Tropical cyclones in 2017

During 2017, tropical cyclones formed within seven different tropical cyclone basins, located within various parts of the Atlantic, Pacific and Indian Oceans. During the year, a total of 146 tropical cyclones had formed this year to date. 88 tropical cyclones had been named by either a Regional Specialized Meteorological Center or a Tropical Cyclone Warning Center. The most active basin in the year was the Western Pacific, which documented 27 named systems, the season was a slightly below-average season and the first since 1977 season saw no Category 5-equivalent super typhoon. The Eastern Pacific, despite only amounting to 18 named systems, also was a was significantly less active than the previous three Pacific hurricane seasons. However, the North Atlantic hurricane features 17 named storms, which was costliest tropical cyclone season on record. It also had the fifth-most named storms since reliable records began in 1851 – tied with 1936 – and the most major hurricanes since 2005. The Australian region season experienced the average number of cyclones reaching tropical storm intensity, numbering 11, respectively. Activity across the southern hemisphere's three basins—South-West Indian, Australian, and South Pacific—was spread evenly, with each region recording seven named storms apiece.
The strongest tropical cyclone was Hurricane Maria with a minimum barometric pressure of 908 mbar. The costliest tropical cyclone of the year was Hurricane Harvey in the Atlantic, which struck Houston metropolitan area in August causing US$125 billion in damage, tying with Hurricane Katrina as the costliest tropical cyclone worldwide. The deadliest tropical cyclone of the year was Hurricane Maria in the North Atlantic which killed 3,000 people in Puerto Rico and Dominica.

Global atmospheric and hydrological conditions

For the majority of the year, the tropics were dominated by neutral El Niño–Southern Oscillation conditions, before La Niña conditions set in later in the year. 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.

North Atlantic

Scientists pointed out that the increase of emissions contributes to warmer ocean waters and more moist air for rain. Because of sea level rise it is assumed that the storm surge of Hurricane Irma and other storms will cause greater flooding to vulnerable areas. Data collected by NASA showed that ocean surface temperatures in the path of Irma were above 30 °C, capable of sustaining a Category 5 hurricane.
Prior to affecting the U.S. mainland, Miami’s mayor Tomás Regalado noted on Hurricane Irma, "This is the time to talk about climate change. This is the time that the president and the EPA and whoever makes decisions needs to talk about climate change." A day later the head of the EPA, Scott Pruitt said, "..to discuss the cause and effect of these storms, there’s the… place to do that, it’s not now." Following Irma's landfall, Donald Trump was asked about the connection between hurricanes and climate change, and stated that "We’ve had bigger storms than this." Richard Branson who was directly impacted by hurricane Irma noted, "..hurricanes are the start of things to come. Look, climate change is real. Ninety-nine per cent of scientists know it's real. The whole world knows it's real except for maybe one person in the White House."
United Nations secretary general António Guterres citing the devastation from hurricanes noted in September, "The catastrophic Atlantic hurricane season has been made worse by climate change. Cutting carbon emissions must clearly be part of our response to the disaster. The rise in the surface temperature of the ocean has had an impact on weather patterns and we must do everything possible to bring it down."
The Associated Press looked at the yearly average Accumulated Cyclone Energy, which accounts for wind speed and storm duration to assess hurricane power of the past 30 years and found it to be 41 percent higher than the previous 30 years. They asked several experts about their opinion, James Kossin from NOAA “There’s no question that the storms are stronger than they were 30 years ago.” Climate scientist Stefan Rahmstorf of the Potsdam Institute for Climate Impact Research, “The only caveat being that the increase might be exaggerated somewhat because of undercounting early storms.” Meteorologist Philip Klotzbach noted, “What’s happening with hurricanes — the frequency, the duration, and the energy — is probably a combination of factors caused by both nature and man, a mish-mosh of everything.” Kerry Emanuel who studies hurricanes, told the BBC, "The warming of the climate has increased the underlying probabilities of very heavy rain events like happened in Harvey and very high category hurricanes like Irma. It is just not sensible to say either storm was caused by climate change, but the underlying probabilities are going up."

