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
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-08 09:00:00 NR 9.40000 62.2000 25 1002 newdelhi main 914 844 ____O_________ -1 9.40000 62.2000 D 25 1002 1.50000 4 13 289
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-08 12:00:00 NR 9.60000 61.6000 25 1002 newdelhi main 844 805 ____O_________ -1 9.60000 61.6000 D 25 1002 1.50000 4 10 293
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-08 15:00:00 NR 9.79984 61.2385 main 795 766 ____P_________ -1 9.79984 61.2385 D 25 1002 4 7 304
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-08 18:00:00 NR 10.0000 61.0000 25 1002 newdelhi main 766 727 ____O_________ -1 10.0000 61.0000 D 25 1002 1.50000 4 7 310
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-08 21:00:00 NR 10.2204 60.7204 main 727 688 ____P_________ -1 10.2204 60.7204 D 27 1001 5 7 304
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-09 00:00:00 NR 10.4000 60.4000 30 1000 newdelhi main 688 644 ____O_________ -1 10.4000 60.4000 DD 30 1000 2.00000 6 8 292
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-09 03:00:00 NR 10.5000 60.0000 30 1000 newdelhi main 644 579 ____O_________ -1 10.5000 60.0000 DD 30 1000 2.00000 6 10 281
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-09 06:00:00 NR 10.6000 59.4000 30 1000 newdelhi main 579 539 ____O_________ -1 10.6000 59.4000 DD 30 1000 2.00000 6 10 277
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-09 09:00:00 NR 10.6201 58.9601 main 539 490 ____P_________ -1 10.6201 58.9601 DD 27 1001 5 9 270
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-09 12:00:00 NR 10.6000 58.5000 25 1002 newdelhi main 490 423 ____O_________ -1 10.6000 58.5000 D 25 1002 1.50000 4 12 269
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-09 15:00:00 NR 10.6002 57.7800 main 423 352 ____P_________ -1 10.6002 57.7800 D 25 1002 4 15 270
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-09 18:00:00 NR 10.6000 57.0000 25 1002 newdelhi main 352 297 ____O_________ -1 10.6000 57.0000 D 25 1002 1.50000 4 15 270
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-09 21:00:00 NR 10.5999 56.3057 main 297 259 ____P_________ -1 10.5999 56.3057 D 25 1002 4 13 270
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-10 00:00:00 NR 10.6000 55.7000 25 1002 newdelhi main 259 231 ____O_________ -1 10.6000 55.7000 D 25 1002 1.50000 4 11 270
2019342N09062 2019 104 NI AS NOT_NAMED 2019-12-10 03:00:00 NR 10.6000 55.2000 25 1002 newdelhi main 231 ____O_________ -1 10.6000 55.2000 D 25 1002 1.50000 4 10 270

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: 2021-10-08