Colorado State University

Forecasting and Research Resources

Resources Created by the CSU Tropical Group

CSU Resources

CSU Tropical Cyclone Impact Probabilities

We are debuting a new methodology for calculating the impacts of tropical cyclones for each state and county/parish along the Gulf and East Coasts, tropical cyclone-prone provinces of Canada, islands in the Caribbean and countries in Central America. We have used NOAA’s Historical Hurricane Tracks website and selected all named storms, hurricanes and major hurricanes that have tracked within 50 miles of each landmass from 1880-2020. This approach allows for tropical cyclones that may have tracked through an immediately adjacent region to be counted for all regions that were in close proximity to the location of the storm. We then fit the observed frequency of storms within 50 miles of each landmass using a Poisson distribution to calculate the climatological odds of one or more events within 50 miles. Net landfall probability is shown to be linked to the overall Atlantic basin Net Tropical Cyclone activity (NTC). NTC is a combined measure of the year-to-year mean of six indices of hurricane activity, each expressed as a percentage difference from the 1950-2000 climatological average. Long-term statistics show that, on average, the more active the overall Atlantic basin hurricane season is, the greater the probability of U.S. hurricane landfall. Use the drop-down to obtain the climatological odds of storms tracking within 50 miles of each state along the Gulf and East Coasts along with the odds for the remainder of the 2021 season based on our current forecast for a NTC of 154 after 8 July. All of the calculations are also available in a downloadable spreadsheet.

Tropical Cyclone Impact Probabilities (defined as one or more storms within 50 miles of location)

