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Cyclone Fani

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Category 5 tropical cyclone, according to the JTWC, become the strongest storm on record in the north Indian Ocean, in terms of 1-minute sustained winds. Operationally, the JTWC classified the system as a high-end Category 4-equivalent tropical cyclone with 1-minute sustained winds of 250 km/h (155 mph), but raised their estimate in post-season reanalysis.
428: 349: 944: 438: 823:, In Odisha, a teenager of 14 years was killed after being hit by a falling tree. One woman died when she was hit by flying debris, and another died of a heart attack while in a cyclone shelter. The cyclone adversely affected electricity supply and telecommunication in several coastal areas of Odisha, and to a lesser extent, of West Bengal. 499:
feature, resulting in Fani being upgraded to an extremely severe cyclonic storm by the IMD around 12:00 UTC while the JTWC upgraded the storm to a Category 3-equivalent cyclone hours later. Development proceeded more slowly over the following days, with little improvement evident in the system's
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Prior to Fani's landfall, authorities in India and Bangladesh moved at least a million people each from areas within Fani's projected path onto higher ground, and into cyclone shelters, which is thought to have reduced the resultant death toll and casualties. Fani killed at least 89 people in eastern
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Fani developed during a period of high concentration of anthropogenic aerosols in the Bay of Bengal with abnormally high sea surface temperature (SST), thereby presenting a compound effect of atmospheric aerosols and regional climate warming on a tropical cyclone. Research indicates that aerosol and
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evacuated over 1.2 million residents from vulnerable coastal areas and moved them to higher ground and into cyclone shelters built a few kilometres inland. The authorities deployed around a thousand emergency workers and 43,000 volunteers in these efforts. It sent out 2.6 million text messages to
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also suffered a damage of about ₹300 million (US$ 4.3 million). Total damage in Odisha were estimated at ₹120 billion (US$ 1.74 billion), mostly in property damage and the relief. After the cyclone, Odisha required ₹170 billion (US$ 2.46 billion) for rebuilding the infrastructure. Indian Prime
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became more symmetrical and the eye more distinct, and Fani was upgraded to a Category 4-equivalent cyclone by the JTWC at 06:00 UTC. Shortly after, Fani started another period of rapid intensification, attaining 1-minute sustained winds of 280 km/h (175 mph), equivalent to a
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as an extremely severe cyclonic storm, with 3-minute sustained winds of 185 km/h (115 mph) and 1-minute sustained winds of 230 km/h (145 mph) according to IBTrACS record. This made Fani the most intense storm to make landfall in India's Odisha state since the
525:. Land interaction quickly degraded Fani's convective structure; and it weakened to a Category 1-equivalent tropical cyclone soon after landfall. Fani continued to weaken after landfall, weakening to a cyclonic storm later that day, before passing just north of 896:, a woman died after being hit by a falling tree, and 7 of them were killed by lightning in two districts of Bangladesh. The cyclone also destroyed about 63,000 ha (160,000 acres) of farmland in 35 districts of the country, the agricultural loss were at 327:
at first hindered the storm's development, but conditions became more favorable for Fani on 30 April. Fani rapidly strengthened, peaking at Category 5-equivalent intensity with winds of 280 km/h (175 mph). Fani slightly weakened before making
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deployed 32 naval ships to provide emergency relief and medical assistance to the coastal areas in case of any emergencies. More than 1.2 million people were evacuated in Bangladesh and moved to the cyclone shelters in coastal areas.
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air-bases to prepare for the storm's aftermath and aid in reconnaissance, rescue and relief operations. The Odisha government staged "300 power boats, two helicopters and many chain saws, to cut downed trees" for the purpose.
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tracked the storm and issued numerous yellow warnings for much of the south-eastern portion of India when the cyclone started to intensify. In preparation for the storm's impact, the state government of
918:-based NGO Meals of Happiness Charitable Trust, in association with M3M Foundation, ran a major relief drive for the victims of cyclone Fani which had devastated various districts of Odisha last month. 1267: 491:-equivalent cyclone late on 29 April. Around 00:00 UTC on 30 April, Fani was upgraded to a very severe cyclonic storm by the IMD. The organization of the system continued to improve, with tight spiral 2486: 571:
warn of the storm in addition to using television, sirens and public-address systems to communicate the message. About 7,000 kitchens were operated to feed evacuees in 9,000 storm shelters.
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around the storm's center waxed and waned. Fani resumed strengthening around 12:00 UTC, with the IMD upgrading it to a severe cyclonic storm. At that time, Fani began a period of
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on 27 April. At the same time, the JTWC began warning on the system, designating it 01B. Six hours later, the IMD upgraded the system to a cyclonic storm and gave it the name
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announced that the government had released over ₹10 billion (US$ 145 million) for the states affected by Fani. There were massive environmental devastation, as well.
