100+ datasets found
  1. Recent Hurricanes, Cyclones and Typhoons

    • resilience.climate.gov
    • pacificgeoportal.com
    • +21more
    Updated Jun 12, 2019
    + more versions
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    Esri (2019). Recent Hurricanes, Cyclones and Typhoons [Dataset]. https://resilience.climate.gov/maps/adfe292a67f8471a9d8230ef93294414
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    Dataset updated
    Jun 12, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Earth
    Description

    This layer features tropical storm (hurricanes, typhoons, cyclones) tracks, positions, and observed wind swaths from the past hurricane season for the Atlantic, Pacific, and Indian Basins. These are products from the National Hurricane Center (NHC) and Joint Typhoon Warning Center (JTWC). They are part of an archive of tropical storm data maintained in the International Best Track Archive for Climate Stewardship (IBTrACS) database by the NOAA National Centers for Environmental Information.Data SourceNOAA National Hurricane Center tropical cyclone best track archive.Update FrequencyWe automatically check these products for updates every 15 minutes from the NHC GIS Data page.The NHC shapefiles are parsed using the Aggregated Live Feeds methodology to take the returned information and serve the data through ArcGIS Server as a map service.Area CoveredWorldWhat can you do with this layer?Customize the display of each attribute by using the ‘Change Style’ option for any layer.Run a filter to query the layer and display only specific types of storms or areas.Add to your map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools like ‘Enrich Data’ on the Observed Wind Swath layer to determine the impact of cyclone events on populations.Visualize data in ArcGIS Insights or Operations Dashboards.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

  2. P

    Extreme Events > Natural Disasters > Hurricane Dataset

    • paperswithcode.com
    Updated Jun 29, 2023
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    Ashkan Farhangi; Jiang Bian; Arthur Huang; Haoyi Xiong; Jun Wang; Zhishan Guo, Extreme Events > Natural Disasters > Hurricane Dataset [Dataset]. https://paperswithcode.com/dataset/hurricane
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    Dataset updated
    Jun 29, 2023
    Authors
    Ashkan Farhangi; Jiang Bian; Arthur Huang; Haoyi Xiong; Jun Wang; Zhishan Guo
    Description

    A new spatio-temporal benchmark dataset (Hurricane), is suited for forecasting during extreme events and anomalies. The dataset is provided through the Florida Department of Revenue which provides the monthly sales revenue (2003-2020) for the tourism industry for all 67 counties of Florida which are prone to annual hurricanes. Furthermore, we aligned and joined the raw time series with the history of hurricane categories (i.e., event intensities) based on time for each county. Note that the hurricane category indicates the maximum sustained wind speed which can result in catastrophic damages as this number goes up (Category 1-6).

  3. d

    Hurricane Resource Reel

    • datasets.ai
    • data.nasa.gov
    • +3more
    Updated Sep 21, 2024
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    National Aeronautics and Space Administration (2024). Hurricane Resource Reel [Dataset]. https://datasets.ai/datasets/hurricane-resource-reel
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    Dataset updated
    Sep 21, 2024
    Dataset authored and provided by
    National Aeronautics and Space Administration
    Description

    This Reel Includes the Following Sections TRT 50:10 Hurricane Overviews 1:02; Hurricane Arthur 15:07; Cyclone Pam 19:48; Typhoon Hagupit 21:27; Hurricane Bertha 22:03; Hurricanes Iselle and Julio 23:15; September 2014 Hurricane Alley 25:07; Satellite Beauty Passes 28:31; Hurricane Katrina 36:32; Global Portrait of Precipitation 42:00; Typhoon Halong 42:36; Typhoon Maysak 43:13; Superstorm Sandy 44:21; Hurricanes Fay and Gonzalo 45:29; RapidScat 46:12; CYGNSS 49:16 Super(s): NASA; Center Contact: Rob Gutro 301-286-4044; HQ Contact: Steve Cole 202-358-0918.