Summary

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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"
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from:09/02/2017 till:12/02/2017 color:SPAC text:"11F"
from:11/02/2017 till:12/02/2017 color:AUSR text:"17U"
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"
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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"
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"
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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"
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"
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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"
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"
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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"
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"
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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"
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"
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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:15/01/2018 text:Jan. '18
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pos:
text:"This table is based on the"
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text:"tropical cyclone basins"

Systems

January

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
06F	January 2–6	Unspecified	1002	-	-	-
08U	January 3–7	Unspecified	994	Northern Territory, Western Australia	-	-
09U	January 3–15	Unspecified	1003	Cocos Islands, Christmas Island	-	-
10U	January 7–12	Unspecified	1001	Northern Territory	-	-
11U	January 7–8	Unspecified	1000	Queensland	-	-
01W	January 7–16	55	1002	Philippines, Vietnam, Cambodia	$140 thousand	11
07F	January 10–20	Unspecified	998	-	-	-
08F	January 10–11	Unspecified	1009	-	-	-
12U	January 18–19	Unspecified	Unspecified	-	-	-
13U	January 21–25	Unspecified	1009	-	-	-
14U	January 23–31	85	988	Northern Territory, Western Australia	-	-
03	January 27–28	55	1005	-	-	-

February

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Carlos	February 2–10	130	965	-	-	-
Bising	February 3–7	55	1000	-	-	-
09F	February 5–11	Unspecified	999	Fiji	-	-
10F	February 7–11	Unspecified	993	Fiji, Vanuatu	-	-
15U	February 7–11	Unspecified	984	Western Australia	Unknown	2
16U	February 9–10	Unspecified	Unspecified	New Caledonia	-	-
11F	February 9–12	Unspecified	1002	Vanuatu, Fiji	-	-
17U	February 11–12	Unspecified	1004	Northern Territory	-	-
Dineo	February 13–17	140	955	Mozambique, South Africa, Zimbabwe, Botswana, Malawi	$217 million	280
12F	February 15–24	Unspecified	1002	Fiji	-	-
13F	February 15–18	Unspecified	998	-	-	-
14F	February 16–22	55	997	Fiji	-	-
18U	February 16–22	Unspecified	Unspecified	-	-	-
Alfred	February 16–22	85	994	Northern Territory, Queensland	Unknown	Unknown
Bart	February 19–22	75	994	Southern Cook Islands	-	-
16F	February 23–26	Unspecified	1005	-	-	-

March

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Blanche	March 2–7	100	984	Northern Territory, Western Australia	-	-
Enawo	March 2–7	205	932	Madagascar, Réunion	$20 million	99
17F	March 4–5	Unspecified	1006	-	-	-
Fernando	March 6–14	70	992	Rodriques	-	-
21U	March 14–18	Unspecified	Unspecified	-	-	-
TD	March 19–21	Unspecified	1008	Philippines	-	-
18F	March 19–21	Unspecified	1007	-	-	-
22U	March 20–24	95	985	Western Australia	-	-
Caleb	March 23–27	85	989	Cocos Islands	-	-
Debbie	March 23–30	175	949	Queensland, New South Wales, New Zealand	$2.67 billion	14
25U	March 23–26	Unspecified	Unspecified	-	-	-

April

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
19F	April 1–20	Unspecified	988	Samoa, Niue	-	-
Ernie	April 5–10	220	922	-	-	-
27U	April 6–16	55	998	Northern Territory, Western Australia	-	-
Cook	April 6–10	155	961	Vanuatu, New Caledonia, New Zealand	Moderate	1
02W	April 13–20	55	1006	Philippines, Taiwan	$1.7 million	10
Maarutha	April 15–17	75 ³	996	Myanmar, Andaman and Nicobar Islands, Thailand, Yunnan	$23.4 thousand	4
Arlene	April 19–21	85 ⁴	990	-	-	-
Frances	April 21 – May 1	120	980	New Guinea, Maluku, Northern Territory, Timor, Western Australia	-	-
Muifa	April 22–29	65	1002	-	-	-
Greg	April 29 – May 3	65	997	-	-	-

May

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Donna	May 1–10	205	935	Solomon Islands, Vanuatu, Fiji, New Caledonia, New Zealand	Significant	2
Ella	May 7–14	110	977	Samoan Islands, Tonga, Wallis and Futuna	-	-
Adrian	May 9–10	75 ⁴	1004	-	-	-
Mora	May 28–31	110 ³	978	Sri Lanka, Andaman and Nicobar Islands, East India, Northeast India, Bangladesh, Myanmar, Bhutan, Tibet	$1.36 billion	135
Beatriz	May 31 – June 2	75 ⁴	1001	Southwestern Mexico	$3.7 million	7