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its interaction with the atmosphere acted to mitigate the strengthening effect of anthropogenic warming on Fani, but was not strong enough to entirely counteract it.
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supported the Government of Odisha through provision of medical relief with extended support from All India Institute of Medical Sciences, Bhubaneshwar.
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The IMD began tracking a depression located to the west of Sumatra on 26 April, classifying it as BOB 02. Later that day, the
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on the system. Afterward, the storm slowly coalesced while moving northward, and was upgraded to a deep depression at 00:00
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The Bangladeshi government distributed rice, dried food, and ৳19.7 million (US$ 234,000) to those affected by the cyclone.
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India and Bangladesh and caused about US$ 8.1 billion in damages in both India and Bangladesh, mostly in Odisha, in India.
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The system continued to intensify until 18:00 UTC on 27 April, after which it stagnated for over a day, as
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385 million (US$ 4.6 million). Total damage in Bangladesh were up to ৳5.37 billion (US$ 63.6 million).
744: 625: 509: 192: 1112: 971: 690: 522: 431: 312: 1861: 978:; also the most intense storm recorded in the North Indian Ocean, which killed over 10,000 people 246: 998:– A powerful tropical cyclone that struck Odisha in 2013, which displaced over 1 million people 2423: 2390: 1755: 963: 893: 897: 832: 828: 421: 300: 276: 1754:" Cyclone Fani: The tug-of-war between regional warming and anthropogenic aerosol effects" 1830: 995: 840: 762: 595: 250: 167: 115: 1559: 1507: 1477: 2450: 1006: 981: 857: 798: 780: 654: 636: 333: 218: 1797:"Tropical Cyclone Fani Nears India as Country Works to Evacuate Hundreds of Thousands" 28: 2693: 2600: 2576: 1914: 1604:"Tropical Cyclone Fani Slams India's Odisha State, Its Strongest Landfall Since 1999" 1056: 845: 824: 708: 496: 159: 107: 2465: 2552: 1416:(Report). Naval Meteorology and Oceanography Command. 30 April 2019. Archived from 1356:(Report). Naval Meteorology and Oceanography Command. 29 April 2019. Archived from 1236:(Report). Naval Meteorology and Oceanography Command. 27 April 2019. Archived from 1176:(Report). Naval Meteorology and Oceanography Command. 26 April 2019. Archived from 949: 865: 836: 726: 352:
Map plotting the storm's track and intensity, according to the Saffir–Simpson scale
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districts reported an economic loss of ₹586.2 million (US$ 8.5 million). The
2461: 1857:"How Do You Save a Million People From a Cyclone? Ask a Poor State in India" 1768:"Cyclone Fani churns toward India, prompting evacuation of almost 1 million" 1079: 911: 348: 236: 1476:. Naval Meteorology and Oceanoraphy Command. 30 April 2019. Archived from 1113:"'The Worst Is Over': A Sigh of Relief in India, Mostly Spared by Cyclone" 1772: 583: 492: 329: 989: 915: 835:
in Puri suffered minor damage, the repairing cost were estimated to be
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were ordered to open shelter areas as well in 19 coastal districts.
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The name was contributed by Bangladesh and means 'hood of a snake'.
1826:"Fani leaves trail of devastation; India, Bangladesh count losses" 874: 548: 347: 819:
Approximately 72 people have been killed by Fani in India; 64 in
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Joint Typhoon Warning Center: 2019 North Indian Ocean Best Track
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Fani quickly weakened after peak intensity. At 8:00 a.m.
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Kumar, Hari; Gettleman, Jeffrey; Yasir, Sameer (3 May 2019).
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Kumar, Hari; Gettleman, Jeffrey; Yasir, Sameer (4 May 2019).
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also suffered a damage of about ₹29.8 million (US$ 432,000).
2301:"Fani damaged crops worth Tk 38.5 cr: Agriculture Minister" 1910:"Bangladesh prepares for Fani as cyclonic storm draws near" 1824:
Mohanty, Debabrata; Bhattacharya, Snigdhendu (4 May 2019).