  4. c

    Active Hurricanes, Cyclones and Typhoons

    • resilience.climate.gov
    • national-government.esrij.com
    • +20more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). Active Hurricanes, Cyclones and Typhoons [Dataset]. https://resilience.climate.gov/maps/248e7b5827a34b248647afb012c58787
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esri
    Area covered
    Earth
    Description

    Hurricane tracks and positions provide information on where the storm has been, where it is currently located, and where it is predicted to go. Each storm location is depicted by the sustained wind speed, according to the Saffir-Simpson Scale. It should be noted that the Saffir-Simpson Scale only applies to hurricanes in the Atlantic and Eastern Pacific basins, however all storms are still symbolized using that classification for consistency.Data SourceThis data is provided by NOAA National Hurricane Center (NHC) for the Central+East Pacific and Atlantic, and the Joint Typhoon Warning Center for the West+Central Pacific and Indian basins. For more disaster-related live feeds visit the Disaster Web Maps & Feeds ArcGIS Online Group.Sample DataSee Sample Layer Item for sample data during inactive Hurricane Season!Update FrequencyThe Aggregated Live Feeds methodology checks the Source for updates every 15 minutes. Tropical cyclones are normally issued every six hours at 5:00 AM EDT, 11:00 AM EDT, 5:00 PM EDT, and 11:00 PM EDT (or 4:00 AM EST, 10:00 AM EST, 4:00 PM EST, and 10:00 PM EST).Public advisories for Eastern Pacific tropical cyclones are normally issued every six hours at 2:00 AM PDT, 8:00 AM PDT, 2:00 PM PDT, and 8:00 PM PDT (or 1:00 AM PST, 7:00 AM PST, 1:00 PM PST, and 7:00 PM PST).Intermediate public advisories may be issued every 3 hours when coastal watches or warnings are in effect, and every 2 hours when coastal watches or warnings are in effect and land-based radars have identified a reliable storm center. Additionally, special public advisories may be issued at any time due to significant changes in warnings or in a cyclone. For the NHC data source you can subscribe to RSS Feeds.North Pacific and North Indian Ocean tropical cyclone warnings are updated every 6 hours, and South Indian and South Pacific Ocean tropical cyclone warnings are routinely updated every 12 hours. Times are set to Zulu/UTC.Scale/ResolutionThe horizontal accuracy of these datasets is not stated but it is important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center.Area CoveredWorldGlossaryForecast location: Represents the official NHC forecast locations for the center of a tropical cyclone. Forecast center positions are given for projections valid 12, 24, 36, 48, 72, 96, and 120 hours after the forecast's nominal initial time. Click here for more information.

    Forecast points from the JTWC are valid 12, 24, 36, 48 and 72 hours after the forecast’s initial time.Forecast track: This product aids in the visualization of an NHC official track forecast, the forecast points are connected by a red line. The track lines are not a forecast product, as such, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center. Click here for more information.The Cone of Uncertainty: Cyclone paths are hard to predict with absolute certainty, especially days in advance.

    The cone represents the probable track of the center of a tropical cyclone and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is scaled so that two-thirds of the historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center. Click here for more information. Now includes 'Danger Area' Polygons from JTWC, detailing US Navy Ship Avoidance Area when Wind speeds exceed 34 Knots!Coastal Watch/Warning: Coastal areas are placed under watches and warnings depending on the proximity and intensity of the approaching storm.Tropical Storm Watch is issued when a tropical cyclone containing winds of 34 to 63 knots (39 to 73 mph) or higher poses a possible threat, generally within 48 hours. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. The watch does not mean that tropical storm conditions will occur. It only means that these conditions are possible.Tropical Storm Warning is issued when sustained winds of 34 to 63 knots (39 to 73 mph) or higher associated with a tropical cyclone are expected in 36 hours or less. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding.Hurricane Watch is issued when a tropical cyclone containing winds of 64 knots (74 mph) or higher poses a possible threat, generally within 48 hours. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. The watch does not mean that hurricane conditions will occur. It only means that these conditions are possible.Hurricane Warning is issued when sustained winds of 64 knots (74 mph) or higher associated with a tropical cyclone are expected in 36 hours or less. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. A hurricane warning can remain in effect when dangerously high water or a combination of dangerously high water and exceptionally high waves continue, even though winds may be less than hurricane force.RevisionsMar 13, 2025: Altered 'Forecast Error Cone' layer to include 'Danger Area' with updated symbology.Nov 20, 2023: Added Event Label to 'Forecast Position' layer, showing arrival time and wind speed localized to user's location.Mar 27, 2022: Added UID, Max_SS, Max_Wind, Max_Gust, and Max_Label fields to ForecastErrorCone layer.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

