8 datasets found
  1. Data from: Tornado Tracks

    • gis-fema.hub.arcgis.com
    • opendata.rcmrd.org
    • +7more
    Updated Feb 7, 2020
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    Esri U.S. Federal Datasets (2020). Tornado Tracks [Dataset]. https://gis-fema.hub.arcgis.com/datasets/fedmaps::tornado-tracks-1/about
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    Dataset updated
    Feb 7, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Tornado TracksThis feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays tornadoes in the United States, Puerto Rico and U.S. Virgin Islands between 1950 and 2022. A tornado track shows the route of a tornado. Per NOAA, "A tornado is a narrow, violently rotating column of air that extends from a thunderstorm to the ground. Because wind is invisible, it is hard to see a tornado unless it forms a condensation funnel made up of water droplets, dust and debris. Tornadoes can be among the most violent phenomena of all atmospheric storms we experience. The most destructive tornadoes occur from supercells, which are rotating thunderstorms with a well-defined radar circulation called a mesocyclone. (Supercells can also produce damaging hail, severe non-tornadic winds, frequent lightning, and flash floods.)"EF-5 Tornado Track (May 3, 1999) near Oklahoma City, OklahomaData currency: December 30, 2022Data source: Storm Prediction CenterData modifications: Added fields Calculated Month and DateFor more information: Severe Weather 101 - Tornadoes; NSSL Research: TornadoesSupport documentation: SPC Tornado, Hail, and Wind Database Format SpecificationFor feedback, please contact: ArcGIScomNationalMaps@esri.comNational Oceanic and Atmospheric AdministrationPer NOAA, its mission is "To understand and predict changes in climate, weather, ocean, and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources."

  2. Canadian National Tornado Database: Verified Tracks (1980-2009) - Public GIS...

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    csv, html, json, zip
    Updated Mar 4, 2025
    + more versions
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    Environment and Climate Change Canada (2025). Canadian National Tornado Database: Verified Tracks (1980-2009) - Public GIS EN [Dataset]. https://open.canada.ca/data/en/dataset/65658050-7a80-4da3-9a09-da137c203a34
    Explore at:
    csv, json, html, zipAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Environment And Climate Change Canadahttps://www.canada.ca/en/environment-climate-change.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1980 - Dec 31, 2009
    Area covered
    Canada
    Description

    A database of verified tornado tracks across Canada has been created covering the 30-year period from 1980 to 2009. The tornado data have undergone a number of quality control checks and represent the most current knowledge of past tornado events over the period. However, updates may be made to the database as new or more accurate information becomes available. The data have been converted to a geo-referenced mapping file that can be viewed and manipulated using GIS software.

  3. a

    Historical Tornado Tracks

    • hub.arcgis.com
    • alic-algeohub.hub.arcgis.com
    • +1more
    Updated Aug 2, 2018
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    Alabama GeoHub (2018). Historical Tornado Tracks [Dataset]. https://hub.arcgis.com/maps/ALGeoHub::historical-tornado-tracks
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    Dataset updated
    Aug 2, 2018
    Dataset authored and provided by
    Alabama GeoHub
    Area covered
    Description

    HIFLD open web service for Natural Hazards.

  4. April 27, 2011 Historical Tornado Track Map

    • noaa.hub.arcgis.com
    • hub.arcgis.com
    Updated Nov 21, 2020
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    NOAA GeoPlatform (2020). April 27, 2011 Historical Tornado Track Map [Dataset]. https://noaa.hub.arcgis.com/documents/507d1d0139cc4c569293b1c77b2352ce
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    Dataset updated
    Nov 21, 2020
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Description

    This historical static map of tornado tracks in Alabama documents the historic tornado outbreak that occurred on April 27, 2011.