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https://iopscience.iop.org/article/10.1088/1748-9326/ab91e7
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as it was located within a very favorable environment with
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Tropical storm (39–73 mph, 63–118 km/h)
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Tropical depression (≤38 mph, ≤62 km/h)
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Cyclone Fani at peak intensity on 2 May, while approaching
2065:"Cyclone Fani: SOA university faces damage of Rs 30 crore" 2016:"Cyclone Fani kills at least 15 as it moves to Bangladesh" 444:, remnant low, tropical disturbance, or monsoon depression 396:
Category 4 (130–156 mph, 209–251 km/h)
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Category 3 (111–129 mph, 178–208 km/h)
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Category 2 (96–110 mph, 154–177 km/h)
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Category 1 (74–95 mph, 119–153 km/h)
2357:"Fani damages 53,000 acres of cropland, 13,000 houses" 606: 197:(Third costliest cyclone recorded in the Indian Ocean) 1938:"Bangladesh Navy prepared to face Fani with 32 ships" 288: 282: 2223:"SCR incurs Rs. 2.98 crore loss due to cyclone Fani" 879:
Trees under heavy wind in Odisha during cyclone Fani
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Category 5 (≥157 mph, ≥252 km/h)
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Evacuees at a cyclone shelter at Basudevpur Bhadrak
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Vertical 249: 27: 20: 1552:"Tropical Cyclone 01B (Fani) Warning 023" 1500:"Tropical Cyclone 01B (Fani) Warning 022" 1470:"Tropical Cyclone 01B (Fani) Warning 016" 1013:List of near-Equatorial tropical cyclones 483:of 30–31 °C (86–88 °F) and low 2275:"Cyclone Fani: 14 killed in 8 districts" 2458:from the U.S. Naval Research Laboratory 2165:Misra, Yagnya Valkya (2 October 2019). 1630:Tropical Cyclone 01B (Fani) Warning 027 1446:(Report). 30 April 2019. Archived from 1410:Tropical Cyclone 01B (Fani) Warning 015 1386:(Report). 30 April 2019. Archived from 1350:Tropical Cyclone 01B (Fani) Warning 012 1326:(Report). 29 April 2019. Archived from 1296:(Report). 28 April 2019. Archived from 1266:(Report). 27 April 2019. Archived from 1206:(Report). 27 April 2019. Archived from 1043: 1024: 2710:2019 North Indian Ocean cyclone season 2504:2019 North Indian Ocean cyclone season 1582:"Cyclone Fani makes landfall in India" 1532:(Report). Joint Typhoon Warning Center 608:Costliest known North Indian cyclones 317:2019 North Indian Ocean cyclone season 262:2019 North Indian Ocean cyclone season 124:Category 5-equivalent tropical cyclone 7: 1729:(Report). 4 May 2019. Archived from 1666:(Report). 3 May 2019. Archived from 1081:ঘূর্ণিঝড়ের ফণী নামটি কোথা থেকে এলো? 578:readied naval ships and aircraft at 271:Extremely Severe Cyclonic Storm Fani 22:Extremely Severe Cyclonic Storm Fani 984:– Took a similar path and affected 856:Although no fatalities occurred in 2623: 2618: 2383:"Mangaluru medical team in Odisha" 831:in Odisha were the worst hit. The 16:North Indian Ocean cyclone in 2019 14: 2599: 2594: 2575: 2570: 2116:Nanda, Prashant K. (7 May 2019). 1610:. The Weather Company. 