  5. NOAA/WDS Paleoclimatology - Southwest Florida Hurricane Database

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 9, 2023
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    NOAA National Centers for Environmental Information (Point of Contact); NOAA World Data Service for Paleoclimatology (Point of Contact) (2023). NOAA/WDS Paleoclimatology - Southwest Florida Hurricane Database [Dataset]. https://catalog.data.gov/dataset/noaa-wds-paleoclimatology-southwest-florida-hurricane-database2
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    Dataset updated
    Jun 9, 2023
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Southwest Florida
    Description

    This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Historical. The data include parameters of historical with a geographic location of Florida, United States Of America. The time period coverage is from 102 to -54 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

  6. a

    Active Hurricanes, Cyclones, and Typhoons

    • hub.arcgis.com
    Updated Jun 29, 2023
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    MapMaker (2023). Active Hurricanes, Cyclones, and Typhoons [Dataset]. https://hub.arcgis.com/maps/939faaccc5fd4a4582a20d56c66a329d
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    Dataset updated
    Jun 29, 2023
    Dataset authored and provided by
    MapMaker
    Area covered
    Description

    Note: This is a real-time dataset. If you do not see any data on the map, there may not be an event taking place. The Atlantic hurricane season begins on June 1 and ends on November 30, and the eastern Pacific hurricane season begins on May 15 and ends on November 30.Hurricanes, also known as typhoons and cyclones, fall under the scientific term tropical cyclone. Tropical cyclones that develop over the Atlantic and eastern Pacific Ocean are considered hurricanes.Meteorologists have classified the development of a tropical cyclone into four stages: tropical disturbance, tropical depression, tropical storm, and tropical cyclone. Tropical cyclones begin as small tropical disturbances where rain clouds build over warm ocean waters. Eventually, the clouds grow large enough to develop a pattern, where the wind begins to circulate around a center point. As winds are drawn higher, increasing air pressure causes the rising thunderstorms to disperse from the center of the storm. This creates an area of rotating thunderstorms called a tropical depression with winds 62 kmph (38 mph) or less. Systems with wind speeds between 63 kmph (39 mph) and 118 kmph (73 mph) are considered tropical storms. If the winds of the tropical storm hit 119 kmph (74 mph), the storm is classified as a hurricane. Tropical cyclones need two primary ingredients to form: warm water and constant wind directions. Warm ocean waters of at least 26 degrees Celsius (74 degrees Fahrenheit) provide the energy needed for the storm to become a hurricane. Hurricanes can maintain winds in a constant direction at increasing speeds as air rotates about and gathers into the hurricane’s center. This inward and upward spiral prevents the storm from ripping itself apart. Hurricanes have distinctive parts: the eye, eyewall, and rain bands. The eye is the calm center of the hurricane where the cooler drier air sinks back down to the surface of the water. Here, winds are tranquil, and skies are partly cloudy, sometimes even clear. The eyewall is composed of the strongest ring of thunderstorms and surrounds the eye. This is where rain and winds are the strongest and heaviest. Rain bands are stretches of rain clouds that go far beyond the hurricane’s eyewall, usually hundreds of kilometers. Scientists typically use the Saffir-Simpson Hurricane Wind Scale to measure the strength of a hurricane’s winds and intensity. This scale gives a 1 to 5 rating based on the hurricane’s maximum sustained winds. Hurricanes rated category 3 or higher are recognized as major hurricanes. Category 1: Wind speeds are between 119 and 153 kmph (74 and 95 mph). Although this is the lowest category of hurricane, category 1 hurricanes still produce dangerous winds and could result in damaged roofs, power lines, or fallen tree branches. Category 2: Wind speeds are between 154 and 177 kmph (96 and 110 mph). These dangerous winds are likely to cause moderate damage; enough to snap or uproot small trees, destroy roofs, and cause power outages. Category 3: Wind speeds are between 178 and 208 kmph (111 and 129 mph). At this strength, extensive damage may occur. Well-built homes could incur damage to their exterior and many trees will likely be snapped or uprooted. Water and electricity could be unavailable for at least several days after the hurricane passes. Category 4: Wind speeds are between 209 and 251 kmph (130 and 156 mph). Extreme damage will occur. Most of the area will be uninhabitable for weeks or months after the hurricane. Well-built homes could sustain major damage to their exterior, most trees may be snapped or uprooted, and power outages could last weeks to months. Category 5: Wind speeds are 252 kmph (157 mph) or higher. Catastrophic damage will occur. Most of the area will be uninhabitable for weeks or months after the hurricane. A significant amount of well-built, framed homes will likely be destroyed, uprooted trees may isolate residential areas, and power outages could last weeks to months. This map is built with data from the NOAA National Hurricane Center (NHC) and the Joint Typhoon Warning Center (JTWC). The map shows recent, observed, and forecasted hurricane tracks and positions, uncertainties, wind speeds, and associated storm watches and warnings. This is a real-time dataset that is programed to check for updates from the NHC and JTWC every 15 minutes. If you are in an area experiencing a tropical cyclone, tune into local sources for more up-to-date information and important safety instructions. This map includes the following information: Forecast position points: These points mark the locations where the NHC predict the tropical cyclone will be at 12, 24, 36, 48, 72, 96, and 120 hours in the future.Observed position points: These points mark the locations where the tropical cyclone has been.Forecast track: This is the line that connects the forecast points and marks the expected path of the hurricane.Observed track: This line marks the path the tropical cyclone has already taken.Cone of uncertainty: Due to the complexity of ocean atmospheric interactions, there are many different factors that can influence the path of a hurricane. This uncertainty is represented on the map by a cone. The further into the future the forecast is, the wider the cone due to the greater uncertainty in the precise path of the storm. Remember rain, wind, and storm surge from the hurricane will likely impact areas outside the cone of uncertainty. This broader impact of wind can be seen if you turn on or off Tropical Storm Force (34 Knots) 5-Day Wind Probability, Strong Tropical Storm Force (50 Knots) 5-Day Wind Probability, or Hurricane Force (64 Knots) 5-Day Wind Probability map layers.Watches and warnings: Storm watches or warnings depend on the strength and distance from the location of the forecasted event. Watches indicate an increased risk for severe weather, while a warning means you should immediately move to a safe space.Tropical storm watch: The NHC issues this for areas that might be impacted by tropical cyclones with wind speeds of 34 to 63 knots (63 to 119 kilometers per hour or 39 to 74 miles per hour) in the next 48 hours. In addition to high winds, the region may experience storm surge or flooding.Tropical storm warning: The NHC issues this for places that will be impacted by hurricanes with wind speeds of 34 to 63 knots (63 to 119 kilometers per hour or 39 to 74 miles per hour) in the next 36 hours. As with the watch, the area may also experience storm surge or flooding.Hurricane watch: The NHC issues this watch for areas where a tropical cyclone with sustained wind speeds of 64 knots (119 kilometers per hour or 74 miles per hour) or greater in the next 48 hours may be possible. In addition to high winds, the region may experience storm surge or flooding.Hurricane warning: The NHC issues this warning for areas where hurricanes with sustained wind speeds of 64 knots (119 kilometers per hour or 74 miles per hour) or greater in the next 36 hours are expected. As with the watch, the region may experience storm surge or flooding. This warning is also posted when dangerously high water and waves continue even after wind speeds have fallen below 64 knots.Recent hurricanes: These points and tracks mark tropical cyclones that have occurred this year but are no longer active.

