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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 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
2016335N07088 2016 91 NI BB NADA 2016-11-29 12:00:00 TS 6.85000 87.7000 25 1004 newdelhi main 640 596 O___O_________ jtwc_io IO042016 7.20000 87.9000 TD 30 1000 -1 1008 215 40 6.50000 87.5000 D 25 1004 1.50000 2 11 307
2016335N07088 2016 91 NI BB NADA 2016-11-29 15:00:00 TS 7.18112 87.2538 main 596 543 P___P_________ IO042016 7.49519 87.3802 TD 32 998 -1 1008 180 32 6.86705 87.1274 D 25 1003 2 11 306
2016335N07088 2016 91 NI BB NADA 2016-11-29 18:00:00 TS 7.50000 86.8000 25 1003 newdelhi main 543 502 O___O_________ jtwc_io IO042016 7.80000 86.9000 TS 35 996 0 20 35 40 15 1009 145 25 7.20000 86.7000 D 25 1003 1.50000 2 11 304
2016335N07088 2016 91 NI BB NADA 2016-11-29 21:00:00 TS 7.80686 86.3327 main 493 455 P___P_________ IO042016 8.12732 86.4723 TS 37 994 0 22 35 45 27 1009 157 27 7.48641 86.1931 D 27 1002 2 11 305
2016335N07088 2016 91 NI BB NADA 2016-11-30 00:00:00 TS 8.15000 85.8500 30 1002 newdelhi main 456 409 O___O_________ jtwc_io IO042016 8.50000 86.0000 TS 40 993 0 25 35 50 40 1009 170 30 7.80000 85.7000 DD 30 1002 2.00000 3 13 308
2016335N07088 2016 91 NI BB NADA 2016-11-30 03:00:00 TS 8.58633 85.3251 35 1002 newdelhi main 401 375 P___O_________ IO042016 8.97267 85.3503 TS 42 991 0 27 42 55 35 1009 175 22 8.20000 85.3000 CS 35 1002 2.50000 4 13 312
2016335N07088 2016 91 NI BB NADA 2016-11-30 06:00:00 TS 9.05000 84.8500 35 1002 newdelhi main 380 341 O___O_________ jtwc_io IO042016 9.40000 84.7000 TS 45 989 0 30 50 60 30 1010 180 15 8.70000 85.0000 CS 35 1002 2.50000 4 14 313
2016335N07088 2016 91 NI BB NADA 2016-11-30 09:00:00 TS 9.56865 84.2599 35 1002 newdelhi main 345 316 P___O_________ IO042016 9.63730 84.2197 TS 45 989 0 30 50 60 30 1010 180 15 9.50000 84.3000 CS 35 1002 2.50000 4 12 309
2016335N07088 2016 91 NI BB NADA 2016-11-30 12:00:00 TS 9.80000 83.9000 40 1000 newdelhi main 316 282 O___O_________ jtwc_io IO042016 9.80000 83.8000 TS 45 989 0 30 50 60 30 1010 180 15 9.80000 84.0000 CS 40 1000 2.50000 4 9 298
2016335N07088 2016 91 NI BB NADA 2016-11-30 15:00:00 TS 10.0112 83.4213 40 1000 newdelhi main 282 259 P___O_________ IO042016 10.0225 83.3426 TS 45 989 0 40 57 67 60 1010 180 17 10.0000 83.5000 CS 40 1000 2.50000 4 10 296
2016335N07088 2016 91 NI BB NADA 2016-11-30 18:00:00 TS 10.2500 82.9500 40 1000 newdelhi main 265 199 O___O_________ jtwc_io IO042016 10.2000 82.9000 TS 45 989 0 50 65 75 90 1011 180 20 10.3000 83.0000 CS 40 1000 2.50000 4 12 286
2016335N07088 2016 91 NI BB NADA 2016-11-30 21:00:00 TS 10.3362 82.2462 40 1000 newdelhi main 190 172 P___O_________ IO042016 10.2724 82.4924 TS 42 991 0 50 62 72 85 1010 172 25 10.4000 82.0000 CS 40 1000 2.50000 4 10 276
2016335N07088 2016 91 NI BB NADA 2016-12-01 00:00:00 TS 10.3500 81.9500 35 1000 newdelhi main 180 156 O___O_________ jtwc_io IO042016 10.3000 82.1000 TS 40 993 0 50 60 70 80 1009 165 30 10.4000 81.8000 CS 35 1000 2.50000 4 5 273
2016335N07088 2016 91 NI BB NADA 2016-12-01 03:00:00 TS 10.3637 81.7000 30 1001 newdelhi main 157 139 P___O_________ IO042016 10.3275 81.6999 TS 40 993 0 50 60 70 80 1009 157 30 10.4000 81.7000 CS 30 1001 2.50000 4 7 282
2016335N07088 2016 91 NI BB NADA 2016-12-01 06:00:00 TS 10.5000 81.2500 30 1003 newdelhi main 141 109 O___O_________ jtwc_io IO042016 10.4000 81.3000 TS 40 993 0 50 60 70 80 1010 150 30 10.6000 81.2000 DD 30 1003 2.00000 3 9 289
2016335N07088 2016 91 NI BB NADA 2016-12-01 09:00:00 TS 10.6441 80.8845 main 109 76 P___P_________ IO042016 10.6075 80.8702 TS 37 994 0 45 55 60 70 1010 155 30 10.6806 80.8988 DD 30 1003 3 7 291
2016335N07088 2016 91 NI BB NADA 2016-12-01 12:00:00 TS 10.7500 80.6000 30 1004 newdelhi main 76 54 O___O_________ jtwc_io IO042016 10.8000 80.5000 TS 35 996 0 40 50 50 60 1010 160 30 10.7000 80.7000 DD 30 1004 2.00000 3 5 286
2016335N07088 2016 91 NI BB NADA 2016-12-01 15:00:00 TS 10.7899 80.3637 main 54 32 P___P_________ IO042016 10.8224 80.2774 TS 30 1000 -1 1010 145 30 10.7575 80.4500 DD 27 1005 2 5 276
2016335N07088 2016 91 NI BB NADA 2016-12-01 18:00:00 TS 10.8000 80.1429 25 1006 newdelhi main 21 0 O___O_________ jtwc_io IO042016 10.8000 80.1000 TD 25 1004 -1 1011 130 30 10.8000 80.2000 D 25 1006 1.50000 2 5 275
2016335N07088 2016 91 NI BB NADA 2016-12-01 21:00:00 TS 10.8317 79.8983 main 0 0 P___P_________ IO042016 10.8425 79.8725 TD 22 1005 -1 1011 130 30 10.8100 79.9500 D 25 1006 2 5 278
2016335N07088 2016 91 NI BB NADA 2016-12-02 00:00:00 NR 10.8750 79.6250 25 1006 newdelhi main 0 0 O___O_________ jtwc_io IO042016 10.9000 79.6000 DB 20 1007 -3 1011 130 30 10.8000 79.7000 D 25 1006 0.00000 2 6 281
2016335N07088 2016 91 NI BB NADA 2016-12-02 03:00:00 NR 10.9526 79.2675 main 0 0 P_____________ IO042016 10.9526 79.2675 DB 20 1007 -3 1011 130 30 D 7 280
2016335N07088 2016 91 NI BB NADA 2016-12-02 06:00:00 NR 11.0000 78.9000 main 0 O_____________ jtwc_io IO042016 11.0000 78.9000 DB 20 1007 -3 1011 130 30 7 278

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 2023-05-31

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