June

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Merbok	June 10–13	100	985	Philippines, South China	$90.8 million	-
Calvin	June 11–13	75 ⁴	1004	Southwestern Mexico, Guatemala	Unknown	-
BOB 03	June 11–13	55 ³	988	Northeast India, Bangladesh	$223 million	170
Bret	June 19–20	85 ⁴	1007	Guyana, Venezuela, Trinidad and Tobago, Windward Islands	≥$3 million	2
Cindy	June 20–23	95 ⁴	991	Honduras, Belize, Cayman Islands, Yucatán Peninsula, Cuba, Southern United States, Eastern United States	$25 million	2
Dora	June 25–28	165 ⁴	974	Southwestern Mexico	Minimum	-
TD	June 29 – July 1	Unspecified	1008	Japan	-	-

July

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Nanmadol	July 1–4	100	985	Japan	$1.99 billion	41
TD	July 4–7	55	1010	Taiwan, Ryukyu Islands	-	-
Four	July 5–7	45 ⁴	1009	-	-	-
Eugene	July 7–12	185 ⁴	966	Baja California Peninsula, California	-	-
Fernanda	July 12–22	230 ⁴	948	Hawaii	-	-
TD	July 13–16	55	1006	-	-	-
Talas	July 14–17	95	985	Hainan, Indochina	$80.1 million	14
Don	July 17–18	85 ⁴	1005	Windward Islands, Barbados, Trinidad and Tobago	-	-
Eight-E	July 17–20	55 ⁴	1007	-	-	-
Greg	July 17–26	95 ⁴	1000	-	-	-
BOB 04	July 18–19	45 ³	992	Orissa, Madhya Pradesh, Chhattisgarh	$34.3 million	7
Noru	July 19 – August 8	175	935	Japan	$100 million	2
Kulap	July 20–28	75	1002	-	-	-
Hilary	July 21–30	175 ⁴	969	Southwestern Mexico	-	-
Sonca	July 21–29	65	994	Hainan, Indochina	$306 million	37
Roke	July 21–23	65	1002	Philippines, Taiwan, South China	-	-
Irwin	July 22 – August 1	150 ⁴	970	-	-	-
Nesat	July 25–30	150	960	Philippines, Ryukyu Islands, Taiwan, East China	$281 million	3
TD	July 25–29	55	1006	-	-	-
LAND 01	July 26–27	45 ³	992	West Bengal, Jharkhand, Madhya Pradesh	$2.19 billion	152
Haitang	July 27 – August 2	85	985	Taiwan, East China	$3.77 million	-
Emily	July 30 – August 1	95 ⁴	1001	Florida	$10 million	-
Nalgae	July 31 – August 5	85	990	-	-	-

August

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Eleven-E	August 4–5	55 ⁴	1006	-	-	-
Franklin	August 7–10	140 ⁴	981	Nicaragua, Honduras, Guatemala, Cayman Islands, Belize, Yucatán Peninsula, Central Mexico	$15 million	-
01U	August 8	35	1005	-	-	-
Banyan	August 10–17	150	955	-	-	-
Jova	August 12–14	65 ⁴	955	Western Mexico	-	-
Gert	August 12–17	175 ⁴	962	Bermuda, East Coast of the United States, Atlantic Canada	-	2
Harvey	August 17 – September 1	215 ⁴	937	Barbados, Suriname, Guyana, Windward Islands, Jamaica, Cayman Islands, Nicaragua, Belize, Yucatán Peninsula, Northeastern Mexico, Southern United States, Eastern United States	$125 billion	107
Hato	August 19–24	140	965	Philippines, Taiwan, South China, Vietnam	$6.4 billion	24
Pakhar	August 24–27	100	985	Philippines, South China, Vietnam, Thailand	$115 million	13
TD	August 25–26	Unspecified	1002	Vietnam	-	-
Sanvu	August 27 – September 3	150	955	Mariana Islands, Ogasawara Islands	Unknown	1
TD	August 28–29	55	1002	Philippines	Unknown	-
Mawar	August 30 – September 4	95	990	Philippines, South China	$1.53 million	-
Irma	August 30 – September 12	285 ⁴	914	Cape Verde, Leeward Islands, Puerto Rico, Hispaniola, Turks and Caicos Islands, The Bahamas, Cuba, Southeastern United States, Northeastern United States	$64.76 billion	134
Lidia	August 31 – September 3	100 ⁴	986	Western Mexico, Baja California Peninsula, Arizona, California	$36.1 million	20