    Want to learn more about how hurricanes form? Check out Forces of Nature or explore The Ten Most Damaging Hurricanes in U.S. History story.

  7. GRIP Hurricane and Tropical Storm Forecasts V1

    • s.cnmilf.com
    • cmr.earthdata.nasa.gov
    • +2more
    Updated Jul 3, 2025
    + more versions
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    NASA/MSFC/GHRC (2025). GRIP Hurricane and Tropical Storm Forecasts V1 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/grip-hurricane-and-tropical-storm-forecasts-v1-00c76
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The GRIP Hurricane and Tropical Storm Forecasts dataset consists of tropical cyclone model forecast tracks archived during the NASA Genesis and Rapid Intensification Processes (GRIP) field campaign. GRIP was one of three hurricane field campaigns conducted during the 2010 Atlantic/Pacific hurricane season. This tri-agency effort included NASA GRIP, the NSF Pre-Depression Investigation of Cloud-systems in the Tropics (PREDICT) and the NOAA Intensity Forecasting Experiment 2010 (IFEX10). The hurricane and tropical storm forecasts data files are available from August 12 through November 14, 2010 in ASCII text format with browse files in KML format, viewable in Google Earth. The ASCII text files contain 5-day model “consensus” forecasts and the KML browse files contain model forecasts ranging from 5-days to 10-days.

