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 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 28 NI BB MORA 2017-05-27 06:00:00 TS 13.9000 87.4000 main 605 605 O_____________ jtwc_io IO022017 13.9000 87.4000 TD 25 1000 -1 1003 180 55 10 97
2017147N14087 2017 28 NI BB MORA 2017-05-27 09:00:00 TS 13.8378 87.9201 main 646 646 P_____________ IO022017 13.8378 87.9201 TD 27 1000 -1 1003 180 55 10 96
2017147N14087 2017 28 NI BB MORA 2017-05-27 12:00:00 TS 13.8000 88.4000 main 670 630 O_____________ jtwc_io IO022017 13.8000 88.4000 TD 30 1000 -1 1003 180 55 9 92
2017147N14087 2017 28 NI BB MORA 2017-05-27 15:00:00 TS 13.8124 88.8150 main 630 586 P_____________ IO022017 13.8124 88.8150 TD 32 998 -1 1003 180 45 8 83
2017147N14087 2017 28 NI BB MORA 2017-05-27 18:00:00 TS 13.9000 89.2000 main 586 542 O_____________ jtwc_io IO022017 13.9000 89.2000 TS 35 996 0 1003 180 35 40 8 73
2017147N14087 2017 28 NI BB MORA 2017-05-27 21:00:00 TS 14.0399 89.6002 main 542 523 P_____________ IO022017 14.0399 89.6002 TS 35 997 0 1003 180 40 6 55
2017147N14087 2017 28 NI BB MORA 2017-05-28 00:00:00 TS 14.2400 89.7000 25 998 newdelhi main 523 466 O___O_________ jtwc_io IO022017 14.3000 90.0000 TS 35 999 0 40 50 50 50 1003 180 45 14.0000 88.5000 D 25 998 1.50000 3 8 40
2017147N14087 2017 28 NI BB MORA 2017-05-28 03:00:00 TS 14.6567 90.1297 25 998 newdelhi main 463 419 P___O_________ IO022017 14.7351 90.4446 TS 35 997 0 40 45 50 50 1002 180 45 14.5000 89.5000 D 25 998 1.50000 3 11 40
2017147N14087 2017 28 NI BB MORA 2017-05-28 06:00:00 TS 15.1143 90.4572 25 997 newdelhi main 409 380 O___O_________ jtwc_io IO022017 15.2000 90.8000 TS 35 996 0 40 40 50 50 1002 180 45 15.0000 90.0000 D 25 997 1.50000 3 10 36
2017147N14087 2017 28 NI BB MORA 2017-05-28 09:00:00 TS 15.4649 90.7301 30 996 newdelhi main 378 365 P___O_________ IO022017 15.5299 90.9603 TS 37 994 0 47 47 60 60 1001 195 42 15.4000 90.5000 DD 30 996 2.00000 4 7 31
2017147N14087 2017 28 NI BB MORA 2017-05-28 12:00:00 TS 15.7500 90.8500 30 995 newdelhi main 353 342 O___O_________ jtwc_io IO022017 15.8000 91.0000 TS 40 993 0 55 55 70 70 1000 210 40 15.7000 90.7000 DD 30 995 2.00000 5 6 25
2017147N14087 2017 28 NI BB MORA 2017-05-28 15:00:00 TS 16.0212 91.0001 35 994 newdelhi main 342 332 P___O_________ IO022017 16.0425 91.0001 TS 42 991 0 55 55 70 70 1000 210 40 16.0000 91.0000 CS 35 994 2.50000 6 6 24
2017147N14087 2017 28 NI BB MORA 2017-05-28 18:00:00 TS 16.3000 91.1000 35 994 newdelhi main 332 325 O___O_________ jtwc_io IO022017 16.3000 91.0000 TS 45 989 0 55 55 70 70 1001 210 40 16.3000 91.2000 CS 35 994 2.50000 6 50 6 17
2017147N14087 2017 28 NI BB MORA 2017-05-28 21:00:00 TS 16.6175 91.1888 40 992 newdelhi main 327 327 P___O_________ IO022017 16.6350 91.0775 TS 47 988 0 67 67 75 80 1001 215 42 16.6000 91.3000 CS 40 992 2.50000 8 7 12
2017147N14087 2017 28 NI BB MORA 2017-05-29 00:00:00 TS 17.0000 91.2500 45 990 newdelhi main 324 317 O___O_________ jtwc_io IO022017 17.0000 91.2000 TS 50 988 0 80 80 80 90 1001 220 45 17.0000 91.3000 CS 45 990 3.00000 10 7 11
2017147N14087 2017 28 NI BB MORA 2017-05-29 03:00:00 TS 17.3138 91.3250 45 990 newdelhi main 317 283 P___O_________ IO022017 17.3275 91.3500 TS 52 985 0 105 105 105 120 1000 205 42 17.3000 91.3000 CS 45 990 3.00000 10 8 14
