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
2016228N22117 2016 45 WP MM DIANMU 2016-08-15 06:00:00 TS 21.8000 117.050 996 tokyo main 137 124 _OO___________ -1 21.7000 117.000 2 996 0 0 0 21.9000 117.100 1 25 995 7 261
2016228N22117 2016 45 WP MM DIANMU 2016-08-15 09:00:00 TS 21.7475 116.695 main 135 123 _PP___________ -1 21.7025 116.675 2 996 0 0 21.7926 116.715 1 25 995 7 262
2016228N22117 2016 45 WP MM DIANMU 2016-08-15 12:00:00 TS 21.7000 116.300 996 tokyo main 123 112 _OO___________ -1 21.7000 116.300 2 996 0 0 0 21.7000 116.300 1 25 995 8 264
2016228N22117 2016 45 WP MM DIANMU 2016-08-15 15:00:00 TS 21.6638 115.846 main 111 108 _PP___________ -1 21.6926 115.850 2 996 0 0 21.6350 115.843 1 25 995 8 267
2016228N22117 2016 45 WP MM DIANMU 2016-08-15 18:00:00 TS 21.6500 115.400 996 tokyo main 103 91 _OO___________ -1 21.7000 115.400 2 996 0 0 0 21.6000 115.400 1 25 995 8 271
2016228N22117 2016 45 WP MM DIANMU 2016-08-15 21:00:00 TS 21.6710 115.039 main 90 78 _PP___________ -1 21.7573 115.035 2 996 0 0 21.5848 115.043 1 25 995 7 274
2016228N22117 2016 45 WP MM DIANMU 2016-08-16 00:00:00 TS 21.7000 114.700 996 tokyo main 78 67 _OO___________ -1 21.8000 114.700 2 996 0 0 0 21.6000 114.700 1 25 995 7 273
2016228N22117 2016 45 WP MM DIANMU 2016-08-16 03:00:00 TS 21.7076 114.303 main 67 67 _PP___________ -1 21.7650 114.335 2 995 0 0 21.6502 114.270 1 25 994 7 270
2016228N22117 2016 45 WP MM DIANMU 2016-08-16 06:00:00 TS 21.7000 113.950 994 tokyo main 73 59 _OO___________ -1 21.7000 114.000 2 994 0 0 0 21.7000 113.900 1 25 994 5 267
2016228N22117 2016 45 WP MM DIANMU 2016-08-16 09:00:00 TS 21.6824 113.712 main 59 54 _PP___________ -1 21.6500 113.713 2 994 0 0 21.7148 113.712 1 25 994 4 262
2016228N22117 2016 45 WP MM DIANMU 2016-08-16 12:00:00 TS 21.6500 113.550 994 tokyo main 54 53 _OO___________ -1 21.6000 113.500 2 994 0 0 0 21.7000 113.600 1 25 994 3 254
2016228N22117 2016 45 WP MM DIANMU 2016-08-16 15:00:00 TS 21.6000 113.406 main 53 45 _PP___________ -1 21.5424 113.370 2 993 0 0 21.6575 113.442 1 25 993 3 247
2016228N22117 2016 45 WP MM DIANMU 2016-08-16 18:00:00 TS 21.5500 113.300 992 tokyo main 45 49 _OO___________ -1 21.5000 113.300 2 992 0 0 0 21.6000 113.300 1 25 992 2 246
2016228N22117 2016 45 WP MM DIANMU 2016-08-16 21:00:00 TS 21.5212 113.218 main 49 49 _PP___________ -1 21.4925 113.243 2 992 0 0 21.5500 113.193 1 27 992 1 250
2016228N22117 2016 45 WP MM DIANMU 2016-08-17 00:00:00 TS 21.5000 113.150 992 tokyo main 49 45 _OO___________ -1 21.5000 113.200 2 992 0 0 0 21.5000 113.100 1 29 992 2 233
2016228N22117 2016 45 WP MM DIANMU 2016-08-17 03:00:00 TS 21.4033 113.048 main 55 55 _PPO__________ -1 21.5075 113.158 2 992 0 0 21.4500 113.000 1 29 992 20.8000 112.800 TD 25 990 3 225