  8. hurricane

    • huggingface.co
    Updated Aug 27, 2021
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    IBM-NASA Prithvi Models Family (2021). hurricane [Dataset]. https://huggingface.co/datasets/ibm-nasa-geospatial/hurricane
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 27, 2021
    Dataset provided by
    IBMhttp://ibm.com/
    Authors
    IBM-NASA Prithvi Models Family
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Data Format Description for Hurricane Evaluation on Prithvi WxC

      Overview
    

    To evaluate the performance of Prithvi WxC on hurricanes, the surface and pressure data from the MERRA-2 dataset, comprising 160 variables used in training, is required. The complete evaluation dataset includes 75 different initial conditions for hurricanes that formed in the Atlantic Ocean between 2017 and 2023. The scientific objective is to assess the zero-shot performance of Prithvi WxC in… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/hurricane.

  9. A

    Historical Hurricane Tracks Tool

    • data.amerigeoss.org
    • azgeo-open-data-agic.hub.arcgis.com
    • +1more
    esri rest, html
    Updated Aug 24, 2018
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    AmeriGEO ArcGIS (2018). Historical Hurricane Tracks Tool [Dataset]. https://data.amerigeoss.org/es/dataset/historical-hurricane-tracks-tool
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    html, esri restAvailable download formats
    Dataset updated
    Aug 24, 2018
    Dataset provided by
    AmeriGEO ArcGIS
    Description

    This interactive mapping application easily searches and displays global tropical cyclone data. Users are able to query storms by the storm name, geographic region, or latitude/longitude coordinates. Custom queries can track storms of interest and allow for data extraction and download.

    • Searches and displays tropical cyclone track data by ZIP Code, latitude and longitude coordinates, city, state, or geographic region and then displays the selected tracks on a map
    • Displays coastal population data and hurricane strike data for coastal counties from Maine to Texas
    • Provides access to storm reports written by hurricane specialists at the National Hurricane Center. Reports are available for the Atlantic and East-Central Pacific Basins
    • Builds custom Uniform Resource Locator (URL) strings that users can follow from personal websites to the on-line mapping application with specific storm tracks
    These data were derived from National Hurricane Center HURDAT data (http://www.nhc.noaa.gov/pastall.shtml) and International Best Track Archive for Climate Stewardship (IBTrACS) data (http://www.ncdc.noaa.gov/oa/ibtracs/). Metadata for each dataset can be found on their respective websites.

  10. Continental United States Hurricane Strikes Since 1950

    • catalog.data.gov
    • ncei.noaa.gov
    Updated Sep 19, 2023
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    DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce (Point of Contact) (2023). Continental United States Hurricane Strikes Since 1950 [Dataset]. https://catalog.data.gov/dataset/continental-united-states-hurricane-strikes-since-19501
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Area covered
    Contiguous United States, United States
    Description

    This is an annual edition poster showing all of the hurricanes having impacted the continental U.S. from 1950 to 2022. This 36x28 inch glossy poster gives a quick look of the location and strength of each hurricane which impacted the continental United States. The poster is also available to download as a PDF file. The map includes the name, category strength, year, and approximate strike location of each hurricane. For the 2022 edition two new hurricanes were added: Hurricane Ian, a Category-4 Hurricane hitting the western Florida Peninsula with a secondary landfall in South Carolina, and Hurricane Nicole, a Category-1 hurricane hitting the east coast of Florida.

  11. Hurricane and Severe Storm Sentinel (HS3) Statistical Hurricane Intensity...

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Jul 3, 2025
    + more versions
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    NASA/MSFC/GHRC (2025). Hurricane and Severe Storm Sentinel (HS3) Statistical Hurricane Intensity Prediction Scheme (SHIPS) Intensity V1 [Dataset]. https://catalog.data.gov/dataset/hurricane-and-severe-storm-sentinel-hs3-statistical-hurricane-intensity-prediction-scheme--d53f6
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    Dataset updated
    Jul 3, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Hurricane and Severe Storm Sentinel (HS3) Statistical Hurricane Intensity Prediction Scheme (SHIPS) Intensity dataset was obtained from March 18, 2014 through September 30, 2014 during the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The SHIPS model provides tropical storm intensity forecasts for the Atlantic Ocean and the eastern and central North Pacific Ocean storms and invest areas. SHIPS uses GOES infrared imagery as input to the systems. These SHIPS data are available in ASCII format.

  12. d

    Worldwide historical hurricane tracks from 1848 through the previous...

