100+ datasets found
  1. NOAA/WDS Paleoclimatology - Southwest Florida Hurricane Database

    • catalog.data.gov
    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, 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.

  2. Recent Hurricanes, Cyclones and Typhoons

    • prep-response-portal.napsgfoundation.org
    • pacificgeoportal.com
    • +30more
    Updated Jun 12, 2019
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    Esri (2019). Recent Hurricanes, Cyclones and Typhoons [Dataset]. https://prep-response-portal.napsgfoundation.org/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!

  3. NCDC Storm Events Database

    • catalog.data.gov
    • data.globalchange.gov
    • +3more
    Updated Sep 19, 2023
    + more versions
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    NOAA National Centers for Environmental Information (Point of Contact) (2023). NCDC Storm Events Database [Dataset]. https://catalog.data.gov/dataset/ncdc-storm-events-database2
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    Storm Data is provided by the National Weather Service (NWS) and contain statistics on personal injuries and damage estimates. Storm Data covers the United States of America. The data began as early as 1950 through to the present, updated monthly with up to a 120 day delay possible. NCDC Storm Event database allows users to find various types of storms recorded by county, or use other selection criteria as desired. The data contain a chronological listing, by state, of hurricanes, tornadoes, thunderstorms, hail, floods, drought conditions, lightning, high winds, snow, temperature extremes and other weather phenomena.

  4. A

    Historical Hurricane Tracks Tool

    • data.amerigeoss.org
    • geospatial-nws-noaa.opendata.arcgis.com
    • +2more
    esri rest, html
    Updated Aug 24, 2018
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    AmeriGEO ArcGIS (2018). Historical Hurricane Tracks Tool [Dataset]. https://data.amerigeoss.org/cs_CZ/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.

  5. Atlantic Hurricane Database

    • kaggle.com
    zip
    Updated Jul 13, 2020
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    DavidFrazer (2020). Atlantic Hurricane Database [Dataset]. https://www.kaggle.com/maravedi/atlantic-hurricane-database
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    zip(579004 bytes)Available download formats
    Dataset updated
    Jul 13, 2020
    Authors
    DavidFrazer
    Description

    Dataset

    This dataset was created by DavidFrazer

    Contents

  6. d

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

    • datadiscoverystudio.org
    Updated Feb 7, 2018
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    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.

  7. Global Hurricane Tracks (IBTrACS)

    • console.cloud.google.com
    Updated Sep 10, 2018
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    https://console.cloud.google.com/marketplace/browse?filter=partner:NOAA&inv=1&invt=Ab1EPg (2019). Global Hurricane Tracks (IBTrACS) [Dataset]. https://console.cloud.google.com/marketplace/product/noaa-public/hurricanes
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    Dataset updated
    Sep 10, 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.

  8. 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.

  9. State of the Climate Monthly Overview - Hurricanes & Tropical Storms

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Sep 19, 2023
    + more versions
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    NOAA National Centers for Environmental Information (Point of Contact) (2023). State of the Climate Monthly Overview - Hurricanes & Tropical Storms [Dataset]. https://catalog.data.gov/dataset/state-of-the-climate-monthly-overview-hurricanes-tropical-storms2
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    The State of the Climate is a collection of periodic summaries recapping climate-related occurrences on both a global and national scale. The State of the Climate Monthly Overview - Hurricanes & Tropical Storms report focuses primarily on storms and conditions that affect the U.S. and its territories, in Atlantic and Pacific basins. The report places each basin's tropical cyclone activity in a climate-scale context. Key statistics (dates, strengths, landfall, energy, etc.) for major cyclone activity in other basins is occasionally presented. Reports began in June 2002. The primary Atlantic hurricane season (June-November) is covered each year; other months are included as storm events warrant. An annual summary is available from 2002. These reports are not updated in real time.