State County 2021 Forecast Probability of Named Storm impact (after 5 August) 2021 Forecast Probability of Hurricane impact (after 5 August) 2021 Forecast Probability of Major Hurricane impact (after 5 August) Average Probability of Named Storm impact Average Probability of Hurricane impact Average Probability of Major Hurricane impact # Named Storms 1880-2020 # Hurricanes 1880-2020 # Major Hurricanes 1880-2020
Texas 74% 48% 22% 61% 36% 16% 133 64 24
Texas Cameron 33% 18% 7% 24% 13% 5% 39 20 7
Texas Willacy 30% 18% 8% 22% 13% 6% 35 19 8
Texas Kenedy 33% 19% 10% 24% 14% 7% 39 21 10
Texas Kleberg 31% 18% 8% 23% 13% 6% 36 19 8
Texas San Patricio 29% 16% 7% 21% 11% 5% 34 17 7
Texas Nueces 33% 19% 9% 24% 14% 6% 39 21 9
Texas Aransas 26% 15% 7% 19% 11% 5% 30 16 7
Texas Calhoun 34% 18% 7% 25% 13% 5% 41 20 7
Texas Matagorda 42% 24% 11% 32% 17% 8% 54 27 11
Texas Brazoria 40% 22% 7% 30% 16% 5% 51 25 7
Texas Galveston 44% 25% 8% 34% 19% 6% 58 29 8
Texas Chambers 40% 22% 7% 30% 16% 5% 51 24 7
Texas Jefferson 39% 22% 6% 29% 16% 4% 49 25 6
Texas Harris 39% 22% 6% 29% 16% 4% 49 24 6
Texas Refugio 29% 13% 6% 21% 9% 4% 34 14 6
Louisiana 78% 50% 20% 66% 38% 14% 151 68 22
Louisiana Cameron 42% 21% 7% 31% 15% 5% 53 23 7
Louisiana Vermilion 41% 22% 7% 31% 16% 5% 52 24 7
Louisiana Iberia 45% 22% 7% 34% 16% 5% 59 25 7
Louisiana St. Mary 46% 24% 6% 35% 17% 4% 61 27 6
Louisiana Terrebonne 55% 29% 9% 43% 21% 6% 79 34 9
Louisiana Lafourche 51% 28% 8% 40% 21% 6% 71 33 8
Louisiana Jefferson 49% 26% 8% 38% 19% 6% 67 30 8
Louisiana Plaquemines 56% 30% 10% 43% 22% 7% 80 35 10
Louisiana St. Bernard 53% 28% 11% 41% 21% 8% 74 33 11
Louisiana Orleans 42% 21% 6% 32% 15% 4% 54 23 6
Louisiana St. Tammany 44% 22% 6% 34% 16% 4% 58 24 6
Mississippi 66% 38% 11% 53% 28% 8% 106 47 11
Mississippi Hancock 42% 20% 6% 32% 14% 4% 54 22 6
Mississippi Harrison 45% 23% 6% 34% 17% 4% 59 26 6
Mississippi Jackson 43% 22% 8% 32% 16% 6% 55 24 8
Alabama 71% 37% 11% 58% 28% 8% 123 46 12
Alabama Mobile 49% 25% 8% 38% 18% 6% 67 28 8
Alabama Baldwin 53% 25% 9% 41% 18% 6% 75 28 9
Florida 94% 69% 39% 86% 56% 29% 274 115 48
Florida Escambia 50% 24% 10% 39% 17% 7% 69 27 10
Florida Santa Rosa 46% 22% 8% 35% 16% 6% 61 25 8
Florida Okaloosa 47% 22% 8% 36% 16% 6% 62 24 8
Florida Walton 46% 23% 8% 35% 17% 6% 60 26 8
Florida Bay 44% 23% 7% 34% 17% 5% 58 26 7
Florida Gulf 45% 21% 4% 34% 15% 3% 59 23 4
Florida Franklin 46% 19% 4% 35% 14% 3% 60 21 4
Florida Wakulla 42% 17% 2% 32% 12% 1% 54 18 2
Florida Jefferson 43% 13% 1% 33% 9% 1% 56 14 1
Florida Taylor 47% 15% 1% 36% 11% 1% 62 16 1
Florida Dixie 46% 18% 2% 35% 13% 1% 61 19 2
Florida Levy 47% 20% 4% 36% 14% 3% 62 22 4
Florida Citrus 45% 23% 4% 34% 17% 3% 59 26 4
Florida Hernando 44% 23% 6% 34% 17% 4% 58 26 6
Florida Pasco 47% 23% 7% 36% 17% 5% 63 26 7
Florida Pinellas 48% 23% 10% 36% 17% 7% 64 26 10