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Feb 7, 2018
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    (2018). Worldwide historical hurricane tracks from 1848 through the previous hurricane season. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/7b895dc542fc4f2dab7a3ec296c6fcc9/html
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    Dataset updated
    Feb 7, 2018
    Description

    description: This Historical Hurricane Tracks web site provides visualizations of storm tracks derived from the 6-hourly (0000, 0600, 1200, 1800 UTC) center locations and intensities for subtropical depressions and storms, extratropical storms, tropical depressions and storms, and all hurricanes, from 1848 through the previous Atlantic hurricane season (June 1 through November 30) as recorded in the International Best Track Archive for Climate Stewardship (IBTrACS, http://www.ncdc.noaa.gov/oa/ibtracs/index.php) data set. Users may use this site to search for storms by location, ocean basin, hurricane category/scale, storm name, and atmospheric pressure.; abstract: This Historical Hurricane Tracks web site provides visualizations of storm tracks derived from the 6-hourly (0000, 0600, 1200, 1800 UTC) center locations and intensities for subtropical depressions and storms, extratropical storms, tropical depressions and storms, and all hurricanes, from 1848 through the previous Atlantic hurricane season (June 1 through November 30) as recorded in the International Best Track Archive for Climate Stewardship (IBTrACS, http://www.ncdc.noaa.gov/oa/ibtracs/index.php) data set. Users may use this site to search for storms by location, ocean basin, hurricane category/scale, storm name, and atmospheric pressure.

  13. c

    CT Hurricane Surge Inundation

    • geodata.ct.gov
    • data.ct.gov
    • +6more
    Updated Apr 1, 2019
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    Department of Energy & Environmental Protection (2019). CT Hurricane Surge Inundation [Dataset]. https://geodata.ct.gov/datasets/CTDEEP::ct-hurricane-surge-inundation/about
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    Dataset updated
    Apr 1, 2019
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    See full Data Guide here. Worst case Hurricane Surge Inundation areas for category 1 through 4 hurricanes striking the coast of Connecticut. Hurricane surge values were developed by the National Hurricane Center using the SLOSH (Sea Lake and Overland Surge from Hurricanes) Model. This Surge Inundation layer was created by the U.S. Army Corps of Engineers, New England District. Using ArcInfo's Grid extension, LiDAR bare earth elevation data from both the State of Connecticut and FEMA was subtracted from the worst-case hurricane surge values to determine which areas could be expected to be inundated.

  14. Atlantic Hurricane Heat Map

    • noaa.hub.arcgis.com
    Updated Nov 16, 2024
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    NOAA GeoPlatform (2024). Atlantic Hurricane Heat Map [Dataset]. https://noaa.hub.arcgis.com/maps/7f2678b635714e4aad6f639682718ed7
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    Dataset updated
    Nov 16, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    The hurricane heatmap was generated using the NOAA/IBTrACS/v4 dataset, which was filtered to focus on the North Atlantic Basin from January 1950 to October 2024. This dataset, sourced from The International Best Track Archive for Climate Stewardship (IBTrACS), offers detailed information on tropical cyclone locations and intensity, providing critical insight into storm behavior over the decades. The map visually represents the highest concentration of hurricane locations, with the intensity of storm occurrences depicted through point data derived from IBTrACS. The data utilized for this heatmap was exported from the Google Earth Engine JavaScript code editor as a GeoTIFF file, with a resolution of 75 km² per pixel, ensuring a balance between visual clarity and the preservation of spatial details. By leveraging the power of Google Earth Engine, this visualization provides an effective way to analyze and explore the frequency and distribution of hurricanes across the North Atlantic, helping to highlight regions most prone to hurricane activity and offering valuable information for climate research and disaster preparedness.

  15. NOAA NHC HURDAT2 Atlantic Hurricane Catalog

    • developers.google.com
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    NOAA NHC, NOAA NHC HURDAT2 Atlantic Hurricane Catalog [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_atlantic
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    Dataset provided by
    National Hurricane Centerhttp://www.nhc.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Time period covered
    Jun 25, 1851 - Nov 4, 2018
    Area covered
    Description

    Hurricane best track database (HURDAT2). Atlantic basin 1851-2018.

