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
2019203N15244 2019 36 EP MM DALILA 2019-07-22 06:00:00 TS 14.7000 -116.200 30 1006 hurdat_epa main 1125 1088 O_____________ hurdat_epa EP052019 14.7000 -116.200 TD 30 1006 -1 1010 200 50 40 9 354
2019203N15244 2019 36 EP MM DALILA 2019-07-22 09:00:00 TS 15.1450 -116.242 main 1088 1050 P_____________ EP052019 15.1450 -116.242 TD 30 1006 -1 1010 200 50 9 354
2019203N15244 2019 36 EP MM DALILA 2019-07-22 12:00:00 TS 15.6000 -116.300 30 1006 hurdat_epa main 1050 1022 O_____________ hurdat_epa EP052019 15.6000 -116.300 TD 30 1006 -1 1010 200 50 40 9 351
2019203N15244 2019 36 EP MM DALILA 2019-07-22 15:00:00 TS 16.0650 -116.385 main 1013 987 P_____________ EP052019 16.0650 -116.385 TD 30 1006 -1 1010 200 50 9 348
2019203N15244 2019 36 EP MM DALILA 2019-07-22 18:00:00 TS 16.5000 -116.500 30 1006 hurdat_epa main 987 962 O_____________ hurdat_epa EP052019 16.5000 -116.500 TD 30 1006 -1 1010 200 50 40 9 343
2019203N15244 2019 36 EP MM DALILA 2019-07-22 21:00:00 TS 16.8725 -116.643 main 962 954 P_____________ EP052019 16.8725 -116.643 TD 30 1006 -1 1010 200 55 8 338
2019203N15244 2019 36 EP MM DALILA 2019-07-23 00:00:00 TS 17.2000 -116.800 30 1006 hurdat_epa main 954 939 O_____________ hurdat_epa EP052019 17.2000 -116.800 TD 30 1006 -1 1010 200 60 40 7 335
2019203N15244 2019 36 EP MM DALILA 2019-07-23 03:00:00 TS 17.5150 -116.950 main 947 928 P_____________ EP052019 17.5150 -116.950 TD 32 1005 -1 1010 200 60 7 335
2019203N15244 2019 36 EP MM DALILA 2019-07-23 06:00:00 TS 17.8000 -117.100 35 1005 hurdat_epa main 928 916 O_____________ hurdat_epa EP052019 17.8000 -117.100 TS 35 1005 0 80 80 1010 200 60 45 6 333
2019203N15244 2019 36 EP MM DALILA 2019-07-23 09:00:00 TS 18.0575 -117.243 main 907 901 P_____________ EP052019 18.0575 -117.243 TS 37 1004 0 80 80 1010 200 60 6 330
2019203N15244 2019 36 EP MM DALILA 2019-07-23 12:00:00 TS 18.3000 -117.400 40 1004 hurdat_epa main 901 889 O_____________ hurdat_epa EP052019 18.3000 -117.400 TS 40 1004 0 80 80 1011 200 60 45 6 326
2019203N15244 2019 36 EP MM DALILA 2019-07-23 15:00:00 TS 18.5575 -117.593 main 887 883 P_____________ EP052019 18.5575 -117.593 TS 40 1004 0 80 80 1011 190 60 6 323
2019203N15244 2019 36 EP MM DALILA 2019-07-23 18:00:00 TS 18.8000 -117.800 40 1005 hurdat_epa main 883 881 O_____________ hurdat_epa EP052019 18.8000 -117.800 TS 40 1005 0 80 80 1012 180 60 45 12 80 80 6 319
2019203N15244 2019 36 EP MM DALILA 2019-07-23 21:00:00 TS 19.0000 -118.000 main 881 879 P_____________ EP052019 19.0000 -118.000 TS 37 1005 0 80 1012 180 60 6 317
2019203N15244 2019 36 EP MM DALILA 2019-07-24 00:00:00 TS 19.2000 -118.200 35 1006 hurdat_epa main 879 871 O_____________ hurdat_epa EP052019 19.2000 -118.200 TS 35 1006 0 80 1012 180 60 45 6 320
2019203N15244 2019 36 EP MM DALILA 2019-07-24 03:00:00 TS 19.4425 -118.400 main 878 870 P_____________ EP052019 19.4425 -118.400 TS 32 1006 -1 1012 180 60 6 323
2019203N15244 2019 36 EP MM DALILA 2019-07-24 06:00:00 TS 19.7000 -118.600 30 1007 hurdat_epa main 870 863 O_____________ hurdat_epa EP052019 19.7000 -118.600 TD 30 1007 -1 1012 180 60 40 12 90 90 6 324