3 May 2019 2700:Extremely severe cyclonic storms 2674: 2673: 2659: 2654: 2647: 2642: 2611: 2606: 2587: 2582: 2563: 2558: 2551: 2546: 2539: 2534: 2512: 1230:Tropical Cyclone 01B Warning 001 1170:Tropical Cyclone Formation Alert 956: 942: 928: 458:Tropical Cyclone Formation Alert 436: 426: 416: 275: 2635: 2630: 2527: 2522: 2451:India Meteorological Department 1727:India Meteorological Department 1694:India Meteorological Department 1664:India Meteorological Department 1444:India Meteorological Department 1384:India Meteorological Department 1324:India Meteorological Department 1294:India Meteorological Department 1264:India Meteorological Department 1204:India Meteorological Department 1052:"How Cyclone Fani got its name" 559:India Meteorological Department 76:Extremely severe cyclonic storm 2041:Jena, Suryakant (8 May 2019). 2022:. Associated Press. 5 May 2019 1143:. Aon Benfield. Archived from 839:51 million (US$ 738,000). The 1: 2725:2019 disasters in Bangladesh 2456:Archived version of 01B.FANI 2333:. 9 May 2019. Archived from 1634:Joint Typhoon Warning Center 1584:. Deutsche Welle. 3 May 2019 1558:. 2 May 2019. Archived from 1556:Joint Typhoon Warning Center 1506:. 2 May 2019. Archived from 1504:Joint Typhoon Warning Center 1474:Joint Typhoon Warning Center 1414:Joint Typhoon Warning Center 1354:Joint Typhoon Warning Center 1234:Joint Typhoon Warning Center 1174:Joint Typhoon Warning Center 454:Joint Typhoon Warning Center 149:280 km/h (175 mph) 97:215 km/h (130 mph) 1964:"12 lakh moved to shelters" 2746: 2730:April 2019 events in India 1795:Wright, Pam (2 May 2019). 495:wrapping into a formative 2720:April 2019 events in Asia 2705:Tropical cyclones in 2019 2669: 2519: 2510: 2502:Tropical cyclones of the 257: 245: 191:$ 8.1 billion (2019 129: 81: 26: 1696:(Report). Archived from 1080: 936:Tropical cyclones portal 481:sea surface temperatures 2715:2019 disasters in India 2095:The Hindu Business Line 2069:The New Indian Express 880: 554: 502:central dense overcast 449: 344:Meteorological history 43:Meteorological history 878: 870:South Central Railway 552: 477:rapid intensification 442:Extratropical cyclone 351: 1002:Cyclone Matmo–Bulbul 808:$ 4.29 billion 790:$ 4.61 billion 772:$ 5.57 billion 754:$ 5.61 billion 736:$ 6.47 billion 718:$ 7.82 billion 700:$ 8.12 billion 682:$ 9.65 billion 664:$ 16.6 billion 646:$ 18.3 billion 603:Impact and aftermath 363:Saffir–Simpson scale 154:Lowest pressure 102:Lowest pressure 1801:The Weather Channel 972:1999 Odisha cyclone 609: 523:1999 Odisha cyclone 485:vertical wind shear 432:Subtropical cyclone 313:1999 Odisha cyclone 23: 2420:The Times of India 1862:The New York Times 1117:The New York Times 881: 607: 555: 450: 146:Highest winds 131:1-minute sustained 94:Highest winds 83:3-minute sustained 2687: 2686: 1776:. 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Delhi Press 2176: 2175: 2169: 2161: 2158: 2145: 2141: 2135: 2132: 2119: 2112: 2109: 2097:. 15 May 2019 2096: 2092: 2086: 2083: 2071:. 11 May 2019 2070: 2066: 2060: 2057: 2044: 2037: 2034: 2021: 2020:Khaleej Times 2017: 2011: 2008: 1996: 1992: 1989:Ahmad, Adil. 1985: 1982: 1969: 1965: 1959: 1956: 1943: 1942:Dhaka Tribune 1939: 1933: 1930: 1917: 1916: 1915:Dhaka Tribune 1911: 1905: 1902: 1889: 1885: 1879: 1876: 1864: 1863: 1858: 1851: 1849: 1845: 1833: 1832: 1827: 1820: 1818: 1814: 1802: 1798: 1791: 1788: 1775: 1774: 1769: 1763: 1760: 1757: 1751: 1748: 1736:on 4 May 2019 1732: 1728: 1721: 1715: 1712: 1700:on 4 May 2019 1699: 1695: 1691: 1685: 1682: 1670:on 4 May 2019 1669: 1665: 1661: 1655: 1652: 1640:on 4 May 2019 1639: 1635: 1631: 1625: 1622: 1609: 1605: 1599: 1596: 1583: 1577: 1574: 1562:on 2 May 2019 1561: 1557: 1553: 1547: 1544: 1531: 1525: 1522: 1510:on 2 May 2019 1509: 1505: 1501: 1495: 1492: 1479: 1475: 1471: 1465: 1462: 1449: 1445: 1441: 1435: 1432: 1419: 1415: 1411: 1405: 1402: 1389: 1385: 1381: 1375: 1372: 1359: 1355: 1351: 1345: 1342: 1329: 1325: 1321: 1315: 1312: 1299: 1295: 1291: 1290:TC Advisory 4 1285: 1282: 1269: 1265: 1261: 1260:TC Advisory 2 1255: 1252: 1239: 1235: 1231: 1225: 1222: 1209: 1205: 1201: 1200:TC