  16. d

    Storm Surge Risk Areas

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Feb 5, 2025
    + more versions
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    U.S. Army Corps of Engineers (2025). Storm Surge Risk Areas [Dataset]. https://catalog.data.gov/dataset/storm-surge-risk-areas
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    U.S. Army Corps of Engineers
    Description

    This data reflects areas with a risk of storm tide flooding from hurricanes, based on potential storm tide heights calculated by the National Weather Service's SLOSH (Sea, Lake, and Overland Surge from Hurricanes) Model. The SLOSH Basin used for mapping was Chesapeake Bay (CP5), released in 2014. This data was prepared by the U.S. Army Corps of Engineers, Baltimore District, Planning Division in January 2016. SLOSH storm tide elevations used for this mapping are based on the Maximum of Maximums (MOM) SLOSH output dataset. The MOM output elevations represent the highest calculated storm tide values based on thousands of SLOSH simulations using different combinations of approach direction, forward speed, landfall point, astronomical tide, and intensity (Category 1 through Category 4). Categories 1 through 4 refer to the Saffir-Simpson scale of hurricane intensity. This map does not reflect the expected storm tide flooding for every hurricane, or for any one particular type of hurricane. This map shows the overall footprint of the area that has some risk of storm tide flooding from hurricanes, based on the MOM output dataset.

  17. Z

    MASH: A Multiplatform Annotated Dataset for Societal Impact of Hurricane

    • data.niaid.nih.gov
    Updated Jan 16, 2025
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    Murzakhmetov, Aslanbek (2025). MASH: A Multiplatform Annotated Dataset for Societal Impact of Hurricane [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_14655762
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    Dataset updated
    Jan 16, 2025
    Dataset provided by
    Murzakhmetov, Aslanbek
    Danielle, Ellie
    Cai, Ximing
    Wang, Dong
    Maussymbayeva, Aliya
    Wei, Na
    Yao, Ruichen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The 2024 Atlantic Hurricane Season was one of the most active and destructive seasons in history. These hurricanes not only caused severe physical damage but also sparked widespread discussion on social and news media platforms. Existing datasets for studying social impacts of hurricanes often focus on outdated hurricanes and are limited to a single social media platform, failing to capture the broader social impact in today's diverse social media environment. To address these gaps, we present a Multiplatform Annotated Dataset for Societal Impact of Hurricane MASH that includes 126,686 relevant social media data samples from Reddit, TikTok, X, and YouTube, as well as 171 news media articles from mainstream news media. A subset of 12,669 social media data samples are annotated on three dimensions: humanitarian classes, bias classes, and misinformation classes. The dataset is complemented by an online analytics platform that can not only view hurricane-related posts and articles but also explores high-frequent keywords and user sentiment. To our best knowledge, MASH is the first large-scale, multimodal, multi-platform, and multi-dimensionally annotated hurricane dataset. We envision that MASH can contribute to the study of hurricanes' impact on society, such as disaster severity classification, fake news detection, public sentiment analysis, and bias identification.

  18. d

    Storm Stories: Communicating Hurricane Impacts using Monitoring Data and...

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
    + more versions
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    Office for Coastal Management (Custodian) (2024). Storm Stories: Communicating Hurricane Impacts using Monitoring Data and Visualizations - NERRS/NSC(NERRS Science Collaborative) [Dataset]. https://catalog.data.gov/dataset/storm-stories-communicating-hurricane-impacts-using-monitoring-data-and-visualizations-nerrs-ns1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    Office for Coastal Management (Custodian)
    Description

    By pairing water quality and meteorological data with visible impacts, reserves can illustrate storm impacts and connect local communities to science. The project This project developed through conversations among the southeast and Caribbean region National Estuarine Research Reserves while discussing the need to respond to regional hurricanes including Dorian, Michael, Florence, Maria, Irma, and Matthew. Storm events damage not only the built infrastructure of local communities, but also the natural areas within and surrounding the reserves. The reserves wanted tools to help communicate about storm impacts using monitoring data and information collected through the System-wide Monitoring Program (SWMP), including salinity, dissolved oxygen, wind speed and direction, rainfall, and water depth. By pairing water quality and meteorological data with visible impacts, reserves can illustrate storm impacts and connect local communities to science. The final communications products include pictures, hurricane path maps, SWMP data analyses and visualizations, and text to help connect the quantitative storm story to the visual impacts observed in reserve local communities. Tools that enable communication about storms with local communities allow reserve educators and local teachers to discuss storm event impacts with their students. They also enable the Coastal Training Program to communicate with natural resource managers and local decision makers about observed negative environmental changes such as fish kills, increases in invasive vegetation, and native vegetation die-off.