September

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Guchol	September 3–7	65	1000	Philippines, Taiwan, East China	-	-
Jose	September 5–22	250	938	Leeward Islands, East Coast of the United States	$2.84 million	0
Katia	September 5–9	165	972	Eastern Mexico	Unknown	3
Talim	September 8–17	175	935	Mariana Islands, Taiwan, East China, Japan	$750 million	5
Doksuri	September 10–16	150	955	Philippines, Hainan, Indochina, Bangladesh	$819 million	45
Otis	September 11–19	185	965	-	-	-
Max	September 13–15	150	980	Southern Mexico	$19.8 million	1
Norma	September 14–20	120	985	Baja California Peninsula	-	-
Lee	September 14–30	185	962	-	-	-
Maria	September 16–30	280	908	Lesser Antilles, Puerto Rico, Hispaniola, Turks and Caicos Islands, The Bahamas, Southeastern United States, Mid-Atlantic States, United Kingdom, Ireland, France, Spain	$91.606 billion	3,057
22W	September 23–25	55	1002	Philippines, South China, Vietnam	Minimal	-
Pilar	September 23–25	85	1000	Western Mexico	Minimal	-

October

Storm aame	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Ramon	October 3-4	75	1002	Southern Mexico	-	-
Nate	October 4-9	150	981	Central America, Cayman Islands, Cuba, Yucatán Peninsula, Gulf Coast of the United States, East Coast of the United States, Atlantic Canada	$787 Million	48
23W	October 7-10	45	1000	Philippines, Hainan, Indochina	$602 Million	109
LAND 02	October 9-10	45	996	Bangladesh, West Bengal, Jharkhand, Odisha, Andhra Pradesh	Unknown	7
Ophelia	October 9-16	185	959	Azores, Portugal, Spain, France, Ireland, United Kingdom, Norway, Sweden, Finland, Estonia, and Russia	> $87.7 million	3
Khanun	October 11-16	175	955	Philippines, Taiwan, South China, Vietnam	$373 million	1
Lan	October 15-23	250	915	Caroline Islands, Philippines, Japan, South Korea	$2 Billion	17
26W	October 18-19	45	1002	Philippines	Minimal	14
BOB 05	October 19-22	45	997	Odisha, West Bengal, Northeastern India, Bangladesh	Unknown	1
Saola	October 22-29	120	975	Caroline Islands, Japan	$250 Million	-
Selma	October 27-28	65	1004	El Salvador, Honduras, Nicaragua	Unknown	17
Philippe	October 28-29	65	1000	Central America, Cayman Islands, Yucatán Peninsula, Cuba, Florida	Minimal	-
29W	October 30-November 7	55	1004	Vietnam, Cambodia, Thailand, Malaysia	Minimal	7
Damrey	October 31-November 4	165	970	Philippines, Vietnam, Cambodia, Thailand	$1.03 Billion	151

November

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
Rina	November 5-9	95	991	-	-	-
Haikui	November 7-13	75	998	Philippines, South China, Central Vietnam	$4.26 Million	-
BOB 06	November 15-17	45	1000	Odisha, West Bengal, Andhra Pradesh	Unknown	20
Kirogi	November 16-19	75	1000	Philippines, Malaysia, Indochina	$10 Million	10
Numa	November 16-20	100	995	United Kingdom, Ireland, France, Italy, Tunisia, Greece, Turkey	$100 Million	22
Cempaka	November 22-29	65	998	Central Java, Special Region of Yogyakarta, East Java, Bali, Banten, West Java	$74 Million	41
Dahlia	November 26-December 4	100	985	Sumatra, Java	-	-
Ockhi	November 29-December 6	185	976	Sri Lanka, India, Maldives	$920 Million	318

December

Storm name	Dates active	Max wind km/h	Min pressure	Areas affected	Damage	Deaths	Refs
05U	December 1—2	Unspecified	Not specified	-	-	-
BOB 08	December 6—9	55	1002	Southern Thailand, Northern Malaysia, Aceh, Andaman and Nicobar Islands, Odisha	Unknown	20
Guará	December 9—11	75	996	Brazil	-	-
Kai-tak	December 13—23	75	995	Caroline Islands, Philippines, Malaysia	>74.3 million	83
02F	December 16—18	Not Specified	1003	-	-	-
03F	December 17—19	Not Specified	1000	-	-	-
04F	December 20—26	Not Specified	998	Fiji	-	-
Tembin	December 20—26	130	970	Caroline Islands, Philippines, Malaysia, Vietnam	>42 million	266
Hilda	December 26—29	100	980	Western Australia	Minimal	-

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