2019203N15244 2019 36 EP MM DALILA 2019-07-24 09:00:00 TS 19.9500 -118.793 main 871 864 P_____________ EP052019 19.9500 -118.793 TD 30 1007 -1 1011 180 60 12 90 90 6 323
2019203N15244 2019 36 EP MM DALILA 2019-07-24 12:00:00 TS 20.2000 -119.000 30 1008 hurdat_epa main 866 866 O_____________ hurdat_epa EP052019 20.2000 -119.000 TD 30 1008 -1 1010 180 60 40 12 90 90 7 319
2019203N15244 2019 36 EP MM DALILA 2019-07-24 15:00:00 TS 20.4576 -119.257 main 872 872 P_____________ EP052019 20.4576 -119.257 TD 27 1008 -1 1011 165 55 7 317
2019203N15244 2019 36 EP MM DALILA 2019-07-24 18:00:00 TS 20.7000 -119.500 25 1008 hurdat_epa main 877 871 O_____________ hurdat_epa EP052019 20.7000 -119.500 TD 25 1008 -1 1013 150 50 35 6 320
2019203N15244 2019 36 EP MM DALILA 2019-07-24 21:00:00 TS 20.9149 -119.665 main 883 874 P_____________ EP052019 20.9149 -119.665 TD 25 1008 -1 1013 150 55 5 325
2019203N15244 2019 36 EP MM DALILA 2019-07-25 00:00:00 TS 21.1000 -119.800 25 1008 hurdat_epa main 874 865 O_____________ hurdat_epa EP052019 21.1000 -119.800 TD 25 1008 -1 1013 150 60 35 4 323
2019203N15244 2019 36 EP MM DALILA 2019-07-25 03:00:00 TS 21.2499 -119.935 main 871 860 P_____________ EP052019 21.2499 -119.935 TD 25 1008 -1 1013 150 65 4 317
2019203N15244 2019 36 EP MM DALILA 2019-07-25 06:00:00 TS 21.4000 -120.100 25 1009 hurdat_epa main 867 864 O_____________ hurdat_epa EP052019 21.4000 -120.100 TD 25 1009 -1 1013 150 70 35 5 314
2019203N15244 2019 36 EP MM DALILA 2019-07-25 09:00:00 TS 21.6075 -120.327 main 864 861 P_____________ EP052019 21.6075 -120.327 TD 22 1009 -1 1013 150 70 6 311
2019203N15244 2019 36 EP MM DALILA 2019-07-25 12:00:00 DS 21.8000 -120.600 20 1009 hurdat_epa main 868 866 O_____________ hurdat_epa EP052019 21.8000 -120.600 LO 20 1009 -3 1013 150 70 30 6 300
2019203N15244 2019 36 EP MM DALILA 2019-07-25 15:00:00 DS 21.9150 -120.900 main 879 878 P_____________ EP052019 21.9150 -120.900 LO 20 1009 -3 1013 150 70 6 290
2019203N15244 2019 36 EP MM DALILA 2019-07-25 18:00:00 DS 22.0000 -121.200 20 1009 hurdat_epa main 892 891 O_____________ hurdat_epa EP052019 22.0000 -121.200 LO 20 1009 -3 1013 150 70 5 290
2019203N15244 2019 36 EP MM DALILA 2019-07-25 21:00:00 DS 22.0999 -121.450 main 905 905 P_____________ EP052019 22.0999 -121.450 LO 20 1009 -3 1013 150 70 5 293
2019203N15244 2019 36 EP MM DALILA 2019-07-26 00:00:00 DS 22.2000 -121.700 20 1009 hurdat_epa main 912 912 O_____________ hurdat_epa EP052019 22.2000 -121.700 LO 20 1009 -3 1013 150 70 5 293
2019203N15244 2019 36 EP MM DALILA 2019-07-26 03:00:00 DS 22.3074 -121.985 main 927 927 P_____________ EP052019 22.3074 -121.985 LO 20 1009 -3 1013 150 70 6 290
2019203N15244 2019 36 EP MM DALILA 2019-07-26 06:00:00 DS 22.4000 -122.300 20 1010 hurdat_epa main 943 943 O_____________ hurdat_epa EP052019 22.4000 -122.300 LO 20 1010 -3 1013 150 70 6 284
2019203N15244 2019 36 EP MM DALILA 2019-07-26 09:00:00 DS 22.4602 -122.643 main 959 959 P_____________ EP052019 22.4602 -122.643 LO 20 1010 -3 1013 150 70 7 279
2019203N15244 2019 36 EP MM DALILA 2019-07-26 12:00:00 DS 22.5000 -123.000 20 1010 hurdat_epa main 992 O_____________ hurdat_epa EP052019 22.5000 -123.000 LO 20 1010 -3 1013 150 70 7 277

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: 2021-12-08