  10. d

    Hurricane Evacuation Centers

    • catalog.data.gov
    • nycopendata.socrata.com
    • +3more
    Updated Sep 6, 2024
    + more versions
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    data.cityofnewyork.us (2024). Hurricane Evacuation Centers [Dataset]. https://catalog.data.gov/dataset/hurricane-evacuation-centers-646b0
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    Dataset updated
    Sep 6, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    This dataset shows hurricane evacuation centers. Persons requiring shelter during a hurricane are processed at a hurricane evacuation center and then transported to a hurricane shelter. In the event of a hurricane, the status of these hurricane evacuation centers should be confirmed at www.nyc.gov or by calling 311.

  11. e

    Active Hurricanes, Cyclones and Typhoons

    • atlas.eia.gov
    • climat.esri.ca
    • +27more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). Active Hurricanes, Cyclones and Typhoons [Dataset]. https://atlas.eia.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!

  12. A

    ‘Hurricanes and Typhoons, 1851-2014’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Hurricanes and Typhoons, 1851-2014’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-hurricanes-and-typhoons-1851-2014-55d2/latest
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    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Hurricanes and Typhoons, 1851-2014’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/noaa/hurricane-database on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    The National Hurricane Center (NHC) conducts a post-storm analysis of each tropical cyclone in the Atlantic basin (i.e., North Atlantic Ocean, Gulf of Mexico, and Caribbean Sea) and and the North Pacific Ocean to determine the official assessment of the cyclone's history. This analysis makes use of all available observations, including those that may not have been available in real time. In addition, NHC conducts ongoing reviews of any retrospective tropical cyclone analyses brought to its attention and on a regular basis updates the historical record to reflect changes introduced.

    Content

    The NHC publishes the tropical cyclone historical database in a format known as HURDAT, short for HURricane DATabase. These databases (Atlantic HURDAT2 and NE/NC Pacific HURDAT2) contain six-hourly information on the location, maximum winds, central pressure, and (starting in 2004) size of all known tropical cyclones and subtropical cyclones.

    --- Original source retains full ownership of the source dataset ---

  13. H

    Hurricane Harvey Flood Data Collections

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Nov 6, 2023
    + more versions
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    David Arctur (2023). Hurricane Harvey Flood Data Collections [Dataset]. http://doi.org/10.4211/hs.c037167e497546a1bc1508dfb32a9cff
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    zip(0 bytes)Available download formats
    Dataset updated
    Nov 6, 2023
    Dataset provided by
    HydroShare
    Authors
    David Arctur
    License

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

    Time period covered
    Aug 15, 2017 - Oct 15, 2017
    Area covered
    Description

    This collection is for datasets of flood depths, flood extents, high water marks, streamflow, damages recorded, aerial oblique photos, and related subjects. This includes both forecast and observed data. These were primarily obtained from national agencies such as NOAA (weather related), USGS (surface water related), FEMA (surface water and damage related), and Civil Air Patrol (aerial photos).

    Note on November 2023 updates: due to numerous updates among the resources linked below, this collection has been updated to point to the most recent resources.

  14. Hurricane Satellite (HURSAT) Microwave (MW)

    • catalog.data.gov
    • data.cnra.ca.gov
    • +3more
    Updated Sep 19, 2023
    + more versions
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    DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce (Point of Contact) (2023). Hurricane Satellite (HURSAT) Microwave (MW) [Dataset]. https://catalog.data.gov/dataset/hurricane-satellite-hursat-microwave-mw2
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    The Hurricane Satellite (HURSAT) from Microwave (MW) observations of tropical cyclones worldwide data consist of raw satellite observations. The data derive from the global constellation of geostationary satellites (GOES, Meteosat, MS, and FY2 series) spanning 1987 through 2009. Passive microwave observations provide significant information content given that most clouds are transparent at microwave wavelengths. The HURSAT-MW data set is constructed in largely the same manner as HURSAT-B1. Each time a Defense Meteorological Satellite Program (DMSP) satellite passes over a tropical cyclone, Special Sensing Microwave Imager (SSMI) data are mapped to an equal angle grid (fixed latitude/longitude) centered on the temporally interpolated storm location. HURSAT-MW provides brightness temperatures for all 7 SSMI channels. No product retrievals (e.g., rain rate, total column water vapor, ...) are provided in the data, but are possible (e.g., view the imagery derived from the data). The satellite data were then gridded to 8km, with grid centers fixed on the tropical cyclone center of circulation at 6-hour intervals. Data include hurricanes from the Atlantic, Pacific and Indian Ocean Basins. Data are provided in a convenient NetCDF format which is self-documenting and follows standard storage and metadata conventions. Version 5 supersedes all other versions.