Florida Hillsborough 47% 24% 10% 36% 17% 7% 63 27 10
Florida Manatee 48% 25% 11% 37% 18% 8% 65 28 11
Florida Sarasota 47% 23% 11% 36% 17% 8% 63 26 12
Florida Charlotte 49% 23% 14% 38% 17% 10% 67 26 15
Florida Lee 51% 25% 16% 40% 18% 11% 71 28 17
Florida Collier 54% 29% 18% 42% 21% 13% 77 34 19
Florida Monroe 65% 40% 23% 52% 30% 17% 103 50 26
Florida Miami-Dade 55% 31% 19% 43% 23% 14% 79 37 21
Florida Broward 54% 31% 15% 42% 23% 11% 77 36 16
Florida Palm Beach 54% 29% 12% 42% 21% 9% 77 34 13
Florida Martin 49% 24% 10% 38% 17% 7% 67 27 10
Florida St. Lucie 47% 21% 8% 36% 15% 6% 63 23 8
Florida Indian River 48% 23% 9% 37% 17% 6% 65 26 9
Florida Brevard 55% 23% 8% 42% 17% 6% 78 26 8
Florida Volusia 50% 23% 3% 39% 17% 2% 69 26 3
Florida Flagler 45% 20% 3% 34% 14% 2% 59 22 3
Florida St. Johns 50% 21% 5% 38% 15% 3% 68 23 5
Florida Duval 49% 20% 5% 38% 14% 3% 67 22 5
Florida Nassau 50% 18% 5% 39% 13% 3% 69 20 5
Georgia 76% 40% 9% 63% 30% 6% 140 51 9
Georgia Camden 52% 17% 5% 40% 12% 3% 72 18 5
Georgia Glynn 48% 14% 5% 36% 10% 3% 64 15 5
Georgia McIntosh 50% 19% 4% 39% 14% 3% 69 21 4
Georgia Liberty 52% 20% 4% 40% 14% 3% 72 22 4
Georgia Bryan 50% 19% 3% 39% 14% 2% 69 21 3
Georgia Chatham 52% 20% 4% 40% 14% 3% 72 22 4
South Carolina 70% 39% 11% 57% 29% 8% 118 48 12
South Carolina Jasper 50% 19% 4% 39% 14% 3% 69 21 4
South Carolina Beaufort 49% 20% 5% 38% 14% 3% 67 22 5
South Carolina Colleton 51% 23% 6% 40% 17% 4% 71 26 6
South Carolina Charleston 56% 28% 7% 43% 21% 5% 80 33 7
South Carolina Georgetown 48% 24% 6% 36% 17% 4% 64 27 6
South Carolina Horry 50% 28% 6% 39% 20% 4% 69 32 6
North Carolina 80% 50% 11% 68% 38% 8% 159 68 11
North Carolina Brunswick 53% 28% 6% 41% 20% 4% 74 32 6
North Carolina New Hanover 51% 28% 6% 40% 20% 4% 71 32 6
North Carolina Pender 54% 30% 6% 42% 22% 4% 76 35 6
North Carolina Onslow 53% 30% 5% 41% 22% 3% 74 35 5
North Carolina Carteret 61% 37% 6% 48% 28% 4% 92 46 6
North Carolina Hyde 63% 37% 5% 50% 27% 3% 97 45 5
North Carolina Dare 61% 37% 6% 49% 27% 4% 94 45 6
North Carolina Currituck 47% 20% 2% 36% 14% 1% 63 22 2
North Carolina Beaufort 49% 20% 1% 37% 14% 1% 66 22 1
North Carolina Bertie 44% 14% 1% 33% 10% 1% 57 15 1
North Carolina Camden 46% 18% 1% 35% 13% 1% 61 20 1
North Carolina Chowan 39% 16% 1% 29% 11% 1% 49 17 1
North Carolina Craven 54% 27% 1% 42% 20% 1% 76 31 1
North Carolina Gates 34% 11% <1% 25% 8% <1% 41 12 0
North Carolina Hertford 37% 11% <1% 28% 8% <1% 46 11 0
North Carolina Pamlico 52% 27% 2% 40% 20% 1% 73 31 2
North Carolina Pasquotank 43% 18% 1% 32% 13% 1% 55 19 1
North Carolina Perquimans 41% 17% 1% 31% 12% 1% 52 18 1
North Carolina Tyrrell 48% 23% 2% 36% 17% 1% 64 26 2
North Carolina Washington 44% 18% 1% 34% 13% 1% 58 19 1
Virginia 58% 27% 2% 46% 20% 1% 86 31 2
Virginia Virginia Beach 40% 17% <1% 30% 12% <1% 50 18 0
