| 词条 | Tropical cyclones in 2017 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 释义 |
| Track= | First system=06F | First date=January 2, 2017 | Last system=Ava | Last date=January 9, 2018 | Strongest system= Maria | Pressure mbar/hPa= 908 | Pressure inHg= 26.81 | Longest system= Noru | Total days= 20 | Total systems=141 | Named systems=86 | Fatalities=5,557 | Damages=309950 | YearB=2016 | YearC=2017 | YearC2=17 | YearA2=18 | Five years= 2015, 2016, 2017, 2018, 2019 }} Tropical cyclones in 2017 were spread out across seven different areas called basins. 141 tropical cyclones had formed this year to date. 86 tropical cyclones had been named by either a Regional Specialized Meteorological Center (RSMC) or a Tropical Cyclone Warning Center (TCWC). The strongest system was Hurricane Maria, with a central pressure of 908 mbars. Maria was also the deadliest system this year, being responsible for over 3,000 deaths. The costliest system this year was Hurricane Harvey, inflicting $125 billion (2017 USD) in damages mainly to the Houston metropolitan area. Tropical cyclone activity in each basin is under the authority of an RSMC. The National Hurricane Center (NHC) is responsible for tropical cyclones in the North Atlantic and East Pacific. The Central Pacific Hurricane Center (CPHC) is responsible for tropical cyclones in the Central Pacific. Both the NHC and CPHC are subdivisions of the National Weather Service. Activity in the West Pacific is monitored by the Japan Meteorological Agency (JMA). Systems in the North Indian Ocean are monitored by the Indian Meteorological Department (IMD). The Météo-France located in Réunion (MFR) monitors tropical activity in the South-West Indian Ocean. The Australian region is monitored by five TCWCs that are under the coordination of the Australian Bureau of Meteorology (BOM). Similarly, the South Pacific is monitored by both the Fiji Meteorological Service (FMS) and the Meteorological Service of New Zealand Limited. Other, unofficial agencies that provide additional guidance in tropical cyclone monitoring include the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA) and the Joint Typhoon Warning Center (JTWC). Global atmospheric and hydrological conditionsFor the majority of the year, the tropics were dominated by neutral El Niño–Southern Oscillation (ENSO) conditions, before La Niña conditions set in later in the year.[1] As the year opened, sea surface temperatures anomalies across the central and east-central equatorial Pacific were cooler than average, while the impacts of La Niña lingered within the atmospheric circulation, following an abrupt end to the 2016 La Niña episode. Over the next few months, these anomalies warmed and nearly reached the thresholds needed for an El Niño event to be declared, however, they subsequently cooled throughout the rest of the year and the 2017–18 La Niña event was declared to be underway. SummaryImageSize = width:1050 height:550 PlotArea = top:10 bottom:80 right:20 left:20 Legend = columns:3 left:30 top:58 columnwidth:270 AlignBars = early DateFormat = dd/mm/yyyy Period = from:01/01/2017 till:01/02/2018 TimeAxis = orientation:horizontal ScaleMinor = grid:black unit:month increment:1 start:01/01/2017 Colors = id:canvas value:gray(0.88) id:NATL value:blue legend: North_Atlantic_Ocean id:EPAC/CPAC value:green legend: East_and_Central_Pacific_Ocean id:WPAC value:red legend: West_Pacific_Ocean id:NIO value:orange legend: North_Indian_Ocean id:SWIO value:purple legend: Southwest_Indian_Ocean id:SPAC value:yellow legend: South_Pacific_Ocean id:AUSR value:pink legend: Australian_Region id:SATL value:black legend: South_Atlantic_Ocean id:MED value:gray(0.99) legend: Mediterranean_Sea Backgroundcolors = canvas:canvas BarData = barset:Hurricane bar:Month Plotdata= barset:Hurricane width:11 align:left fontsize:S shift:(4,-4) anchor:till from:02/01/2017 till:06/01/2017 color:SPAC text:"06F" from:03/01/2017 till:07/01/2017 color:AUSR text:"08U" from:03/01/2017 till:06/01/2017 color:AUSR text:"09U" from:07/01/2017 till:12/01/2017 color:AUSR text:"10U" from:07/01/2017 till:08/01/2017 color:AUSR text:"11U" from:07/01/2017 till:16/01/2017 color:WPAC text:"01W" from:10/01/2017 till:20/01/2017 color:SPAC text:"07F" from:10/01/2017 till:11/01/2017 color:SPAC text:"08F" from:18/01/2017 till:19/01/2017 color:AUSR text:"12U" from:21/01/2017 till:25/01/2017 color:AUSR text:"13U" from:23/01/2017 till:31/01/2017 color:AUSR text:"14U" from:27/01/2017 till:28/01/2017 color:SWIO text:"03" from:02/02/2017 till:10/02/2017 color:SWIO text:"Carlos" from:03/02/2017 till:07/02/2017 color:WPAC text:"Bising" from:05/02/2017 till:11/02/2017 color:SPAC text:"09F" from:07/02/2017 till:11/02/2017 color:SPAC text:"10F" from:07/02/2017 till:11/02/2017 color:AUSR text:"15U" from:09/02/2017 till:10/02/2017 color:AUSR text:"16U" from:09/02/2017 till:12/02/2017 color:SPAC text:"11F" from:11/02/2017 till:12/02/2017 color:AUSR text:"17U" barset:break from:13/02/2017 till:17/02/2017 color:SWIO text:"Dineo" from:15/02/2017 till:24/02/2017 color:SPAC text:"12F" from:15/02/2017 till:18/02/2017 color:SPAC text:"13F" from:16/02/2017 till:22/02/2017 color:SPAC text:"14F" from:16/02/2017 till:22/02/2017 color:AUSR text:"18U" from:16/02/2017 till:22/02/2017 color:AUSR text:"Alfred" from:19/02/2017 till:22/02/2017 color:SPAC text:"Bart" from:23/02/2017 till:26/02/2017 color:SPAC text:"16F" from:02/03/2017 till:07/03/2017 color:AUSR text:"Blanche" from:02/03/2017 till:09/03/2017 color:SWIO text:"Enawo" from:04/03/2017 till:05/03/2017 color:SPAC text:"17F" from:06/03/2017 till:14/03/2017 color:SWIO text:"Fernando" from:14/03/2017 till:18/03/2017 color:AUSR text:"21U" from:19/03/2017 till:21/03/2017 color:WPAC text:"TD" from:19/03/2017 till:21/03/2017 color:SPAC text:"18F" from:20/03/2017 till:24/03/2017 color:AUSR text:"22U" from:23/03/2017 till:27/03/2017 color:AUSR text:"Caleb" from:23/03/2017 till:30/03/2017 color:AUSR text:"Debbie" from:23/03/2017 till:26/03/2017 color:AUSR text:"25U" from:01/04/2017 till:20/04/2017 color:SPAC text:"19F" barset:break from:05/04/2017 till:10/04/2017 color:AUSR text:"Ernie" from:06/04/2017 till:16/04/2017 color:AUSR text:"27U" from:06/04/2017 till:11/04/2017 color:SPAC text:"Cook" from:13/04/2017 till:20/04/2017 color:WPAC text:"02W" from:15/04/2017 till:17/04/2017 color:NIO text:"Maarutha" from:19/04/2017 till:21/04/2017 color:NATL text:"Arlene" from:21/04/2017 till:01/05/2017 color:AUSR text:"Frances" from:22/04/2017 till:29/04/2017 color:WPAC text:"Muifa" from:29/04/2017 till:03/05/2017 color:AUSR text:"Greg" from:01/05/2017 till:10/05/2017 