  15. TRMM TROPICAL CYCLONE PRECIPITATION FEATURE (TCPF) DATABASE - LEVEL 1 V1

    • data.nasa.gov
    • cmr.earthdata.nasa.gov
    • +4more
    Updated Apr 1, 2025
    + more versions
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    nasa.gov (2025). TRMM TROPICAL CYCLONE PRECIPITATION FEATURE (TCPF) DATABASE - LEVEL 1 V1 [Dataset]. https://data.nasa.gov/dataset/trmm-tropical-cyclone-precipitation-feature-tcpf-database-level-1-v1-27747
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The TRMM Cyclone Precipitation Feature (TCPF) Database - Level 1 provides Tropical Rainfall Measuring Mission (TRMM)-based tropical cyclone data in a common framework for hurricane science research. This dataset aggregated observations from each of the TRMM instruments for each satellite orbit that was coincident with a tropical cyclone in any of the six TC-prone ocean basins. These swath data were co-located and subsetted to a 20-degree longitude by 20-degree latitude bounding box centered on the tropical storm, which is typically large enough to observe the various sizes of TCs and their immediate environments. The TCPF Level 1 dataset was created by researchers at Florida International University (FIU) and the University of Utah (UU) from the UU TRMM Precipitation Feature database. The TCPF database was built by extracting those precipitation features that are identified as tropical cyclones (TC) using the TC best-track data provided by National Hurricane Center or the US Navy's Joint Typhoon Warning Center.

  16. p

    Pacific Region Recent Hurricanes, Cyclones and Typhoons

    • pacificgeoportal.com
    • hub.arcgis.com
    Updated Sep 22, 2023
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    Pacific GeoPortal - Core Organization (2023). Pacific Region Recent Hurricanes, Cyclones and Typhoons [Dataset]. https://www.pacificgeoportal.com/maps/f70526cf5328435a898d87466e834408
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    Dataset updated
    Sep 22, 2023
    Dataset authored and provided by
    Pacific GeoPortal - Core Organization
    Area covered
    Description

    This layer is a subset of Global Recent Hurricanes, Cyclones and Typhoons. You can access the global coverage from here. 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 CoveredPacific RegionWhat 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!

  17. NOAA/WDS Paleoclimatology - South China Sea d18O and hurricane data from...

    • catalog.data.gov
    • data.noaa.gov
    Updated Jun 1, 2025
    + more versions
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    (Point of Contact); NOAA World Data Service for Paleoclimatology (Point of Contact) (2025). NOAA/WDS Paleoclimatology - South China Sea d18O and hurricane data from 1568 to 1965 CE [Dataset]. https://catalog.data.gov/dataset/noaa-wds-paleoclimatology-south-china-sea-d18o-and-hurricane-data-from-1568-to-1965-ce1
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    Dataset updated
    Jun 1, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    South China Sea
    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 Coral. The data include parameters of corals and sclerosponges with a geographic location of South China Sea, Western Pacific Ocean. The time period coverage is from 382 to -69 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

  18. Central America - Storm and Hurricane Risk

    • data.humdata.org
    csv
    Updated Apr 15, 2025
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    Acción contra el hambre - GIS4tech (2025). Central America - Storm and Hurricane Risk [Dataset]. https://data.humdata.org/dataset/central-america-storm-and-hurricane-risk
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    csv(49691)Available download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    GIS4tech
    License

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

    Area covered
    Central America
    Description

    Storm and hurricane risk has been assessed based on a database called IBTrACS obtained from the NOAA (National Centers for Environmental Information). The hazard classification is determined by the frequency of the events. The information is showed by country, department and municipality of Central America (Nicaragua, Honduras, Guatemala, El Salvador)

    For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

  19. v

    Software and Data for “Variations in Tropical Cyclone Size and Rainfall...

