Map

Track Data

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
2017300N10271 2017 91 EP MM SELMA 2017-10-26 18:00:00 DS 10.3000 -88.6000 30 1005 hurdat_epa main 284 284 O_____________ hurdat_epa EP202017 10.3000 -88.6000 LO 30 1005 -3 1009 120 60 3 263
2017300N10271 2017 91 EP MM SELMA 2017-10-26 21:00:00 DS 10.2825 -88.7450 main 292 292 P_____________ EP202017 10.2825 -88.7450 LO 30 1005 -3 1009 120 60 3 270
2017300N10271 2017 91 EP MM SELMA 2017-10-27 00:00:00 TS 10.3000 -88.9000 30 1005 hurdat_epa main 306 305 O_____________ hurdat_epa EP202017 10.3000 -88.9000 TD 30 1005 -1 1009 120 60 3 287
2017300N10271 2017 91 EP MM SELMA 2017-10-27 03:00:00 TS 10.3775 -89.0650 main 312 305 P_____________ EP202017 10.3775 -89.0650 TD 32 1004 -1 1009 120 45 4 304
2017300N10271 2017 91 EP MM SELMA 2017-10-27 06:00:00 TS 10.5000 -89.2000 35 1004 hurdat_epa main 305 294 O_____________ hurdat_epa EP202017 10.5000 -89.2000 TS 35 1004 0 40 1009 120 30 45 3 321
2017300N10271 2017 91 EP MM SELMA 2017-10-27 09:00:00 TS 10.6275 -89.2725 main 296 274 P_____________ EP202017 10.6275 -89.2725 TS 35 1004 0 40 1008 120 30 3 343
2017300N10271 2017 91 EP MM SELMA 2017-10-27 12:00:00 TS 10.8000 -89.3000 35 1004 hurdat_epa main 274 252 O_____________ hurdat_epa EP202017 10.8000 -89.3000 TS 35 1004 0 40 1008 120 30 45 12 90 90 4 353
2017300N10271 2017 91 EP MM SELMA 2017-10-27 15:00:00 TS 11.0200 -89.3225 main 252 219 P_____________ EP202017 11.0200 -89.3225 TS 35 1004 0 40 1008 120 30 12 75 75 5 2
2017300N10271 2017 91 EP MM SELMA 2017-10-27 18:00:00 TS 11.3000 -89.3000 35 1004 hurdat_epa main 219 184 O_____________ hurdat_epa EP202017 11.3000 -89.3000 TS 35 1004 0 30 40 1008 120 30 45 12 30 60 60 30 6 11
2017300N10271 2017 91 EP MM SELMA 2017-10-27 21:00:00 TS 11.6350 -89.2076 main 184 138 P_____________ EP202017 11.6350 -89.2076 TS 35 1004 0 30 40 1008 120 30 12 30 60 60 30 7 16
2017300N10271 2017 91 EP MM SELMA 2017-10-28 00:00:00 TS 12.0000 -89.1000 35 1004 hurdat_epa main 138 103 O_____________ hurdat_epa EP202017 12.0000 -89.1000 TS 35 1004 0 30 40 1008 120 30 45 12 30 60 60 30 7 13
2017300N10271 2017 91 EP MM SELMA 2017-10-28 03:00:00 TS 12.3385 -89.0344 main 103 60 P_____________ EP202017 12.3385 -89.0344 TS 35 1004 0 30 40 1008 110 25 7 8
2017300N10271 2017 91 EP MM SELMA 2017-10-28 06:00:00 TS 12.7000 -89.0000 35 1004 hurdat_epa main 60 24 O_____________ hurdat_epa EP202017 12.7000 -89.0000 TS 35 1004 0 30 40 1008 100 20 45 8 3
2017300N10271 2017 91 EP MM SELMA 2017-10-28 09:00:00 TS 13.1432 -88.9963 main 24 0 P_____________ EP202017 13.1432 -88.9963 TS 35 1004 0 40 1008 100 20 8 0
2017300N10271 2017 91 EP MM SELMA 2017-10-28 11:00:00 TS 13.4000 -89.0000 35 1004 hurdat_epa main 0 0 O_____________ hurdat_epa EP202017 13.4000 -89.0000 L TS 35 1004 0 40 1008 100 20 7 0
2017300N10271 2017 91 EP MM SELMA 2017-10-28 12:00:00 TS 13.5000 -89.0000 30 1005 hurdat_epa main 0 O_____________ hurdat_epa EP202017 13.5000 -89.0000 TD 30 1005 -1 1008 100 20 40 6 0

About IBTrACS Database

This database is a web-friendly format of International Best Track Archive for Climate Stewardship (IBTrACS), a global best track data archive curated by NOAA dating back to 1842.

Updated: 2021-12-08