color:SPAC text:"Donna" from:07/05/2017 till:14/05/2017 color:SPAC text:"Ella" from:09/05/2017 till:10/05/2017 color:EPAC/CPAC text:"Adrian" from:28/05/2017 till:31/05/2017 color:NIO text:"Mora" from:31/05/2017 till:02/06/2017 color:EPAC/CPAC text:"Beatriz" from:10/06/2017 till:13/06/2017 color:WPAC text:"Merbok" from:11/06/2017 till:13/06/2017 color:EPAC/CPAC text:"Calvin" from:11/06/2017 till:13/06/2017 color:NIO text:"BOB 03" from:19/06/2017 till:20/06/2017 color:NATL text:"Bret" from:20/06/2017 till:23/06/2017 color:NATL text:"Cindy" from:25/06/2017 till:28/06/2017 color:EPAC/CPAC text:"Dora" barset:break from:29/06/2017 till:01/07/2017 color:WPAC text:"TD" from:01/07/2017 till:04/07/2017 color:WPAC text:"Nanmadol" from:04/07/2017 till:07/07/2017 color:WPAC text:"TD" from:05/07/2017 till:07/07/2017 color:NATL text:"Four" from:07/07/2017 till:12/07/2017 color:EPAC/CPAC text:"Eugene" from:12/07/2017 till:22/07/2017 color:EPAC/CPAC text:"Fernanda" from:13/07/2017 till:16/07/2017 color:WPAC text:"TD" from:14/07/2017 till:17/07/2017 color:WPAC text:"Talas" from:17/07/2017 till:18/07/2017 color:NATL text:"Don" from:17/07/2017 till:20/07/2017 color:EPAC/CPAC text:"Eight-E" from:17/07/2017 till:26/07/2017 color:EPAC/CPAC text:"Greg" from:18/07/2017 till:19/07/2017 color:NIO text:"BOB 04" from:19/07/2017 till:08/08/2017 color:WPAC text:"Noru" from:20/07/2017 till:28/07/2017 color:WPAC text:"Kulap" from:21/07/2017 till:30/07/2017 color:EPAC/CPAC text:"Hilary" from:21/07/2017 till:29/07/2017 color:WPAC text:"Sonca" from:21/07/2017 till:23/07/2017 color:WPAC text:"Roke" from:22/07/2017 till:01/08/2017 color:EPAC/CPAC text:"Irwin" from:25/07/2017 till:30/07/2017 color:WPAC text:"Nesat" from:25/07/2017 till:29/07/2017 color:WPAC text:"TD" barset:break from:26/07/2017 till:27/07/2017 color:NIO text:"LAND 01" from:27/07/2017 till:02/08/2017 color:WPAC text:"Haitang" from:30/07/2017 till:01/08/2017 color:NATL text:"Emily" from:31/07/2017 till:05/08/2017 color:WPAC text:"Nalgae" from:04/08/2017 till:05/08/2017 color:EPAC/CPAC text:"Eleven-E" from:07/08/2017 till:10/08/2017 color:NATL text:"Franklin" from:08/08/2017 till:08/08/2017 color:AUSR text:"01U" from:10/08/2017 till:17/08/2017 color:WPAC text:"Banyan" from:12/08/2017 till:14/08/2017 color:EPAC/CPAC text:"Jova" from:12/08/2017 till:17/08/2017 color:NATL text:"Gert" from:17/08/2017 till:01/09/2017 color:NATL text:"Harvey" from:18/08/2017 till:23/08/2017 color:EPAC/CPAC text:"Kenneth" from:19/08/2017 till:24/08/2017 color:WPAC text:"Hato" from:24/08/2017 till:27/08/2017 color:WPAC text:"Pakhar" from:25/08/2017 till:26/08/2017 color:WPAC text:"TD" from:27/08/2017 till:03/09/2017 color:WPAC text:"Sanvu" from:28/08/2017 till:29/08/2017 color:WPAC text:"TD" from:30/08/2017 till:04/09/2017 color:WPAC text:"Mawar" from:30/08/2017 till:12/09/2017 color:NATL text:"Irma" from:31/08/2017 till:03/09/2017 color:EPAC/CPAC text:"Lidia" barset:break from:03/09/2017 till:07/09/2017 color:WPAC text:"Guchol" from:05/09/2017 till:22/09/2017 color:NATL text:"Jose" from:05/09/2017 till:09/09/2017 color:NATL text:"Katia" from:08/09/2017 till:17/09/2017 color:WPAC text:"Talim" from:10/09/2017 till:16/09/2017 color:WPAC text:"Doksuri" from:11/09/2017 till:19/09/2017 color:EPAC/CPAC text:"Otis" from:13/09/2017 till:15/09/2017 