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
2017236N15129 2017 63 WP MM PAKHAR 2017-08-24 00:00:00 MX 15.3 128.8 1010 tokyo main 497 452 OOO____________ jtwc_wp WP162017 15.7 128.9 WV 20 1008 -3 1008 150 14.9 128.9 2 1010 0 0 0 15.4 128.7 1 25 1006 11 275
2017236N15129 2017 63 WP MM PAKHAR 2017-08-24 03:00:00 MX 15.4 128.2 main 442 383 PPP____________ WP162017 15.5 128.3 WV 23 1006 -3 1008 165 15.2 128.3 2 1009 0 0 15.5 128.1 1 27 1005 12 275
2017236N15129 2017 63 WP MM PAKHAR 2017-08-24 06:00:00 MX 15.4 127.6 1008 tokyo main 383 317 OOO____________ jtwc_wp WP162017 15.3 127.7 WV 25 1004 -3 1008 180 30 15.4 127.6 2 1008 0 0 0 15.6 127.5 1 29 1004 13 270
2017236N15129 2017 63 WP MM PAKHAR 2017-08-24 09:00:00 MX 15.4 126.9 main 317 256 PPP____________ WP162017 15.2 127.1 WV 28 1004 -3 1007 180 30 15.4 126.8 2 1007 0 0 15.6 126.7 1 32 1001 14 265
2017236N15129 2017 63 WP MM PAKHAR 2017-08-24 12:00:00 TS 15.4 126.2 1006 tokyo main 256 186 OOOOO__________ jtwc_wp WP162017 15.2 126.4 TD 30 1003 -1 1006 180 30 15.3 126.0 2 1006 0 0 0 15.5 126.0 2 34 998 15.5 126.2 TD 25 1000 15.5 126.3 TD 23 1004 13 260
2017236N15129 2017 63 WP MM PAKHAR 2017-08-24 15:00:00 TS 15.2 125.5 main 186 139 PPPPP__________ WP162017 15.1 125.5 TD 33 1000 -1 1008 185 20 15.2 125.4 2 1003 0 0 15.2 125.5 2 36 997 15.4 125.6 TD 28 999 15.4 125.6 TD 29 1002 12 260
2017236N15129 2017 63 WP MM PAKHAR 2017-08-24 18:00:00 TS 15.1 124.9 35 1000 tokyo main 139 112 OOOOO__________ jtwc_wp WP162017 15.0 124.7 TS 35 996 0 25 15 10 20 1009 190 10 15.1 124.9 3 35 1000 0 9 150 150 0 15.0 125.0 2 38 995 15.3 125.0 TD 30 998 15.2 125.0 TS 35 1000 45.0000 81 54 11 260
2017236N15129 2017 63 WP MM PAKHAR 2017-08-24 21:00:00 TS 15.0 124.4 main 112 111 PPPPP__________ WP162017 15.1 124.3 TS 35 996 0 33 23 20 28 1009 175 15 15.0 124.4 3 38 998 0 9 150 150 14.9 124.4 2 38 995 15.1 124.4 TD 33 996 15.1 124.5 TS 36 999 45.0000 81 54 9 265
2017236N15129 2017 63 WP MM PAKHAR 2017-08-25 00:00:00 TS 15.0 123.9 40 996 tokyo main 114 114 OOOOO__________ jtwc_wp WP162017 15.2 124.0 TS 35 996 0 40 30 30 35 1008 160 20 15.0 123.9 3 40 996 0 9 150 150 0 15.0 123.9 2 38 995 15.0 123.9 TS 35 994 15.0 124.0 TS 37 998 225.000 81 54 50 9 280
2017236N15129 2017 63 WP MM PAKHAR 2017-08-25 03:00:00 TS 15.2 123.5 main 129 124 PPPPP__________ WP162017 15.4 123.6 TS 38 995 0 33 28 30 35 1008 160 20 15.1 123.4 3 40 996 0 9 150 150 15.2 123.4 2 41 993 15.2 123.4 TS 38 992 15.1 123.5 TS 40 996 225.000 81 54 10 295
2017236N15129 2017 63 WP MM PAKHAR 2017-08-25 06:00:00 TS 15.4 123.0 40 996 tokyo main 123 77 OOOOO__________ jtwc_wp WP162017 15.6 123.1 TS 40 993 0 25 25 30 35 1008 160 20 15.4 123.0 3 40 996 0 9 150 150 0 15.4 123.0 2 44 990 15.5 123.0 TS 40 990 15.3 123.1 TS 43 994 247.000 81 54 45 9 305