    • data.lib.vt.edu
    hdf
    Updated May 23, 2025
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    Stephanie Zick; Kayleigh Addington; Kimberly M. Wood (2025). Software and Data for “Variations in Tropical Cyclone Size and Rainfall Patterns based on Synoptic-Scale Moisture Environments in the North Atlantic” [Dataset]. http://doi.org/10.7294/27994187.v2
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    hdfAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset provided by
    University Libraries, Virginia Tech
    Authors
    Stephanie Zick; Kayleigh Addington; Kimberly M. Wood
    License

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

    Description

    This is software and data to support the manuscript "Variations in Tropical Cyclone Size and Rainfall Patterns based on Synoptic-Scale Moisture Environments in the North Atlantic," which we are submitting to the journal, Journal of Geophysical Research Atmospheres.The MIT license applies to all source code and scripts published in this dataset.The software includes all code that is necessary to follow and evaluate the work. Public datasets include (1) the Atlantic hurricane database HURDAT2 (https://www.nhc.noaa.gov/data/#hurdat), (2) NASA’s Global Precipitation Measurement IMERG final precipitation (https://catalog.data.gov/dataset/gpm-imerg-final-precipitation-l3-half-hourly-0-1-degree-x-0-1-degree-v07-gpm-3imerghh-at-g), (3) the Tropical Cyclone Extended Best Track Dataset (https://rammb2.cira.colostate.edu/research/tropical-cyclones/tc_extended_best_track_dataset/), (4) the European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis (ERA5) (https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5), and (5) the Statistical Hurricane Intensity Prediction Scheme (SHIPS) dataset (https://rammb.cira.colostate.edu/research/tropical_cyclones/ships/data/). We are also including four datasets generated by the code that will be helpful in evaluating the work. Lastly, we used the eofs software package, a python package for computing empirical orthogonal functions (EOFs), available publicly here: https://doi.org/10.5334/jors.122.All figures and tables in the manuscript are generated using Python, ArcGIS Pro, and GraphPad/Prism 10 Software:ArcGIS Pro used to make Figures 5GraphPad/Prism 10 Software used to make box plots in Figures 6-9Python used to make Figures 1-4, 10-11, and Tables 1-5Public Datasets:HURDAT2: Landsea, C. and Beven, J., 2019: The revised Atlantic hurricane database (HURDAT2). March 2022, https://www.aoml.noaa.gov/hrd/hurdat/hurdat2-format.pdfIMERG:NASA EarthData: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06. 9 December 2024, https://catalog.data.gov/dataset/gpm-imerg-final-precipitation-l3-half-hourly-0-1-degree-x-0-1-degree-v07-gpm-3imerghh-at-g. Note that this dataset is not longer publicly available, as it has been replaced with IMERG version 7: https://disc.gsfc.nasa.gov/datasets/GPM_3IMERGHH_07/summary?keywords="IMERG final"Extended Best Track:Regional and Mesoscale Meteorology Branch, 2022: The Tropical Cyclone Extended Best Track Dataset (EBTRK). March 2022, https://rammb2.cira.colostate.edu/research/tropical-cyclones/tc_extended_best_track_dataset/ERA5: Guillory, A. (2022). ERA5. Ecmwf [Dataset]. https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5. (Accessed March 2, 2023). Also: Hersbach, H., and Coauthors, 2020: The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, https://doi.org/10.1002/qj.3803SHIPS:Ships Predictor Files - Colorado State University (2022). Statistical Tropical Cyclone Intensity Forecast Technique Development. https://rammb.cira.colostate.edu/research/tropical_cyclones/ships/data/ships_predictor_file_2022.pdf. Also: DeMaria, M., and J. Kaplan, 1994: A Statistical Hurricane Intensity Prediction Scheme (SHIPS) for the Atlantic Basin. Weather and Forecasting, 9, 209–220, https://doi.org/10.1175/1520-0434(1994)0092.0.CO;2.Public Software: Dawson, A., 2016: eofs: A Library for EOF Analysis of Meteorological, Oceanographic, and Climate Data. JORS, 4, 14, https://doi.org/10.5334/jors.122.van der Walt, S., Schönberger, J. L., Nunez-Iglesias, J., Boulogne, F., Warner, J. D., Yager, N., et al. (2014). Scikit-image: Image processing in Python [Software]. PeerJ, 2, e453. https://doi.org/10.7717/peerj.453