Advisory 1 1195: 1192: 1179: 1175: 1171: 1165: 1162: 1146: 1139: 1133: 1130: 1118: 1114: 1107: 1104: 1091: 1087: 1083: 1075: 1072: 1059: 1058: 1057:Dhaka Tribune 1053: 1047: 1044: 1038: 1028: 1025: 1018: 1014: 1011: 1008: 1005: 1003: 1000: 997: 994: 991: 987: 983: 980: 977: 973: 970: 969: 965: 954: 951: 940: 937: 926: 921: 919: 917: 913: 906: 904: 901: 899: 895: 891: 883: 877: 873: 871: 867: 863: 859: 851: 849: 847: 846:Narendra Modi 842: 838: 834: 830: 826: 822: 814: 807: 805: 802: 800: 797: 794: 793: 789: 787: 784: 782: 779: 776: 775: 771: 769: 766: 764: 761: 758: 757: 753: 751: 748: 746: 743: 740: 739: 735: 733: 730: 728: 725: 722: 721: 717: 715: 712: 710: 707: 704: 703: 699: 697: 694: 692: 689: 686: 685: 681: 679: 676: 674: 671: 668: 667: 663: 661: 658: 656: 653: 650: 649: 645: 643: 640: 638: 635: 632: 631: 627: 621: 618: 615: 612: 611: 602: 600: 597: 593: 588: 585: 584:Visakhapatnam 581: 577: 572: 569: 565: 560: 551: 544: 542: 538: 536: 532: 528: 524: 519: 515: 511: 506: 503: 498: 494: 490: 486: 482: 478: 474: 469: 467: 463: 459: 455: 443: 433: 423: 413: 365: 364: 350: 343: 341: 337: 335: 331: 326: 322: 318: 314: 310: 306: 302: 296: 272: 264: 263: 256: 252: 248: 244: 238: 235: 233: 230: 228: 225: 222: 220: 217: 215: 212: 210: 207: 206: 204: 200: 194: 190: 186: 182: 178: 173: 169: 165: 161: 156: 152: 148: 144: 140: 136: 132: 128: 121: 117: 113: 109: 104: 100: 96: 92: 88: 84: 80: 73: 69: 65: 61: 59: 55: 52:26 April 2019 51: 47: 40: 36: 30: 25: 19: 2540: 2431:. 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Livemint 1090:BBC Bangla 1039:References 986:Bangladesh 890:Bangladesh 884:Bangladesh 862:Srikakulam 592:Bangladesh 531:Bangladesh 489:Category 1 473:convection 412:Storm type 325:wind shear 311:since the 227:Bangladesh 223:East India 180:Fatalities 70:5 May 2019 67:Dissipated 62:4 May 2019 2466:main page 2462:ReliefWeb 2428:0971-8257 2395:0971-751X 2387:The Hindu 2201:The Hindu 2144:DNA India 1888:The Hindu 1536:7 January 1154:12 August 912:CHD Group 844:Minister 580:Arakkonam 237:Sri Lanka 2679:Category 1894:30 April 1773:CBS News 1484:30 April 1454:30 April 1424:30 April 1394:30 April 1364:30 April 1334:30 April 1304:30 April 1274:30 April 1244:30 April 1214:30 April 1184:30 April 922:See also 616:Cyclone 406:Unknown 330:landfall 183:89 total 2589:LAND 01 2433:8 March 2400:8 March 1780:3 April 992:in 2013 990:Myanmar 916:Gurgaon 763:Phailin 619:Season 527:Kolkata 493:banding 356:Map key 321:Sumatra 247:IBTrACS 2661:ARB 08 2649:ARB 06 2625:Bulbul 2565:BOB 03 2426:  2393:  2233:11 May 2101:15 May 2075:11 May 2000:12 May 1614:27 May 976:Odisha 821:Odisha 815:Odisha 799:Vardah 781:Hudhud 745:ARB 02 691:BOB 06 655:Amphan 637:Nargis 624:(2023 622:Damage 564:Odisha 535:Bhutan 518:Odisha 404:  399:  394:  389:  384:  379:  374:  369:  309:Odisha 232:Bhutan 209:Odisha 188:Damage 49:Formed 35:Odisha 2637:Pawan 2601:Kyarr 2577:Hikaa 2529:Pabuk 2367:5 May 2341:9 May 2311:7 May 2285:4 May 2259:5 May 2207:5 May 2150:5 May 2124:8 May 2049:8 May 2026:5 May 1974:4 May 1948:4 May 1922:1 May 1868:5 May 1837:5 May 1806:2 May 1740:4 May 1734:(PDF) 1723:(PDF) 1704:4 May 1674:4 May 1644:4 May 1588:3 May 1566:2 May 1514:2 May 1148:(PDF) 1141:(PDF) 1122:5 May 1096:2 May 1064:2 May 1019:Notes 892:. 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Index


Odisha
Remnant low
IMD
hPa
mbar
inHg
SSHWS
JTWC
hPa
mbar
inHg
USD
Odisha
West Bengal
Andhra Pradesh
Bangladesh
Bhutan
Sri Lanka
IBTrACS
Edit this at Wikidata
2019 North Indian Ocean cyclone season
/ˈfɒn/
tropical cyclone
Indian state
Odisha
1999 Odisha cyclone
2019 North Indian Ocean cyclone season
Sumatra
wind shear

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