Virginia Northampton 36% 12% <1% 27% 9% <1% 44 13 0
Virginia Accomack 36% 12% <1% 27% 9% <1% 44 13 0
Virginia Gloucester 29% 7% <1% 21% 5% <1% 34 7 0
Virginia Lancaster 27% 5% <1% 20% 3% <1% 31 5 0
Virginia Mathews 29% 7% <1% 21% 5% <1% 34 7 0
Virginia Middlesex 28% 5% <1% 21% 3% <1% 33 5 0
Virginia Northumberland 26% 5% <1% 19% 3% <1% 30 5 0
Virginia York 33% 9% <1% 25% 6% <1% 40 9 0
Virginia Hampton 36% 11% <1% 27% 8% <1% 44 12 0
Virginia Newport News 30% 8% <1% 22% 6% <1% 35 8 0
Virginia Norfolk 35% 11% <1% 26% 8% <1% 42 12 0
Virginia Poquoson 32% 9% <1% 24% 6% <1% 38 9 0
Virginia Portsmouth 32% 10% <1% 24% 7% <1% 38 10 0
Virginia Suffolk 34% 11% <1% 25% 8% <1% 41 11 0
Maryland 41% 15% 1% 31% 11% 1% 52 16 1
Maryland Worcester 32% 12% 1% 24% 9% 1% 38 13 1
Maryland Anne Arundel 17% 1% <1% 12% 1% <1% 18 1 0
Maryland Baltimore 14% 1% <1% 10% 1% <1% 15 1 0
Maryland Calvert 19% 2% <1% 14% 1% <1% 21 2 0
Maryland Cecil 17% 1% <1% 12% 1% <1% 18 1 0
Maryland Dorchester 23% 5% <1% 17% 3% <1% 26 5 0
Maryland Harford 14% 0% <1% 10% 0% <1% 15 0 0
Maryland Kent 17% 0% <1% 12% 0% <1% 18 0 0
Maryland Queen Anne's 18% 1% <1% 13% 1% <1% 19 1 0
Maryland St. Mary's 24% 3% <1% 17% 2% <1% 27 3 0
Maryland Somerset 28% 9% <1% 21% 6% <1% 33 9 0
Maryland Talbot 18% 1% <1% 13% 1% <1% 20 1 0
Maryland Wicomico 25% 6% <1% 18% 4% <1% 28 6 0
Maryland Baltimore City 11% 1% <1% 8% 1% <1% 12 1 0
Delaware 31% 9% 1% 23% 6% 1% 36 9 1
Delaware Sussex 28% 9% 1% 20% 6% 1% 32 9 1
Delaware Kent 21% 4% <1% 15% 3% <1% 23 4 0
Delaware New Castle 17% 1% <1% 12% 1% <1% 18 1 0
New Jersey 31% 10% 1% 23% 7% 1% 36 10 1
New Jersey Cape May 25% 10% 1% 18% 7% 1% 28 10 1
New Jersey Atlantic 24% 10% 1% 17% 7% 1% 27 10 1
New Jersey Ocean 25% 10% 1% 18% 7% 1% 28 10 1
New Jersey Monmouth 22% 9% 1% 16% 6% 1% 25 9 1
New Jersey Burlington 22% 8% <1% 16% 6% <1% 25 8 0
New Jersey Essex 18% 4% <1% 13% 3% <1% 20 4 0
New Jersey Hudson 18% 4% <1% 13% 3% <1% 20 4 0
New Jersey Middlesex 19% 5% <1% 14% 3% <1% 21 5 0
New Jersey Salem 17% 2% <1% 12% 1% <1% 18 2 0
New Jersey Union 18% 4% <1% 13% 3% <1% 20 4 0
New York 35% 13% 3% 26% 9% 2% 43 14 3
New York Kings 19% 6% <1% 14% 4% <1% 21 6 0
New York Queens 22% 8% 1% 16% 6% 1% 24 8 1
New York Nassau 22% 8% 2% 16% 6% 1% 24 8 2
New York Suffolk 28% 11% 3% 21% 8% 2% 33 12 3
New York Bronx 21% 7% 1% 15% 5% 1% 23 7 1
New York New York 23% 9% 1% 17% 6% 1% 26 9 1
New York Richmond 21% 7% <1% 15% 5% <1% 23 7 0
New York Westchester 22% 7% 1% 16% 5% 1% 24 7 1
Connecticut 30% 11% 2% 22% 8% 1% 35 11 2
Connecticut Fairfield 24% 9% 2% 17% 6% 1% 27 9 2
Connecticut Middlesex 22% 10% 2% 16% 7% 1% 24 10 2
Connecticut New Haven 28% 11% 2% 20% 8% 1% 32 11 2
Connecticut New London 24% 10% 2% 17% 7% 1% 27 10 2
Rhode Island 28% 11% 2% 20% 8% 1% 32 11 2
Rhode Island Washington/South 25% 9% 2% 18% 6% 1% 28 9 2
Rhode Island Newport 22% 10% 2% 16% 7% 1% 25 10 2