color:EPAC/CPAC text:"Max" from:14/09/2017 till:20/09/2017 color:EPAC/CPAC text:"Norma" from:14/09/2017 till:30/09/2017 color:NATL text:"Lee" from:16/09/2017 till:30/09/2017 color:NATL text:"Maria" from:23/09/2017 till:25/09/2017 color:WPAC text:"22W" from:23/09/2017 till:25/09/2017 color:EPAC/CPAC text:"Pilar" from:03/10/2017 till:04/10/2017 color:EPAC/CPAC text:"Ramon" from:04/10/2017 till:09/10/2017 color:NATL text:"Nate" from:07/10/2017 till:10/10/2017 color:WPAC text:"23W" from:08/10/2017 till:10/10/2017 color:NIO text:"LAND 02" from:09/10/2017 till:16/10/2017 color:NATL text:"Ophelia" from:11/10/2017 till:16/10/2017 color:WPAC text:"Khanun" from:15/10/2017 till:23/10/2017 color:WPAC text:"Lan" from:18/10/2017 till:19/10/2017 color:WPAC text:"26W" barset:break from:18/10/2017 till:22/10/2017 color:NIO text:"BOB 05" from:22/10/2017 till:29/10/2017 color:WPAC text:"Saola" from:27/10/2017 till:28/10/2017 color:EPAC/CPAC text:"Selma" from:28/10/2017 till:29/10/2017 color:NATL text:"Philippe" from:30/10/2017 till:08/11/2017 color:WPAC text:"29W" from:31/10/2017 till:04/11/2017 color:WPAC text:"Damrey" from:05/11/2017 till:09/11/2017 color:NATL text:"Rina" from:07/11/2017 till:13/11/2017 color:WPAC text:"Haikui" from:15/11/2017 till:17/11/2017 color:NIO text:"BOB 06" from:16/11/2017 till:19/11/2017 color:WPAC text:"Kirogi" from:16/11/2017 till:19/11/2017 color:MED text:"Numa" from:22/11/2017 till:01/12/2017 color:AUSR text:"Cempaka" from:24/11/2017 till:05/12/2017 color:AUSR text:"Dahlia" from:24/11/2017 till:29/11/2017 color:AUSR text:"04U" from:29/11/2017 till:06/12/2017 color:NIO text:"Ockhi" from:01/12/2017 till:02/12/2017 color:AUSR text:"05U" from:05/12/2017 till:09/12/2017 color:NIO text:"BOB 08" from:09/12/2017 till:11/12/2017 color:SATL text:"Guará" from:13/12/2017 till:23/12/2017 color:WPAC text:"Kai-tak" from:16/12/2017 till:18/12/2017 color:SPAC text:"02F" barset:break from:17/12/2017 till:19/12/2017 color:SPAC text:"03F" from:20/12/2017 till:26/12/2017 color:SPAC text:"04F" from:20/12/2017 till:26/12/2017 color:WPAC text:"Tembin" from:26/12/2017 till:30/12/2017 color:AUSR text:"Hilda" from:27/12/2017 till:09/01/2018 color:SWIO text:"Ava" from:29/12/2017 till:04/01/2018 color:WPAC text:"Bolaven" bar:Month width:5 align:center fontsize:S shift:(0,-20) anchor:middle color:canvas from:01/01/2017 till:01/02/2017 text:January from:01/02/2017 till:28/02/2017 text:February from:01/03/2017 till:01/04/2017 text:March from:01/04/2017 till:01/05/2017 text:April from:01/05/2017 till:01/06/2017 text:May from:01/06/2017 till:01/07/2017 text:June from:01/07/2017 till:01/08/2017 text:July from:01/08/2017 till:01/09/2017 text:August from:01/09/2017 till:01/10/2017 text:September from:01/10/2017 till:01/11/2017 text:October from:01/11/2017 till:01/12/2017 text:November from:01/12/2017 till:01/01/2018 text:December from:01/01/2018 till:01/02/2018 text:January TextData = pos:(710,30) text:"This table is based on the" pos:(830,30) text:"tropical cyclone basins" SystemsJanuary
February
March
April
May
June
July
August
September
October
November
December
Global effects