2017236N15129 2017 63 WP MM PAKHAR 2017-08-25 09:00:00 TS 15.7 122.7 main 77 24 PPPPP__________ WP162017 15.8 122.7 TS 43 991 0 25 28 33 35 1008 160 20 15.7 122.6 3 43 995 0 9 150 150 15.7 122.7 2 44 990 15.7 122.7 TS 40 990 15.6 122.7 TS 43 994 247.000 81 54 9 305
2017236N15129 2017 63 WP MM PAKHAR 2017-08-25 12:00:00 TS 16.0 122.3 45 994 tokyo main 24 0 OOOOO__________ jtwc_wp WP162017 16.1 122.2 TS 45 989 0 25 30 35 35 1008 160 20 16.0 122.2 3 45 994 0 9 150 150 0 16.0 122.3 2 44 990 16.0 122.3 TS 40 990 15.9 122.3 TS 43 994 315.000 81 54 11 310
2017236N15129 2017 63 WP MM PAKHAR 2017-08-25 15:00:00 TS 16.4 121.8 main 0 0 PPPPP__________ WP162017 16.5 121.7 TS 40 995 0 25 30 35 35 1007 155 20 16.4 121.8 3 43 996 0 9 150 150 16.3 121.8 2 44 990 16.3 121.8 TS 40 990 16.2 121.9 TS 43 994 315.000 81 54 13 305
2017236N15129 2017 63 WP MM PAKHAR 2017-08-25 18:00:00 TS 16.7 121.2 40 998 tokyo main 0 0 OOOOO__________ jtwc_wp WP162017 17.0 121.0 TS 35 1000 0 25 30 35 35 1005 150 20 16.7 121.2 3 40 998 0 9 150 150 0 16.7 121.2 2 44 990 16.7 121.2 TS 40 990 16.6 121.4 TS 43 994 135.000 81 54 15 300
2017236N15129 2017 63 WP MM PAKHAR 2017-08-25 21:00:00 TS 17.1 120.5 main 0 0 PPPPP__________ WP162017 17.4 120.2 TS 35 998 0 50 38 58 63 1005 145 20 17.0 120.4 3 40 997 0 9 180 180 17.1 120.6 2 41 993 17.1 120.5 TS 38 992 16.9 120.5 TS 43 994 135.000 81 54 17 295
2017236N15129 2017 63 WP MM PAKHAR 2017-08-26 00:00:00 TS 17.5 119.6 40 996 tokyo main 75 75 OOOOO__________ jtwc_wp WP162017 17.8 119.4 TS 35 996 0 75 45 80 90 1005 140 20 17.2 119.5 3 40 996 0 9 210 210 0 17.5 119.9 2 38 995 17.5 119.8 TS 35 994 17.3 119.6 TS 43 994 135.000 81 54 16 295
2017236N15129 2017 63 WP MM PAKHAR 2017-08-26 03:00:00 TS 17.8 118.9 main 150 150 PPOPP__________ WP162017 18.1 118.7 TS 38 995 0 70 50 80 90 1005 140 23 17.5 118.8 3 40 995 0 9 210 210 17.8 119.2 2 38 995 17.8 119.0 TS 38 992 17.7 118.9 TS 43 994 135.000 89 62 16 295
2017236N15129 2017 63 WP MM PAKHAR 2017-08-26 06:00:00 TS 18.2 118.2 40 994 tokyo main 232 232 OOOOO__________ jtwc_wp WP162017 18.5 118.0 TS 40 993 0 65 55 80 90 1005 140 25 17.9 118.1 3 40 994 0 9 210 210 0 18.1 118.4 2 44 990 18.2 118.1 TS 40 990 18.1 118.2 TS 43 994 202.000 97 70 17 300
2017236N15129 2017 63 WP MM PAKHAR 2017-08-26 09:00:00 TS 18.7 117.4 main 330 330 PPOPP__________ WP162017 19.0 117.1 TS 43 994 0 90 85 73 95 1005 145 25 18.4 117.5 3 43 993 0 9 255 255 18.6 117.6 2 44 990 18.8 117.3 TS 45 988 18.6 117.5 TS 44 993 202.000 103 76 18 305
2017236N15129 2017 63 WP MM PAKHAR 2017-08-26 12:00:00 TS 19.2 116.6 45 992 tokyo main 400 305 OOOOO__________ jtwc_wp WP162017 19.5 116.2 TS 45 995 0 115 115 65 100 1004 150 25 19.0 116.8 3 45 992 0 9 300 300 0 19.1 116.7 2 44 990 19.4 116.5 STS 50 985 19.1 116.8 TS 45 992 202.000 108 81 20 310
2017236N15129 2017 63 WP MM PAKHAR 2017-08-26 15:00:00 TS 19.9 115.8 main 305 203 PPOPP__________ WP162017 20.1 115.5 TS 48 990 0 118 108 68 103 1004 145 25 19.8 115.8 3 48 991 0 9 285 285 19.9 115.9 3 54 982 20.0 115.7 STS 53 984 19.8 116.0 TS 49 989 202.000 116 89 21 310
