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
2019272N14261 2019 75 EP MM NARDA 2019-09-28 12:00:00 NR 14.4000 -99.4000 30 1004 hurdat_epa main 229 223 O_____________ hurdat_epa EP162019 14.4000 -99.4000 DB 30 1004 -3 1008 150 50 40 3 301
2019272N14261 2019 75 EP MM NARDA 2019-09-28 15:00:00 NR 14.4850 -99.5424 main 223 218 P_____________ EP162019 14.4850 -99.5424 DB 32 1004 -3 1008 150 50 4 304
2019272N14261 2019 75 EP MM NARDA 2019-09-28 18:00:00 NR 14.6000 -99.7000 35 1004 hurdat_epa main 223 213 O_____________ hurdat_epa EP162019 14.6000 -99.7000 DB 35 1004 -3 120 1008 150 50 45 4 312
2019272N14261 2019 75 EP MM NARDA 2019-09-28 21:00:00 NR 14.7825 -99.8852 main 213 184 P_____________ EP162019 14.7825 -99.8852 DB 35 1002 -3 120 1006 135 50 6 322
2019272N14261 2019 75 EP MM NARDA 2019-09-29 00:00:00 TS 15.1000 -100.100 35 1000 hurdat_epa main 184 138 O_____________ hurdat_epa EP162019 15.1000 -100.100 TS 35 1000 0 120 1005 120 50 45 12 120 9 333
2019272N14261 2019 75 EP MM NARDA 2019-09-29 03:00:00 TS 15.5823 -100.305 main 138 99 P_____________ EP162019 15.5823 -100.305 TS 37 999 0 110 1005 120 50 12 120 12 336
2019272N14261 2019 75 EP MM NARDA 2019-09-29 06:00:00 TS 16.2000 -100.600 40 999 hurdat_epa main 99 39 O_____________ hurdat_epa EP162019 16.2000 -100.600 TS 40 999 0 100 60 1006 120 50 50 12 120 15 332
2019272N14261 2019 75 EP MM NARDA 2019-09-29 09:00:00 TS 16.9039 -101.044 main 39 10 P_____________ EP162019 16.9039 -101.044 TS 40 998 0 100 60 1006 120 50 12 135 17 326
2019272N14261 2019 75 EP MM NARDA 2019-09-29 12:00:00 TS 17.6000 -101.600 40 998 hurdat_epa main 10 0 O_____________ hurdat_epa EP162019 17.6000 -101.600 TS 40 998 0 100 60 1006 120 50 50 12 75 150 180 17 320
2019272N14261 2019 75 EP MM NARDA 2019-09-29 14:00:00 TS 18.0000 -102.000 40 998 hurdat_epa main 0 0 V_____________ hurdat_epa EP162019 18.0000 -102.000 L TS 40 998 0 100 60 1006 120 50 12 220 200 17 314
2019272N14261 2019 75 EP MM NARDA 2019-09-29 15:00:00 TS 18.1878 -102.234 main 0 0 P_____________ EP162019 18.1878 -102.234 TS 38 998 0 100 57 1006 120 57 12 255 210 18 306
2019272N14261 2019 75 EP MM NARDA 2019-09-29 18:00:00 TS 18.7000 -103.000 35 1000 hurdat_epa main 0 0 O_____________ hurdat_epa EP162019 18.7000 -103.000 TS 35 1000 0 100 50 1006 120 80 45 12 360 240 17 305
2019272N14261 2019 75 EP MM NARDA 2019-09-29 21:00:00 TS 19.1494 -103.697 main 0 0 P_____________ EP162019 19.1494 -103.697 TS 35 1000 0 50 1006 120 65 12 270 15 306
2019272N14261 2019 75 EP MM NARDA 2019-09-30 00:00:00 TS 19.6000 -104.300 35 1000 hurdat_epa main 0 0 O_____________ hurdat_epa EP162019 19.6000 -104.300 TS 35 1000 0 50 1006 120 50 40 12 180 14 313
2019272N14261 2019 75 EP MM NARDA 2019-09-30 03:00:00 TS 20.1123 -104.803 main 0 0 P_____________ EP162019 20.1123 -104.803 TS 35 1000 0 45 1006 120 50 12 165 14 322
2019272N14261 2019 75 EP MM NARDA 2019-09-30 06:00:00 TS 20.7000 -105.200 35 1000 hurdat_epa main 0 0 O_____________ hurdat_epa EP162019 20.7000 -105.200 TS 35 1000 0 20 40 1006 120 50 40 12 150 14 334
2019272N14261 2019 75 EP MM NARDA 2019-09-30 09:00:00 TS 21.3693 -105.457 main 24 10 P_____________ EP162019 21.3693 -105.457 TS 37 999 0 35 40 1005 105 45 15 338
2019272N14261 2019 75 EP MM NARDA 2019-09-30 12:00:00 TS 22.1000 -105.800 40 998 hurdat_epa main 20 20 O_____________ hurdat_epa EP162019 22.1000 -105.800 TS 40 998 0 40 50 40 1005 90 40 45 18 326
2019272N14261 2019 75 EP MM NARDA 2019-09-30 15:00:00 TS 22.8282 -106.505 main 37 30 P_____________ EP162019 22.8282 -106.505 TS 42 997 0 35 55 40 1005 105 40 20 317
2019272N14261 2019 75 EP MM NARDA 2019-09-30 18:00:00 TS 23.6000 -107.300 45 997 hurdat_epa main 45 22 O_____________ hurdat_epa EP162019 23.6000 -107.300 TS 45 997 0 30 60 40 1006 120 40 55 21 321
2019272N14261 2019 75 EP MM NARDA 2019-09-30 21:00:00 TS 24.4421 -107.938 main 22 0 P_____________ EP162019 24.4421 -107.938 TS 45 997 0 25 60 40 1006 120 35 20 327
2019272N14261 2019 75 EP MM NARDA 2019-10-01 00:00:00 TS 25.3000 -108.500 45 997 hurdat_epa main 0 0 O_____________ hurdat_epa EP162019 25.3000 -108.500 L TS 45 997 0 20 60 40 1006 120 30 55 19 330
2019272N14261 2019 75 EP MM NARDA 2019-10-01 03:00:00 TS 26.1153 -109.011 main 0 0 P_____________ EP162019 26.1153 -109.011 TS 37 999 0 10 30 20 1006 120 30 18 331
2019272N14261 2019 75 EP MM NARDA 2019-10-01 06:00:00 TS 26.9000 -109.500 30 1002 hurdat_epa main 0 O_____________ hurdat_epa EP162019 26.9000 -109.500 TD 30 1002 -1 1006 120 30 18 331

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.

Data provided by NOAA IBTrACS (International Best Track Archive for Climate Stewardship), accessed on 2024-03-28