990 3.00000 10 7 10
2017147N14087 2017 27 NI BB MORA 2017-05-29 03:00:00 TS 17.3 91.3 45 990 newdelhi main 317 283 P____O_________ IO022017 17.3 91.4 TS 53 986 0 105 105 105 120 1000 205 43 17.3 91.3 CS 45 990 3.00000 10 8 15
2017147N14087 2017 27 NI BB MORA 2017-05-29 06:00:00 TS 17.8 91.5 45 988 newdelhi main 268 238 O____O_________ jtwc_io IO022017 17.7 91.5 TS 55 983 0 130 130 130 150 999 190 40 17.8 91.4 CS 45 988 3.00000 10 10 15
2017147N14087 2017 27 NI BB MORA 2017-05-29 09:00:00 TS 18.2 91.6 45 986 newdelhi main 238 216 P____O_________ IO022017 18.2 91.6 TS 58 981 0 130 130 130 150 1000 190 40 18.3 91.5 CS 45 986 3.00000 11 9 10
2017147N14087 2017 27 NI BB MORA 2017-05-29 12:00:00 TS 18.7 91.6 50 984 newdelhi main 207 183 O____O_________ jtwc_io IO022017 18.7 91.7 TS 60 978 0 130 130 130 150 15 30 30 40 1000 190 40 18.6 91.5 SCS 50 984 3.00000 12 70 8 5
2017147N14087 2017 27 NI BB MORA 2017-05-29 15:00:00 TS 19.0 91.6 55 980 newdelhi main 183 127 P____O_________ IO022017 19.2 91.7 TS 65 974 1 130 130 130 150 15 30 30 40 999 180 35 18.8 91.5 SCS 55 980 3.50000 16 12 0
2017147N14087 2017 27 NI BB MORA 2017-05-29 18:00:00 TS 19.8 91.7 55 980 newdelhi main 113 91 O____O_________ jtwc_io IO022017 19.7 91.7 TY 70 970 1 130 130 130 150 15 30 30 40 998 170 30 20.0 91.6 SCS 55 980 3.50000 16 13 5
2017147N14087 2017 27 NI BB MORA 2017-05-29 21:00:00 TS 20.3 91.7 60 978 newdelhi main 85 30 P____O_________ IO022017 20.2 91.8 TY 75 967 1 115 125 125 135 13 30 30 35 998 175 28 20.3 91.6 SCS 60 978 3.50000 18 12 10
2017147N14087 2017 27 NI BB MORA 2017-05-30 00:00:00 TS 21.0 91.9 60 978 newdelhi main 30 0 O____O_________ jtwc_io IO022017 20.9 92.0 TY 80 963 1 100 120 120 120 10 30 30 30 5 20 20 20 997 180 25 21.1 91.8 SCS 60 978 3.50000 18 17 10
2017147N14087 2017 27 NI BB MORA 2017-05-30 03:00:00 TS 21.9 92.0 60 978 newdelhi main 0 0 P____O_________ IO022017 22.0 92.0 TY 68 972 1 100 120 120 120 10 30 30 30 997 180 25 21.8 91.9 SCS 60 978 3.50000 18 20 0
2017147N14087 2017 27 NI BB MORA 2017-05-30 06:00:00 TS 23.0 92.0 55 982 newdelhi main 0 0 O____O_________ jtwc_io IO022017 23.2 92.1 TS 55 980 0 100 120 120 120 10 30 30 30 997 180 25 22.8 91.9 SCS 55 982 0.00000 16 20 5
2017147N14087 2017 27 NI BB MORA 2017-05-30 09:00:00 TS 23.9 92.2 40 988 newdelhi main 0 0 P____O_________ IO022017 24.3 92.2 TS 48 987 0 100 120 120 120 999 180 30 23.6 92.1 CS 40 988 0.00000 10 17 10
2017147N14087 2017 27 NI BB MORA 2017-05-30 12:00:00 TS 24.7 92.4 30 990 newdelhi main 0 0 O____O_________ jtwc_io IO022017 25.1 92.5 TS 40 993 0 100 120 120 120 1000 180 35 24.2 92.2 DD 30 990 0.00000 6 13 15
2017147N14087 2017 27 NI BB MORA 2017-05-30 15:00:00 TS 25.2 92.6 main 0 0 P____P_________ IO022017 25.6 92.9 TS 35 997 0 50 60 60 60 1000 180 35 24.8 92.3 DD 25 992 5 11 25
2017147N14087 2017 27 NI BB MORA 2017-05-30 18:00:00 TS 25.7 92.9 20 994 newdelhi main 0 O____O_________ jtwc_io IO022017 26.0 93.3 TD 30 1000 -1 1000 180 35 25.3 92.4 D 20 994 0.00000 4 10 30

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 2025-02-05

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