  19. Global Hurricane Tracks (IBTrACS)

    • console.cloud.google.com
    Updated Jul 19, 2018
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    https://console.cloud.google.com/marketplace/browse?filter=partner:NOAA&inv=1&invt=Ab2r-A (2018). Global Hurricane Tracks (IBTrACS) [Dataset]. https://console.cloud.google.com/marketplace/product/noaa-public/hurricanes
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    Dataset updated
    Jul 19, 2018
    Dataset provided by
    Googlehttp://google.com/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    The historical positions and intensities along the tracks of global tropical cyclones (TC) are provided by NOAA’s International Best Track Archive for Climate Stewardship (IBTrACS). Tropical Cyclones are known as hurricanes in the north Atlantic and northeast Pacific ocean basins, typhoons in the northwest Pacific ocean basin, cyclones in the north and south Indian Ocean basins, and tropical cyclones in the southwest Pacific ocean basin. TCs endanger millions annually in those coastal regions. IBTrACS collects data about TCs reported by international monitoring centers who have a responsibility to forecast and report on TCs (and also includes some important historical datasets). Presently, IBTrACS includes data from 9 different countries. Historically, the data describing these systems has included best estimates of their track and intensity (hence the term, best track). TC intensity is often reported as the maximum sustained wind speed or the minimum central pressure of the system. More recently, more observing systems (e.g., satellites and aircraft) have allowed reporting other important aspects, including size, wind structure, and others, which are also included in IBTrACS.

  20. U

    Hurricane Harvey — A Damage Assessment of Texas’ Central Gulf Coast

    • data.usgs.gov
    • catalog.data.gov
    Updated Feb 6, 2025
    + more versions
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    Sierra Patterson; Stephanie Fovenyessy; Walter Mooney (2025). Hurricane Harvey — A Damage Assessment of Texas’ Central Gulf Coast [Dataset]. http://doi.org/10.5066/P92LKTOB
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    Dataset updated
    Feb 6, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Sierra Patterson; Stephanie Fovenyessy; Walter Mooney
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Sep 2, 2017 - Sep 5, 2017
    Area covered
    Texas
    Description

    This data set serves as a damage scale that was created to assess the damage caused by Hurricane Harvey in August 2017. The damage scale ranges from 1 (undamaged) to 5 (total structure collapse, destroyed). A score of 1 was given to structures that had no damage, a score of 2 was given to structures with minor damage, a score of 3 was given to structures with moderate damage, a score of 4 was given to structures with severe damage, and a score of 5 was given to structures that were destroyed. To account for the variety and complexity of damage observed, half-point increments (for example, 4.5) are included and outlined in the data set. Types of structures that can be scored are residential structures which included one-story, multi-story, stilt, modified-stilt, apartment, and mobile homes. A modified-stilt structure is one which is built on stilts, but contains some type of obstruction, such as a garage underneath the main living area. Commercial structures scored included: restau ...

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Esri (2019). Recent Hurricanes, Cyclones and Typhoons [Dataset]. https://resilience.climate.gov/maps/adfe292a67f8471a9d8230ef93294414
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Recent Hurricanes, Cyclones and Typhoons

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Dataset updated
Jun 12, 2019
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Earth
Description

This layer features tropical storm (hurricanes, typhoons, cyclones) tracks, positions, and observed wind swaths from the past hurricane season for the Atlantic, Pacific, and Indian Basins. These are products from the National Hurricane Center (NHC) and Joint Typhoon Warning Center (JTWC). They are part of an archive of tropical storm data maintained in the International Best Track Archive for Climate Stewardship (IBTrACS) database by the NOAA National Centers for Environmental Information.Data SourceNOAA National Hurricane Center tropical cyclone best track archive.Update FrequencyWe automatically check these products for updates every 15 minutes from the NHC GIS Data page.The NHC shapefiles are parsed using the Aggregated Live Feeds methodology to take the returned information and serve the data through ArcGIS Server as a map service.Area CoveredWorldWhat can you do with this layer?Customize the display of each attribute by using the ‘Change Style’ option for any layer.Run a filter to query the layer and display only specific types of storms or areas.Add to your map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools like ‘Enrich Data’ on the Observed Wind Swath layer to determine the impact of cyclone events on populations.Visualize data in ArcGIS Insights or Operations Dashboards.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

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