Rhode Island Bristol 19% 8% 2% 14% 6% 1% 21 8 2
Rhode Island Kent 21% 8% 1% 15% 6% 1% 23 8 1
Rhode Island Providence 22% 9% 1% 16% 6% 1% 25 9 1
Massachusetts 43% 20% 4% 33% 14% 3% 56 22 4
Massachusetts Dukes 27% 11% 2% 20% 8% 1% 31 11 2
Massachusetts Norfolk 21% 7% 1% 15% 5% 1% 23 7 1
Massachusetts Nantucket 26% 13% 2% 19% 9% 1% 30 14 2
Massachusetts Barnstable 23% 12% 2% 17% 9% 1% 26 13 2
Massachusetts Plymouth 22% 10% 2% 16% 7% 1% 25 10 2
Massachusetts Suffolk 20% 7% 1% 14% 5% 1% 22 7 1
Massachusetts Essex 20% 7% 1% 14% 5% 1% 22 7 1
New Hampshire 25% 8% 2% 18% 6% 1% 28 8 2
New Hampshire Rockingham 20% 5% 1% 14% 3% 1% 22 5 1
Maine 29% 10% 2% 21% 7% 1% 34 10 2
Maine York 20% 5% 1% 14% 3% 1% 22 5 1
Maine Cumberland 17% 3% <1% 12% 2% <1% 18 3 0
Maine Sagadahoc 16% 3% <1% 11% 2% <1% 17 3 0
Maine Lincoln 15% 3% <1% 11% 2% <1% 16 3 0
Maine Knox 18% 6% 1% 13% 4% 1% 20 6 1
Maine Hancock 15% 6% 1% 11% 4% 1% 16 6 1
Maine Washington 17% 6% 1% 12% 4% 1% 18 6 1
Maine Waldo 14% 3% <1% 10% 2% <1% 15 3 0
New Brunswick 44% 11% 1% 33% 8% 1% 57 11 1
Nova Scotia 54% 36% 1% 42% 27% 1% 77 44 1
Prince Edward Island 13% 9% <1% 9% 6% <1% 14 9 0
Newfoundland and Labrador 35% 22% 1% 26% 16% 1% 43 24 1
Anguilla 46% 25% 11% 35% 18% 8% 61 28 12
Antigua and Barbuda 37% 21% 10% 28% 15% 7% 46 23 10
Aruba 14% 7% <1% 10% 5% <1% 15 7 0
The Bahamas 91% 66% 40% 81% 53% 30% 237 106 50
Barbados 38% 9% 2% 28% 6% 1% 47 9 2
Belize 54% 26% 9% 42% 19% 6% 76 30 9
Bermuda 51% 35% 16% 40% 26% 11% 71 42 17
Bonaire 11% 5% <1% 8% 3% <1% 11 5 0
Cabo Verde 22% 4% <1% 16% 3% <1% 25 4 0
Cayman Islands 51% 31% 11% 40% 23% 8% 71 37 11
Costa Rica 8% 3% 1% 6% 2% 1% 8 3 1
Cuba 87% 64% 34% 76% 51% 25% 204 102 41
Curacao 12% 6% <1% 9% 4% <1% 13 6 0
Dominica 44% 19% 10% 33% 14% 7% 57 21 10
Dominican Republic 71% 46% 23% 58% 35% 17% 123 61 26
Grenada 37% 10% 1% 28% 7% 1% 46 10 1
Guadeloupe 45% 25% 10% 34% 18% 7% 59 28 10
Guatemala 50% 21% 4% 38% 15% 3% 68 23 4
Haiti 56% 35% 13% 44% 26% 9% 82 42 14
Honduras 77% 37% 15% 64% 28% 11% 146 46 16
Jamaica 59% 31% 11% 46% 23% 8% 88 36 12
Martinique 45% 16% 6% 34% 11% 4% 59 17 6
Mexico 87% 57% 25% 76% 44% 19% 204 83 29
Montserrat 35% 20% 8% 26% 14% 6% 43 22 8
Nicaragua 47% 22% 11% 36% 16% 8% 62 25 11
Panama 2% 1% <1% 1% 1% <1% 2 1 0
Puerto Rico 52% 32% 13% 40% 24% 9% 73 38 14
Saba 33% 21% 9% 24% 15% 6% 39 23 9
Saint Kitts and Nevis 45% 28% 12% 34% 20% 9% 59 32 13
Saint Lucia 52% 14% 5% 40% 10% 3% 73 15 5
Saint Martin 35% 21% 11% 26% 15% 8% 43 23 11
Saint Vincent and the Grenadines 53% 12% 2% 41% 9% 1% 74 13 2
Sint Eustatius 33% 21% 11% 25% 15% 8% 40 23 11
Sint Maarten 35% 21% 11% 26% 15% 8% 43 23 11
Trinidad and Tobago 11% 3% <1% 8% 2% <1% 11 3 0
Turks and Caicos 52% 28% 15% 40% 20% 11% 73 32 16
UK Virgin Islands 50% 30% 14% 39% 22% 10% 69 35 15
US Virgin Islands 44% 26% 11% 33% 19% 8% 57 30 12