2017147N14087 2017 28 NI BB MORA 2017-05-29 06:00:00 TS 17.7500 91.4500 45 988 newdelhi main 268 238 O___O_________ jtwc_io IO022017 17.7000 91.5000 TS 55 983 0 130 130 130 150 40 30 30 999 190 40 17.8000 91.4000 CS 45 988 3.00000 10 10 14
2017147N14087 2017 28 NI BB MORA 2017-05-29 09:00:00 TS 18.2388 91.5612 45 986 newdelhi main 238 216 P___O_________ IO022017 18.1775 91.6224 TS 57 980 0 130 130 130 150 35 30 35 999 190 40 18.3000 91.5000 CS 45 986 3.00000 11 9 9
2017147N14087 2017 28 NI BB MORA 2017-05-29 12:00:00 TS 18.6500 91.6000 50 984 newdelhi main 207 183 O___O_________ jtwc_io IO022017 18.7000 91.7000 TS 60 978 0 130 130 130 150 15 30 30 40 1000 190 40 18.6000 91.5000 SCS 50 984 3.00000 12 70 8 3
2017147N14087 2017 28 NI BB MORA 2017-05-29 15:00:00 TS 18.9925 91.5964 55 980 newdelhi main 183 127 P___O_________ IO022017 19.1850 91.6929 TS 65 974 1 130 130 130 150 15 30 30 40 999 180 35 18.8000 91.5000 SCS 55 980 3.50000 16 12 2
2017147N14087 2017 28 NI BB MORA 2017-05-29 18:00:00 TS 19.8500 91.6500 55 980 newdelhi main 113 91 O___O_________ jtwc_io IO022017 19.7000 91.7000 TY 70 970 1 130 130 130 150 15 30 30 40 998 170 30 20.0000 91.6000 SCS 55 980 3.50000 16 13 5
2017147N14087 2017 28 NI BB MORA 2017-05-29 21:00:00 TS 20.2513 91.7212 60 978 newdelhi main 85 30 P___O_________ IO022017 20.2026 91.8423 TY 75 966 1 115 125 125 135 12 30 30 35 997 175 27 20.3000 91.6000 SCS 60 978 3.50000 18 12 12
2017147N14087 2017 28 NI BB MORA 2017-05-30 00:00:00 TS 21.0000 91.9000 60 978 newdelhi main 30 0 O___O_________ jtwc_io IO022017 20.9000 92.0000 TY 80 963 1 100 120 120 120 10 30 30 30 5 20 20 20 997 180 25 21.1000 91.8000 SCS 60 978 3.50000 18 17 8
2017147N14087 2017 28 NI BB MORA 2017-05-30 03:00:00 TS 21.8988 91.9716 60 978 newdelhi main 0 0 P___O_________ IO022017 21.9975 92.0432 TY 67 971 1 100 120 120 120 10 30 30 30 997 180 25 21.8000 91.9000 SCS 60 978 3.50000 18 20 2
2017147N14087 2017 28 NI BB MORA 2017-05-30 06:00:00 TS 23.0000 92.0000 55 982 newdelhi main 0 0 O___O_________ jtwc_io IO022017 23.2000 92.1000 TS 55 980 0 100 120 120 120 10 30 30 30 997 180 25 22.8000 91.9000 SCS 55 982 0.00000 16 20 5
2017147N14087 2017 28 NI BB MORA 2017-05-30 09:00:00 TS 23.9274 92.1737 40 988 newdelhi main 0 0 P___O_________ IO022017 24.2548 92.2474 TS 47 986 0 100 120 120 120 998 180 30 23.6000 92.1000 CS 40 988 0.00000 10 17 11
2017147N14087 2017 28 NI BB MORA 2017-05-30 12:00:00 TS 24.6500 92.3500 30 990 newdelhi main 0 0 O___O_________ jtwc_io IO022017 25.1000 92.5000 TS 40 993 0 100 120 120 120 1000 180 35 24.2000 92.2000 DD 30 990 0.00000 6 13 16
2017147N14087 2017 28 NI BB MORA 2017-05-30 15:00:00 TS 25.1952 92.5802 main 0 0 P___P_________ IO022017 25.6404 92.8672 TS 35 996 0 50 60 60 60 1000 180 35 24.7500 92.2932 DD 25 992 5 11 24
2017147N14087 2017 28 NI BB MORA 2017-05-30 18:00:00 TS 25.6500 92.8500 20 994 newdelhi main 0 O___O_________ jtwc_io IO022017 26.0000 93.3000 TD 30 1000 -1 1000 180 35 25.3000 92.4000 D 20 994 0.00000 4 10 28

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 2024-03-25