  5. USA Storm Reports

    • hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +11more
    Updated Jun 11, 2019
    + more versions
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    Esri (2019). USA Storm Reports [Dataset]. https://hub.arcgis.com/maps/e109e8fd9c5a495c813b5cbaee9c7d9b
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    Dataset updated
    Jun 11, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map contains continuously updated U.S. tornado reports, wind storm reports and hail storm reports. Click each feature to receive information about the specific location and read a short description about the issue.Now contains ALL available Incident Report types, for a total of 15, not just Hail; Wind; and Tornados.See new layer for details or Feature Layer Item with exclusive Past 24-Hour ALL Storm Reports Layer.Each layer is updated 4 times hourly from data provided by NOAA’s National Weather Service Storm Prediction Center.A full archive of storm events can be accessed from the NOAA National Centers for Environmental Information.SourceNOAA Storm Prediction Center https://www.spc.noaa.gov/climo/reportsNOAA ALL Storm Reports layer https://www.spc.noaa.gov/exper/reportsSample DataSee Sample Layer Item for sample data during inactive periods!Update FrequencyThe service is updated every 15 minutes using the Aggregated Live Feeds MethodologyArea CoveredCONUS (Contiguous United States)What can you do with this layer?This map service is suitable for data discovery and visualization.Change the symbology of each layer using single or bi-variate smart mapping. For instance, use size or color to indicate the intensity of a tornado.Click each feature to receive information about the specific location and read a short description about the issue.Query the attributes to show only specific event types or locations.Revisions:Aug 10, 2021: Updated Classic Layers to use new Symbols. Corrected Layer Order Presentation. Updated Thumbnail.Aug 8, 2021: Update to layer-popups, correcting link URLs. Expanded length of 'Comment' fields to 1kb of text. New Layer added that includes ALL available Incident Types and Age in 'Hours Old'.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.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.

  6. Data from: Satellite-Based Identification of Tornado Damage Tracks from the...

    • 04272011-noaa.hub.arcgis.com
    • noaa.hub.arcgis.com
    • +1more
    Updated Apr 25, 2022
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    NOAA GeoPlatform (2022). Satellite-Based Identification of Tornado Damage Tracks from the 27 April 2011 Severe Weather Outbreak [Dataset]. https://04272011-noaa.hub.arcgis.com/datasets/satellite-based-identification-of-tornado-damage-tracks-from-the-27-april-2011-severe-weather-outbreak-1
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    Dataset updated
    Apr 25, 2022
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Description

    The 27 April 2011 severe weather outbreak included 62 tornadoes across northern and central Alabama, leading to one of the largest post-event survey operations in history. The enormity of the task faced by National Weather Service surveyors required extensive planning in an attempt to ensure that every tornado was documented. Moderate- and high-resolution satellite imagery can support the assessment process. Normalized difference vegetation index (NDVI) imagery from the Moderate Resolution Imaging Spectroradiometer, Enhanced Thematic Mapper Plus, and Advanced Spaceborne Thermal Emission and Reflection Radiometer was used to assess satellite-based capabilities to detect tornado damage tracks, expanding upon previous studies of tornado-track detection. Of the tornadoes that were officially documented and surveyed in Alabama, 22 (32.4%) were identified at least in part by a simple visual inspection of single-day NDVI imagery. Detection of satellite-based damage tracks improved for tornadoes with estimated maximum damage of EF-2, with portions of 21 (65.6%) paths identified. Lengths of satellite-detected tornado tracks compared favorably (R2 = 0.88–0.93) to official survey measurements, but maximum estimated widths compared less favorably (R2 = 0.39–0.52). Longer-term NDVI change and image-enhancement techniques, such as principal component analysis, can improve visual inspection. Overall, this study demonstrates that near real-time access to moderate- and high-resolution imagery may support survey activities, particularly in well-vegetated regions where spectral bands and high spatial resolution allow for detection of vegetation damage resulting from severe weather.

  7. Tornado Damage

    • noaa.hub.arcgis.com
    Updated Jan 17, 2022
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    NOAA GeoPlatform (2022). Tornado Damage [Dataset]. https://noaa.hub.arcgis.com/maps/56097cebe27940898e013bc187321153
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    Dataset updated
    Jan 17, 2022
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description
    • Current Observations Layers: Current Temperature, Relative Humidity (RH), Dew Point Temperature, Winds, and Wind Gusts are some of the real time observations included in this layer. These current observations come from the NWS Family of Services courtesy of NESDIS/OPSD and also the NWS Meteorological Assimilation Data Ingest System (MADIS). These platforms include but are not limited to ASOS, AWOS, RAWS, non-automated stations, U.S. Climate Reference Networks, many U.S. Geological Survey Stations via NWS HADS, several state DOT Road Weather Information Systems, and U.S. Historical Climatology Network-Modernization.Observations from MADIS are updated approximately every 10 minutes in the map service and those from NESDIS are updated every hour. However, not all stations report that frequently. Many stations only report once per hour sometime between 15 minutes before the hour and 30 minutes past the hour. For these stations, new observations will not appear until approximately 23 minutes past top of the hour for land-based stations and 33 minutes past the top of the hour for maritime stations. More Info**Be aware of bad observations**Layer symbol is unique to the variable named.
  8. a

