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
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-08 12:00:00 TS 16.5000 113.400 main 400 384 __O___________ -1 16.5000 113.400 1 25 1004 8 246
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-08 15:00:00 TS 16.3302 113.005 main 384 364 __P___________ -1 16.3302 113.005 1 25 1003 8 249
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-08 18:00:00 TS 16.2000 112.600 main 364 344 __O___________ -1 16.2000 112.600 1 25 1002 8 257
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-08 21:00:00 TS 16.1473 112.172 main 347 311 __P___________ -1 16.1473 112.172 1 25 1002 8 271
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-09 00:00:00 TS 16.2167 111.783 main 311 262 O_OO__________ jtwc_wp WP232017 16.6000 111.900 DB 20 1006 -3 1006 180 45 16.2000 111.700 1 25 1002 15.9000 112.000 TD 25 1000 10 286
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-09 03:00:00 TS 16.4056 111.221 main 256 202 P_PP__________ WP232017 16.7427 111.188 DB 22 1004 -3 1005 180 47 16.3548 111.180 1 25 1002 16.1702 111.337 TD 25 1000 13 290
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-09 06:00:00 TS 16.6600 110.540 main 188 145 O_OO__________ jtwc_wp WP232017 16.9000 110.400 TD 25 1003 -1 1004 180 50 16.6000 110.600 1 25 1002 16.5000 110.600 TD 25 1000 15 292
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-09 09:00:00 TS 16.9641 109.744 main 134 116 P_PP__________ WP232017 17.0852 109.500 TD 25 1002 -1 1004 180 50 16.8921 109.995 1 27 1001 16.9149 109.738 TD 25 1000 17 291
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-09 12:00:00 TS 17.2667 108.900 main 119 109 O_OO__________ jtwc_wp WP232017 17.3000 108.600 TD 25 1002 -1 1004 180 50 17.2000 109.300 1 29 1000 17.3000 108.800 TD 25 1000 17 288
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-09 15:00:00 TS 17.4974 108.037 main 105 69 P_PP__________ WP232017 17.5344 107.827 TD 27 1001 -1 1004 170 50 17.4424 108.487 1 29 1000 17.5154 107.797 TD 25 1000 17 286
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-09 18:00:00 TS 17.7364 107.227 main 61 10 O_OO__________ jtwc_wp WP232017 17.8000 107.100 TD 30 1000 -1 1004 160 50 17.7000 107.600 1 29 1000 17.7000 106.900 TD 25 1000 15 289
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-09 21:00:00 TS 18.0113 106.506 main 10 0 P_PP__________ WP232017 18.0766 106.394 TD 30 999 -1 1004 160 50 17.9668 106.736 1 29 999 17.9697 106.268 TD 25 1000 16 294
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-10 00:00:00 TS 18.3875 105.725 main 0 0 O_OO__________ jtwc_wp WP232017 18.4000 105.600 TD 30 999 -1 1004 160 50 18.4000 105.800 1 29 998 18.3000 105.800 TD 25 1000 20 300
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-10 03:00:00 TS 19.0218 104.666 main 0 0 P_P___________ WP232017 18.7843 104.611 TD 25 1003 -1 1004 160 50 19.1405 104.694 1 27 1001 TD 25 305
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-10 06:00:00 TS 19.8000 103.575 main 0 0 O_O___________ jtwc_wp WP232017 19.2000 103.500 DB 20 1007 -3 1004 160 50 20.0000 103.600 1 25 1004 26 313
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-10 09:00:00 TS 20.7824 102.690 main 0 0 __P___________ WP232017 DB -3 20.7824 102.690 1 22 1005 23 317
2017282N17113 2017 85 WP MM NOT_NAMED 2017-10-10 12:00:00 TS 21.5000 101.900 main 0 __O___________ -1 21.5000 101.900 0 19 1006 21 314

Digital Typhoon Data and Search

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: 2021-10-19