2016228N22117 2016 45 WP MM DIANMU 2016-08-17 06:00:00 TS 21.3200 112.960 992 tokyo main 67 63 _OOO__________ -1 21.5000 113.100 2 992 0 0 0 21.4000 112.900 1 29 992 20.8000 112.800 TD 25 990 2 222
2016228N22117 2016 45 WP MM DIANMU 2016-08-17 09:00:00 TS 21.2318 112.885 main 73 70 _PPP__________ -1 21.4724 113.045 2 991 0 0 21.3500 112.808 1 29 992 20.7534 112.774 TD 27 988 2 220
2016228N22117 2016 45 WP MM DIANMU 2016-08-17 12:00:00 TS 21.1308 112.792 990 tokyo main 80 73 OOOO__________ jtwc_wp WP112016 21.1000 113.100 DB 20 990 -3 992 200 50 21.4000 112.900 2 990 0 0 0 21.3000 112.700 1 29 992 20.7000 112.700 TD 30 986 3 237
2016228N22117 2016 45 WP MM DIANMU 2016-08-17 15:00:00 TS 21.0700 112.615 main 73 70 PPPP__________ WP112016 21.1351 112.797 DB 20 990 -3 992 200 50 21.2575 112.602 2 987 0 0 21.2500 112.565 1 29 991 20.6699 112.587 TD 30 986 4 257
2016228N22117 2016 45 WP MM DIANMU 2016-08-17 18:00:00 TS 21.0400 112.367 35 985 tokyo main 78 63 OOOO__________ jtwc_wp WP112016 21.2000 112.500 DB 20 990 -3 992 200 50 21.1000 112.200 3 35 985 0 3 240 120 0 21.2000 112.400 1 29 990 20.7000 112.400 TD 30 986 5 270
2016228N22117 2016 45 WP MM DIANMU 2016-08-17 21:00:00 TS 21.0736 112.102 main 63 49 PPPP__________ WP112016 21.2949 112.208 DB 22 994 -3 995 200 42 20.9849 111.773 3 35 985 0 3 240 120 21.1571 112.268 1 31 987 20.8573 112.160 TD 32 985 6 273
2016228N22117 2016 45 WP MM DIANMU 2016-08-18 00:00:00 TS 21.0750 111.750 35 985 tokyo main 49 44 OOOO__________ jtwc_wp WP112016 21.3000 111.900 TD 25 998 -1 999 200 35 20.9000 111.300 3 35 985 0 3 240 120 0 21.1000 112.000 2 34 985 21.0000 111.800 TS 35 984 8 264
2016228N22117 2016 45 WP MM DIANMU 2016-08-18 03:00:00 TS 20.9886 111.299 main 44 39 PPPP__________ WP112016 21.0643 111.632 TD 25 998 -1 999 200 35 20.8573 110.815 3 35 985 0 3 240 120 21.0303 111.460 2 36 983 21.0026 111.288 TS 35 984 10 256
2016228N22117 2016 45 WP MM DIANMU 2016-08-18 06:00:00 TS 20.8500 110.750 35 985 tokyo main 39 0 OOOO__________ jtwc_wp WP112016 20.8000 111.200 TD 25 998 -1 999 200 35 20.8000 110.300 3 35 985 0 3 240 120 0 20.9000 110.800 2 38 982 20.9000 110.700 TS 35 984 12 254
2016228N22117 2016 45 WP MM DIANMU 2016-08-18 09:00:00 TS 20.6784 110.110 main 0 0 PPPP__________ WP112016 20.7286 110.373 TD 27 999 -1 999 200 35 20.6425 109.750 3 35 985 0 3 225 120 20.6349 110.184 2 38 982 20.7075 110.135 TS 35 984 12 255
2016228N22117 2016 45 WP MM DIANMU 2016-08-18 12:00:00 TS 20.5250 109.475 35 985 tokyo main 31 31 OOOO__________ jtwc_wp WP112016 20.7000 109.500 TD 30 1000 -1 999 200 35 20.5000 109.200 3 35 985 0 3 210 120 0 20.4000 109.600 2 38 982 20.5000 109.600 TS 35 984 11 258
2016228N22117 2016 45 WP MM DIANMU 2016-08-18 15:00:00 TS 20.4466 108.960 main 74 74 PPPP__________ WP112016 20.5919 108.932 TD 35 996 0 30 45 40 30 998 200 35 20.4774 108.685 3 37 982 0 3 195 120 20.3547 109.085 2 41 981 20.3623 109.135 TS 37 983 9 264