Notes1 Only systems that formed either on or after January 1, 2017 are counted in the seasonal totals.2 Only systems that formed either before or on December 31, 2017 are counted in the seasonal totals. 3 The wind speeds for this tropical cyclone are based on the IMD Scale which uses 3-minute sustained winds. 4 The wind speeds for this tropical cyclone are based on the Saffir Simpson Scale which uses 1-minute sustained winds. See also
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|url=http://www.solomonstarnews.com/news/national/12838-damages-reported-in-temotu |work=Solomon Star |date=May 15, 2017 |archiveurl=https://www.webcitation.org/6qVuWt2lq?url=http://www.solomonstarnews.com/news/national/12838-damages-reported-in-temotu |archivedate=May 16, 2017 |deadurl=yes |df= }} 19. ^{{cite web|title=Cyclone Mora kills 9 in 4 districts|url=http://www.dhakatribune.com/bangladesh/nation/2017/05/30/casualties-mora-coxs-bazar/|publisher=Dhaka Tribune|date=May 30, 2017}} 20. ^{{cite news|title=Cyclone Mora Wreaks Devastation Along Myanmar’s West Coast, Killing One|url=http://www.rfa.org/english/news/myanmar/cyclone-mora-wreaks-devastation-along-myanmars-western-coast-killing-one-05312017161013.html|accessdate=June 14, 2017|work=Radio Free Asia|date=May 31, 2017}} 21. ^{{cite web|title=Sri Lanka: UN agency deploys rapid assessment teams to assist in wake of monsoon floods, landslides |url=https://www.un.org/apps/news/story.asp?NewsID=56866#.WUYh3BE6zIU|date=May 30, 2017}} 22. ^{{cite news|title=EU announces €1.5 million in assistance to victims of Cyclone Mora in Bangladesh, Myanmar |url=http://bdnews24.com/bangladesh/2017/07/06/eu-announces-1.5-million-in-assistance-to-victims-of-cyclone-mora-in-bangladesh-myanmar |accessdate=June 1, 2017|date=May 31, 2017}} 23. ^{{cite news|title=Death toll up to 146 in Bangladesh landslides|url=https://www.businesslive.co.za/bd/world/asia/2017-06-14-death-toll-up-to-146-in-bangladesh-landslides/|accessdate=June 14, 2017|work=Business Day|agency=Agence France-Presse|date=June 14, 2017}} 24. ^{{cite report|author=John P. Cangialosi|date=June 13, 2017|accessdate=June 19, 2017|publisher=National Hurricane Center|title=Tropical Weather Outlook|url=http://www.nhc.noaa.gov/archive/text/TWOAT/2017/TWOAT.201706131136.txt|format=TXT}} 25. ^{{cite web|title=5 still missing, 530 displaced one month after Kyushu’s deadly rain|url=http://www.theborneopost.com/2017/08/05/5-still-missing-530-displaced-one-month-after-kyushus-deadly-rain/|date=August 5, 2017|publisher=The Borneo Post}} 26. ^{{cite web|title=One dead, 20,000 evacuated as tropical storm Nanmadol batters western Japan|url=http://www.thesundaily.my/news/2017/07/05/one-dead-20000-evacuated-tropical-storm-nanmadol-batters-western-japan|date=July 5, 2017|publisher=Sun Daily|location=Japan}} 27. ^{{cite web|title=Death toll from Kyushu rains hits 22 as searches, evacuations continue|url=https://mainichi.jp/english/articles/20170710/p2a/00m/0na/007000c|date=July 9, 2017|publisher=The Mainichi|location=Japan|accessdate=July 10, 2017}} 28. ^{{cite web|title=In Kyushu floods, destruction was magnified by fast-flowing driftwood|url=http://www.japantimes.co.jp/news/2017/07/12/national/kyushu-floods-destruction-magnified-fast-flowing-driftwood/#.WWYgvIiGPIV|publisher=The Japan Times|date=July 12, 2017}} 29. ^{{cite web|url=http://gulftoday.ae/portal/6ae68744-cd78-4427-b1c0-e76a27a9c6d0.aspx|title=gulftoday.ae – Tropical Storm Talas hits Vietnam, leaves one dead|website=gulftoday.ae}} 