CSU Atlantic Multi-Decadal Oscillation (AMO) index

In 2008, Phil Klotzbach and Bill Gray published a paper in Journal of Climate discussing a newly-developed Atlantic Multi-Decadal Oscillation index that utilized a combination of two predictors: 1) Sea surface temperatures (SSTs) in the far North Atlantic from 50-60°N, 50-10°W and 2) sea level pressures (SLPs) in the North Atlantic from 0-50°N, 70-10°W. At present, the index is calculated by weighing the SST component as 60% of the index and the SLP component as the remaining 40%. All values are standardized using the 1981-2010 climatological average as a baseline. Real-time monthly values are calculated from the NCEP/NCAR Reanalysis and are typically updated by the 5th of the following month.

Monthly AMO values AMO_TC relationship

Real-time statistics calculated from operational best tracks of NHC, CPHC and JTWC

Real-Time Tropical Cyclone Statistics





Global Tropical Cyclone Activity for 2021 (2020/2021 for the Southern Hemisphere)

1981-2010 Climatological Activity Through 12 January in Parentheses
Basin Named Storms Named Storm Days Hurricanes Hurricane Days Major Hurricanes Major Hurricane Days Accumulated Cyclone Energy
North Atlantic 19 (0.0) 59.25 (0.2) 7 (0.0) 19.25 (0.0) 4 (0.0) 7.5 (0.0) 96.0 (0.2)
Northeast Pacific 15 (0.0) 50.75 (0.0) 6 (0.0) 18.25 (0.0) 2 (0.0) 4.75 (0.0) 82.2 (0.0)
Northwest Pacific 13 (0.2) 48.0 (0.9) 4 (0.1) 12.5 (0.3) 1 (0.1) 4.25 (0.1) 68.1 (1.5)
North Indian 2 (0.0) 6.0 (0.1) 2 (0.0) 3.25 (0.0) 1 (0.0) 1.5 (0.0) 13.8 (0.1)
Northern Hemisphere 49 (0.2) 164.0 (1.2) 19 (0.1) 53.2 (0.3) 8 (0.1) 18.0 (0.1) 260.1 (1.8)
South Indian 18 (5.9) 79.0 (25.2) 7 (2.5) 22.5 (7.8) 3 (1.1) 9.0 (2.3) 128.5 (38.2)
South Pacific 11 (2.5) 33.0 (10.2) 4 (1.3) 9.25 (4.2) 2 (0.6) 4.0 (1.2) 55.9 (19.1)
Southern Hemisphere 29 (8.4) 112.0 (35.4) 11 (3.8) 31.8 (12.0) 5 (1.7) 13.0 (3.5) 184.4 (57.3)



Individual Basin Tropical Cyclone Activity for 2021 (2020/2021 for the Southern Hemisphere)


Real-Time North Atlantic Ocean Statistics by Storm for 2021

Storm # Name Active Dates Intensity
(kts)
MSLP
(hPa)
Named
Storm
Days
Hurricane
Days
Major
Hurricane
Days
Accumulated
Cyclone
Energy
1 ANA 5/22 - 5/23 2021 40 1006 1.75 0 0 1.01
2 BILL 6/14 - 6/15 2021 50 998 1.25 0 0 0.98
3 CLAUDETTE 6/19 - 6/22 2021 40 1004 1.75 0 0 1.04
4 DANNY 6/28 - 6/29 2021 35 1011 0.5 0 0 0.24
5 ELSA 7/1 - 7/9 2021 75 991 8.5 1.5 0 9.52
6 FRED 8/11 - 8/17 2021 55 993 3.0 0 0 2.09
7 GRACE 8/14 - 8/21 2021 110 962 6.0 2.0 0.5 9.1
8 HENRI 8/16 - 8/22 2021 65 986 6.25 0.75 0 7.72
9 IDA 8/26 - 8/30 2021 130 929 4.25 2.75 1.0 10.82
10 KATE 8/30 - 8/31 2021 40 1004 1.25 0 0 0.65
11 JULIAN 8/29 - 8/29 2021 50 995 0.5 0 0 0.45
12 LARRY 9/1 - 9/11 2021 110 955 10.5 9.25 4.5 32.82
13 MINDY 9/8 - 9/9 2021 40 1004 0.75 0 0 0.4
14 NICHOLAS 9/12 - 9/14 2021 65 991 2.5 0.25 0 2.36
15 ODETTE 9/17 - 9/18 2021 40 1002 1.0 0 0 0.57
16 PETER 9/19 - 9/21 2021 45 1005 2.5 0 0 1.74
17 ROSE 9/19 - 9/22 2021 45 1004 2.5 0 0 1.38
18 SAM 9/23 - 9/26 2021 130 938 3.75 2.75 1.5 12.7
19 TERESA 9/24 - 9/25 2021 40 1008 0.75 0 0 0.44


North Atlantic Ocean storm statistics were last modified: 17:02 MDT 2022-01-12. Statistics calculated from global repository data graciously provided by NCAR RAL Tropical Cyclone Guidance Project.

Our Curated List of Helpful Resources in the TC Community

External Resources

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Model Guidance

  • NCAR Tropical Cyclone Guidance Project – Real-time operational model output whenever tropical cyclones are active anywhere around the globe.
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Satellite Analysis

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Global Tropical Cyclone Statistics

  • Ryan Maue – Real-time global Accumulated Cyclone Energy (ACE) tabulations, along with plots of historical ACE and hurricane frequency.