2016228N22117 2016 45 WP MM DIANMU 2016-08-18 18:00:00 TS 20.4250 108.500 40 980 tokyo main 107 99 OOOO__________ jtwc_wp WP112016 20.5000 108.500 TS 40 993 0 60 90 80 60 997 200 35 20.5000 108.200 3 40 980 0 3 180 120 0 20.4000 108.600 2 44 980 20.3000 108.700 TS 40 982 8 269
2016228N22117 2016 45 WP MM DIANMU 2016-08-18 21:00:00 TS 20.4253 108.065 main 99 59 PPPP__________ WP112016 20.4545 108.122 TS 42 991 0 60 90 80 60 997 200 30 20.4923 107.742 3 40 980 0 3 165 120 20.4348 108.107 2 44 980 20.3195 108.288 TS 42 981 8 273
2016228N22117 2016 45 WP MM DIANMU 2016-08-19 00:00:00 TS 20.4750 107.600 40 980 tokyo main 59 33 OOOO__________ jtwc_wp WP112016 20.5000 107.700 TS 45 989 0 60 90 80 60 998 200 25 20.5000 107.300 3 40 980 0 3 150 120 0 20.5000 107.600 2 44 980 20.4000 107.800 TS 45 980 10 279
2016228N22117 2016 45 WP MM DIANMU 2016-08-19 03:00:00 TS 20.5704 107.052 main 33 0 PPPP__________ WP112016 20.6623 107.110 TS 42 991 0 60 85 80 60 998 210 25 20.5344 106.902 3 40 980 0 3 135 105 20.5921 107.087 2 44 980 20.4929 107.108 TS 45 980 11 282
2016228N22117 2016 45 WP MM DIANMU 2016-08-19 06:00:00 TS 20.7000 106.425 40 980 tokyo main 0 0 OOOO__________ jtwc_wp WP112016 20.9000 106.400 TS 40 993 0 60 80 80 60 999 220 25 20.6000 106.400 3 40 980 0 3 120 90 0 20.7000 106.500 2 44 980 20.6000 106.400 TS 45 980 12 282
2016228N22117 2016 45 WP MM DIANMU 2016-08-19 09:00:00 TS 20.8142 105.779 main 0 0 PPPP__________ WP112016 21.1267 105.667 TS 35 996 0 30 40 40 30 999 220 25 20.6769 105.705 3 985 0 3 20.7620 105.817 2 41 984 20.6914 105.930 TS 40 982 14 282
2016228N22117 2016 45 WP MM DIANMU 2016-08-19 12:00:00 TS 20.9867 105.013 990 tokyo main 0 0 OOOO__________ jtwc_wp WP112016 21.4000 104.800 TD 30 1000 -1 999 220 25 20.8000 104.800 2 990 0 0 0 20.9000 105.000 2 38 988 20.8000 105.400 TS 35 984 17 285
2016228N22117 2016 45 WP MM DIANMU 2016-08-19 15:00:00 TS 21.2459 104.049 main 0 0 PPPP__________ WP112016 21.7579 103.731 TD 27 1002 -1 999 220 25 20.9845 103.704 2 992 0 0 21.1604 104.015 2 31 992 20.9501 104.575 TS 32 986 20 287
2016228N22117 2016 45 WP MM DIANMU 2016-08-19 18:00:00 TS 21.5600 103.010 994 tokyo main 0 0 OOOO__________ jtwc_wp WP112016 22.1000 102.600 TD 25 1004 -1 999 220 25 21.2000 102.500 2 994 0 0 0 21.6000 103.000 1 25 996 21.1000 103.600 TD 30 988 19 291
2016228N22117 2016 45 WP MM DIANMU 2016-08-19 21:00:00 TS 21.9305 102.091 main 0 0 P_PP__________ WP112016 22.3355 101.565 TD 22 1005 -1 999 220 25 2 0 0 22.2427 102.109 1 22 997 21.2134 102.600 TD 27 990 19 292
2016228N22117 2016 45 WP MM DIANMU 2016-08-20 00:00:00 TS 22.2667 101.167 main 0 O_OO__________ jtwc_wp WP112016 22.5000 100.600 DB 20 1007 -3 999 220 25 23.0000 101.300 0 19 998 21.3000 101.600 TD 25 992 18 291

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