30. ^{{cite web|url=http://e.vnexpress.net/news/news/tropical-storm-talas-kills-14-in-vietnam-3614680.html|title=9 dead or missing in Vietnam as infrastructure is damaged – VnExpress International|first=|last=VnExpress|publisher=}} 31. ^{{Cite news|url=http://www.hindustantimes.com/india-news/in-pics-flood-situation-in-odisha-worsens-four-dead/story-9JKAqRnXsNMRxGnRm7t09H.html|title=In Pics: Flood Situation in Odisha worsens, four dead|date=2017-07-19|work=hindustantimes.com/|access-date=2017-07-19|language=en}} 32. ^{{Cite news|url=http://www.news.com.au/world/asia/two-killed-as-typhoon-noru-slams-southern-japan/news-story/198056fca4d05a8f6b5ecb1f9ca7e07f|title=Two killed as typhoon slams southern Japan|work=NewsComAu|access-date=2017-08-06|language=en}} 33. ^{{Cite web |url=https://www.theweathernetwork.com/news/articles/pacific-ocean-typhoon-noru-explodes-strongest-storm-of-2017-japan-impact-potential/84716 |title=Deaths reported as weakening Noru slams Japan |last=Martins |first=Daniel |date=August 7, 2017 |website=The Weather Network |language=en-CA |access-date=2017-09-12}} 34. ^{{cite web|url=http://reliefweb.int/report/thailand/sonca-storm-leaves-ruinous-signature|title=Sonca storm leaves ruinous signature|date=28 July 2017|publisher=|accessdate=23 August 2017}} 35. ^{{cite web|url=http://www.bangkokpost.com/learning/advanced/1296158/worst-floods-in-2-decades-hit-sakon-nakhon|title=Worst floods in 2 decades hit Sakon Nakhon (Updated)|first=Bangkok Post Public Company|last=Limited|publisher=|accessdate=23 August 2017}} 36. ^{{cite web|url=https://www.reuters.com/article/us-thailand-floods/thailand-floods-kill-23-cause-damage-estimated-at-300-million-idUSKBN1AJ1KT|title=Thailand floods kill 23, cause damage estimated at $300 million|date=3 August 2017|publisher=|via=Reuters}} 37. ^{{cite web|url=http://focustaiwan.tw/news/aeco/201707300007.aspx|title=Agricultural losses from Typhoon Nesat exceed NT$60 million – Focus Taiwan|first=|last=|publisher=}} 38. ^{{cite news|title=16 dead, 20 lakh affected in West Bengal floods|url=http://www.newindianexpress.com/nation/2017/jul/28/16-dead-20-lakh-affected-in-west-bengal-floods-1634591.html|accessdate=July 28, 2017|date=July 28, 2017}} 39. ^{{cite news|title=Eight killed as heavy rains lash Jharkhand|url=http://m.hindustantimes.com/india-news/eight-killed-as-heavy-rains-lash-jharkhand/story-BH4WwCDJ9YLWRvxe81IPkO.html|accessdate=July 28, 2017|publisher=hindusthantimes|date=July 28, 2017}} 40. ^{{cite report|author1=Richard J. Pasch|author2=Andrew S. Latto|author3=John P. Cangialosi|publisher=National Hurricane Center|date=April 2, 2018|accessdate=April 8, 2018|title=Tropical Storm Emily|series=Tropical Cyclone Report|url=https://www.nhc.noaa.gov/data/tcr/AL062017_Emily.pdf|format=PDF}} External linksRegional Specialized Meteorological Centers
11 : Tropical cyclones by year|2017 Atlantic hurricane season|2017 Pacific hurricane season|2017 Pacific typhoon season|2017 North Indian Ocean cyclone season|2016–17 Australian region cyclone season|2017–18 Australian region cyclone season|2016–17 South Pacific cyclone season|2017–18 South Pacific cyclone season|2016–17 South-West Indian Ocean cyclone season|2017–18 South-West Indian Ocean cyclone season |
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