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
2018288N17257 2018 98 EP MM TARA 2018-10-14 12:00:00 TS 17.0000 -102.800 30 1006 hurdat_epa main 113 105 O_____________ hurdat_epa EP222018 17.0000 -102.800 TD 30 1006 -1 1010 120 25 7 291
2018288N17257 2018 98 EP MM TARA 2018-10-14 15:00:00 TS 17.1151 -103.117 main 113 105 P_____________ EP222018 17.1151 -103.117 TD 30 1006 -1 1010 120 25 6 289
2018288N17257 2018 98 EP MM TARA 2018-10-14 18:00:00 TS 17.2000 -103.400 30 1006 hurdat_epa main 113 113 O_____________ hurdat_epa EP222018 17.2000 -103.400 TD 30 1006 -1 1010 120 25 40 5 285
2018288N17257 2018 98 EP MM TARA 2018-10-14 21:00:00 TS 17.2424 -103.623 main 119 113 P_____________ EP222018 17.2424 -103.623 TD 30 1005 -1 1009 115 25 4 285
2018288N17257 2018 98 EP MM TARA 2018-10-15 00:00:00 TS 17.3000 -103.800 30 1005 hurdat_epa main 116 109 O_____________ hurdat_epa EP222018 17.3000 -103.800 TD 30 1005 -1 1009 110 25 40 4 300
2018288N17257 2018 98 EP MM TARA 2018-10-15 03:00:00 TS 17.4350 -103.972 main 113 100 P_____________ EP222018 17.4350 -103.972 TD 32 1004 -1 1008 105 22 4 317
2018288N17257 2018 98 EP MM TARA 2018-10-15 06:00:00 TS 17.6000 -104.100 35 1003 hurdat_epa main 100 92 O_____________ hurdat_epa EP222018 17.6000 -104.100 TS 35 1003 0 30 30 1008 100 20 45 4 329
2018288N17257 2018 98 EP MM TARA 2018-10-15 09:00:00 TS 17.7500 -104.173 main 99 86 P_____________ EP222018 17.7500 -104.173 TS 37 1002 0 30 30 1008 95 17 3 343
2018288N17257 2018 98 EP MM TARA 2018-10-15 12:00:00 TS 17.9000 -104.200 40 1001 hurdat_epa main 86 81 O_____________ hurdat_epa EP222018 17.9000 -104.200 TS 40 1001 0 20 20 30 30 1008 90 15 50 12 30 3 0
2018288N17257 2018 98 EP MM TARA 2018-10-15 15:00:00 TS 18.0575 -104.200 main 77 71 P_____________ EP222018 18.0575 -104.200 TS 42 1000 0 20 20 25 25 1008 80 12 12 45 3 0
2018288N17257 2018 98 EP MM TARA 2018-10-15 18:00:00 TS 18.2000 -104.200 45 1000 hurdat_epa main 71 67 O_____________ hurdat_epa EP222018 18.2000 -104.200 TS 45 1000 0 20 20 20 20 1008 70 10 55 12 60 3 353
2018288N17257 2018 98 EP MM TARA 2018-10-15 21:00:00 TS 18.3150 -104.242 main 67 64 P_____________ EP222018 18.3150 -104.242 TS 50 997 0 20 20 20 20 5 5 5 5 1008 80 10 12 60 2 333
2018288N17257 2018 98 EP MM TARA 2018-10-16 00:00:00 TS 18.4000 -104.300 55 995 hurdat_epa main 64 64 O_____________ hurdat_epa EP222018 18.4000 -104.300 TS 55 995 0 20 20 20 20 10 10 10 10 1008 90 10 65 12 60 2 324
2018288N17257 2018 98 EP MM TARA 2018-10-16 03:00:00 TS 18.4500 -104.343 main 64 54 P_____________ EP222018 18.4500 -104.343 TS 52 996 0 20 20 20 20 10 10 10 10 1008 90 10 12 45 1 317
2018288N17257 2018 98 EP MM TARA 2018-10-16 06:00:00 TS 18.5000 -104.400 50 998 hurdat_epa main 56 45 O_____________ hurdat_epa EP222018 18.5000 -104.400 TS 50 998 0 20 20 20 20 10 10 10 10 1008 90 10 60 12 30 30 30 30 2 316
2018288N17257 2018 98 EP MM TARA 2018-10-16 09:00:00 TS 18.5925 -104.485 main 49 39 P_____________ EP222018 18.5925 -104.485 TS 45 999 0 20 20 20 20 1008 90 10 12 30 30 30 30 3 316
2018288N17257 2018 98 EP MM TARA 2018-10-16 12:00:00 TS 18.7000 -104.600 40 1001 hurdat_epa main 46 44 O_____________ hurdat_epa EP222018 18.7000 -104.600 TS 40 1001 0 20 20 20 20 1008 90 10 50 12 30 30 30 30 3 311
2018288N17257 2018 98 EP MM TARA 2018-10-16 15:00:00 TS 18.8025 -104.742 main 44 33 P_____________ EP222018 18.8025 -104.742 TS 37 1002 0 20 20 20 20 1008 90 10 12 30 30 30 30 3 305
2018288N17257 2018 98 EP MM TARA 2018-10-16 18:00:00 TS 18.9000 -104.900 35 1003 hurdat_epa main 35 O_____________ hurdat_epa EP222018 18.9000 -104.900 TS 35 1003 0 20 20 20 20 1008 90 10 45 12 30 30 30 30 4 303

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 2024-04-24