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
2017120S09102 2017 23 SI WA GREG 2017-04-29 12:00:00 NR -9.40000 101.900 20 bom main 465 465 ______O_______ -5 -9.40000 101.900 20 5 0
2017120S09102 2017 23 SI WA GREG 2017-04-29 15:00:00 NR -9.62502 101.895 main 480 480 ______P_______ -5 -9.62502 101.895 25 4 0
2017120S09102 2017 23 SI WA GREG 2017-04-29 18:00:00 NR -9.80000 101.900 30 bom main 494 494 ______O_______ -5 -9.80000 101.900 30 45 45 3 0
2017120S09102 2017 23 SI WA GREG 2017-04-29 21:00:00 NR -9.89994 101.902 main 502 502 ______P_______ -5 -9.89994 101.902 30 2 207
2017120S09102 2017 23 SI WA GREG 2017-04-30 00:00:00 NR -10.0000 101.800 30 1006 bom main 518 518 ______O_______ -5 -10.0000 101.800 30 1006 2.50000 2.50000 19 90 1012 45 45 5 232
2017120S09102 2017 23 SI WA GREG 2017-04-30 03:00:00 NR -10.2000 101.510 main 557 557 ______P_______ -5 -10.2000 101.510 32 1004 17 84 1012 8 240
2017120S09102 2017 23 SI WA GREG 2017-04-30 06:00:00 NR -10.4000 101.100 35 1002 bom main 605 605 ______O_______ -5 -10.4000 101.100 35 1002 3.00000 3.00000 15 79 1012 49 49 9 248
2017120S09102 2017 23 SI WA GREG 2017-04-30 09:00:00 NR -10.5375 100.658 main 645 645 ______P_______ -5 -10.5375 100.658 35 999 15 69 1011 9 257
2017120S09102 2017 23 SI WA GREG 2017-04-30 12:00:00 NR -10.6000 100.200 35 997 bom main 695 695 ______O_______ -5 -10.6000 100.200 35 997 3.00000 3.00000 15 59 1010 49 49 8 268
2017120S09102 2017 23 SI WA GREG 2017-04-30 15:00:00 NR -10.5722 99.8299 main 730 730 ______P_______ -5 -10.5722 99.8299 35 998 15 69 1011 8 277
2017120S09102 2017 23 SI WA GREG 2017-04-30 18:00:00 NR -10.5000 99.4000 35 1000 bom main 760 760 ______O_______ -5 -10.5000 99.4000 35 1000 2.50000 3.00000 15 19 50 50 19 79 1012 49 49 11 277
2017120S09102 2017 23 SI WA GREG 2017-04-30 21:00:00 NR -10.4353 98.7424 main 806 806 ______P_______ -5 -10.4353 98.7424 32 1003 48 48 79 1012 13 274
2017120S09102 2017 23 SI WA GREG 2017-05-01 00:00:00 NR -10.4000 98.1000 30 1006 bom main 846 846 ______V_______ -5 -10.4000 98.1000 30 1006 47 47 79 1012 10 270
2017120S09102 2017 23 SI WA GREG 2017-05-01 03:00:00 NR -10.4298 97.6776 main 875 875 ______P_______ -5 -10.4298 97.6776 32 45 45 7 262
2017120S09102 2017 23 SI WA GREG 2017-05-01 06:00:00 NR -10.5000 97.4000 35 bom main 905 ______O_______ -5 -10.5000 97.4000 35 44 44 6 256

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 2024-04-23