2017236N15129 2017 63 WP MM PAKHAR 2017-08-26 18:00:00 TS 20.6 114.9 50 990 tokyo main 199 122 OOOOO__________ jtwc_wp WP162017 20.7 114.8 TS 50 985 0 120 100 70 105 1003 140 25 20.6 114.8 4 50 990 0 9 270 270 0 20.7 115.1 3 54 982 20.7 114.9 STS 55 982 20.5 115.1 STS 52 985 247.000 38 27 247.000 124 97 20 310
2017236N15129 2017 63 WP MM PAKHAR 2017-08-26 21:00:00 TS 21.2 114.2 main 123 35 PPOPP__________ WP162017 21.3 114.1 TS 55 984 0 110 100 68 103 1003 140 25 21.2 114.1 4 53 988 0 9 270 225 21.2 114.4 3 58 980 21.3 114.2 STS 58 981 21.2 114.3 STS 52 985 247.000 38 27 247.000 124 95 19 310
2017236N15129 2017 63 WP MM PAKHAR 2017-08-27 00:00:00 TS 21.9 113.4 55 985 tokyo main 24 0 OOOOO__________ jtwc_wp WP162017 21.9 113.4 TS 60 983 0 100 100 65 100 50 50 20 40 1003 140 25 21.8 113.4 4 55 985 9 30 30 3 270 180 0 21.9 113.4 3 58 980 21.9 113.4 STS 60 980 21.8 113.4 STS 52 985 337.000 38 27 315.000 124 92 21 310
2017236N15129 2017 63 WP MM PAKHAR 2017-08-27 03:00:00 TS 22.5 112.5 main 0 0 PPPPP__________ WP162017 22.6 112.6 TS 50 988 0 100 100 65 100 1003 140 25 22.7 112.3 4 48 991 9 3 255 165 22.4 112.5 3 48 986 22.4 112.6 STS 50 985 22.5 112.5 STS 46 989 337.000 315.000 122 92 21 305
2017236N15129 2017 63 WP MM PAKHAR 2017-08-27 06:00:00 TS 23.1 111.6 40 996 tokyo main 0 0 OOOOO__________ jtwc_wp WP162017 23.2 111.7 TS 40 993 0 100 100 65 100 1003 140 25 23.6 111.3 3 40 996 0 4 240 150 0 22.8 111.6 2 38 992 22.8 111.7 TS 40 990 23.0 111.6 TS 39 992 337.000 119 92 19 300
2017236N15129 2017 63 WP MM PAKHAR 2017-08-27 09:00:00 TS 23.5 110.7 main 0 0 PPPPP__________ WP162017 23.7 110.9 TS 33 999 -1 1003 140 25 24.1 110.6 3 38 997 0 4 210 135 23.0 110.7 2 34 996 23.1 110.9 TS 33 995 23.3 110.6 TS 34 995 337.000 16 290
2017236N15129 2017 63 WP MM PAKHAR 2017-08-27 12:00:00 TS 23.7 109.9 35 998 tokyo main 0 0 OOOOO__________ jtwc_wp WP162017 24.0 110.1 TD 25 1004 -1 1003 140 25 24.3 110.0 3 35 998 0 3 180 120 0 23.1 109.9 1 29 1000 23.3 110.1 TD 25 1000 23.5 109.6 TD 29 998 14 290
2017236N15129 2017 63 WP MM PAKHAR 2017-08-27 15:00:00 TS 23.9 109.3 main 0 0 _PP____________ WP162017 TD -5 24.6 109.4 3 1000 0 3 23.3 109.1 1 27 1001 TD TD 13 285
2017236N15129 2017 63 WP MM PAKHAR 2017-08-27 18:00:00 TS 24.1 108.6 1002 tokyo main 0 0 _OO____________ -5 24.7 108.8 2 1002 0 0 0 23.4 108.4 1 25 1002 12 275
2017236N15129 2017 63 WP MM PAKHAR 2017-08-27 21:00:00 TS 24.0 108.0 main 0 0 _PP____________ -5 24.5 108.4 2 1003 0 0 23.5 107.6 1 22 1003 12 260
2017236N15129 2017 63 WP MM PAKHAR 2017-08-28 00:00:00 MX 23.9 107.4 1004 tokyo main 0 _OO____________ -5 24.1 108.0 2 1004 0 0 0 23.6 106.7 0 19 1004 12 255

デジタル台風データ・検索

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 2025-02-12