  20. H

    Hurricane Maria 2017 Collection

    • hydroshare.org
    • search.dataone.org
    zip
    Updated Apr 23, 2019
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    Christina Bandaragoda; Jimmy Phuong; Miguel Leon (2019). Hurricane Maria 2017 Collection [Dataset]. https://www.hydroshare.org/resource/97a696e7202d4ca98349a0742a725451
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    zip(8.1 KB)Available download formats
    Dataset updated
    Apr 23, 2019
    Dataset provided by
    HydroShare
    Authors
    Christina Bandaragoda; Jimmy Phuong; Miguel Leon
    License

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

    Time period covered
    Jun 11, 1995 - Nov 30, 2018
    Area covered
    Description

    This is the root collection resource for management of all weather, hydrologic and related population health and drinking water baseline data collected before and after Hurricane Maria in Puerto Rico. This collection holds numerous Collections and composite resources comprising 1) Environmental data related to Hurricane Maria, including meteorological data, precipitation, stream sensor and chemistry data, soil sensor data, and cloud monitoring data (ceilometer and cloud camera data) – as available given that some sensors were damaged or destroyed during the hurricane; 2) Data Sharing Agreements for the use of private and confidential water resources and health data for conducting research in a HIPAA-compliant manner, 3) Drinking Water Sample Data including analytical results from water quality samples collected after Hurricane Maria in Puerto Rico from public drinking water sources. Analytical results include laboratory analyses for waterborne pathogens and inorganics parameters. All derived data, including analytical results, metadata, and the methods employed to collect the data adhere to standard methods for water analysis and the standards outlined by the Genomic Standards Consortium and/or Standard Methods for Examination of Water and Wastewater; 4) Geospatial Data includes roads and road closure information, Safe Drinking Water Information System point locations of Community and Public Water Systems, locations of 69 hospitals in Puerto Rico, mudslide locations and landslide hazards obtained from the USGS, and storm deforestation rasters generated from satellite data. The data providers for this collection include the Luquillo Critical Zone Observatory, NOAA National Weather Service, NOAA National Water Center, FEMA, Department of Homeland Security, Kaiser Permanente, and many others.

    There are separate collections for Hurricanes Harvey (https://www.hydroshare.org/resource/544f1afd7c0e42a49b8e59737a660bfd/) and Irma (https://www.hydroshare.org/resource/f9635d1c216d4c63b303ab1c655986e8/). Resources from 2017 US Hurricanes may also be shared with The CUAHSI 2017 Hurricane Data Community group (https://www.hydroshare.org/group/41) to make them accessible to interested researchers, and anyone may join this group. Resources related to 2017 Hurricane Maria impacts and ongoing drinking water studies may be shared with the Puerto Rico Water Studies Group (https://www.hydroshare.org/group/43) to make them accessible to interested researchers, and anyone may join this group.

    This collection has been produced by a Collaborative Research grant by the US National Science Foundation RAPID Award "Building Infrastructure to Prevent Disasters Like Hurricane Maria" (ID 1810647) in collaboration with the RAPID Award "Archiving and Enabling Community Access to Data from Recent US Hurricanes" (ID 1761673).

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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
Organization logoOrganization logo

NOAA/WDS Paleoclimatology - Southwest Florida Hurricane Database

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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, 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.

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