    Multiple Hazard Index for United States Counties

    • gis-fema.hub.arcgis.com
    • hub.arcgis.com
    Updated Jul 29, 2016
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    jjs2154_columbia (2016). Multiple Hazard Index for United States Counties [Dataset]. https://gis-fema.hub.arcgis.com/maps/800f684ebadf423bae4c669cb0a1d7da
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    Dataset updated
    Jul 29, 2016
    Dataset authored and provided by
    jjs2154_columbia
    Area covered
    Description

    OverviewThe multiple hazard index for the United States Counties was designed to map natural hazard relating to exposure to multiple natural disasters. The index was created to provide communities and public health officials with an overview of the risks that are prominent in their county, and to facilitate the comparison of hazard level between counties. Most existing hazard maps focus on a single disaster type. By creating a measure that aggregates the hazard from individual disasters, the increased hazard that results from exposure to multiple natural disasters can be better understood. The multiple hazard index represents the aggregate of hazard from eleven individual disasters. Layers displaying the hazard from each individual disaster are also included.

    The hazard index is displayed visually as a choropleth map, with the color blue representing areas with less hazard and red representing areas with higher hazard. Users can click on each county to view its hazard index value, and the level of hazard for each individual disaster. Layers describing the relative level of hazard from each individual disaster are also available as choropleth maps with red areas representing high, orange representing medium, and yellow representing low levels of hazard.Methodology and Data CitationsMultiple Hazard Index

    The multiple hazard index was created by coding the individual hazard classifications and summing the coded values for each United States County. Each individual hazard is weighted equally in the multiple hazard index. Alaska and Hawaii were excluded from analysis because one third of individual hazard datasets only describe the coterminous United States.

    Avalanche Hazard

    University of South Carolina Hazards and Vulnerability Research Institute. “Spatial Hazard Events and Losses Database”. United States Counties. “Avalanches United States 2001-2009”. < http://hvri.geog.sc.edu/SHELDUS/

    Downloaded 06/2016.

    Classification

    Avalanche hazard was classified by dividing counties based upon the number of avalanches they experienced over the nine year period in the dataset. Avalanche hazard was not normalized by total county area because it caused an over-emphasis on small counties, and because avalanches are a highly local hazard.

    None = 0 AvalanchesLow = 1 AvalancheMedium = 2-5 AvalanchesHigh = 6-10 Avalanches

    Earthquake Hazard

    United States Geological Survey. “Earthquake Hazard Maps”. 1:2,000,000. “Peak Ground Acceleration 2% in 50 Years”. < http://earthquake.usgs.gov/hazards/products/conterminous/

    . Downloaded 07/2016.

    Classification

    Peak ground acceleration (% gravity) with a 2% likelihood in 50 years was averaged by United States County, and the earthquake hazard of counties was classified based upon this average.

    Low = 0 - 14.25 % gravity peak ground accelerationMedium = 14.26 - 47.5 % gravity peak ground accelerationHigh = 47.5+ % gravity peak ground acceleration

    Flood Hazard

    United States Federal Emergency Management Administration. “National Flood Hazard Layer”. 1:10,000. “0.2 Percent Annual Flood Area”. < https://data.femadata.com/FIMA/Risk_MAP/NFHL/

    . Downloaded 07/2016.

    Classification

    The National Flood Hazard Layer 0.2 Percent Annual Flood Area was spatially intersected with the United States Counties layer, splitting flood areas by county and adding county information to flood areas. Flood area was aggregated by county, expressed as a fraction of the total county land area, and flood hazard was classified based upon percentage of land that is susceptible to flooding. National Flood Hazard Layer does not cover the entire United States; coverage is focused on populated areas. Areas not included in National Flood Hazard Layer were assigned flood risk of Low in order to include these areas in further analysis.

    Low = 0-.001% area susceptibleMedium = .00101 % - .005 % area susceptibleHigh = .00501+ % area susceptible

    Heat Wave Hazard

    United States Center for Disease Control and Prevention. “National Climate Assessment”. Contiguous United States Counties. “Extreme Heat Events: Heat Wave Days in May - September for years 1981-2010”. Downloaded 06/2016.

    Classification

    Heat wave was classified by dividing counties based upon the number of heat wave days they experienced over the 30 year time period described in the dataset.

    Low = 126 - 171 Heat wave DaysMedium = 172 – 187 Heat wave DaysHigh = 188 – 255 Heat wave Days

    Hurricane Hazard

    National Oceanic and Atmospheric Administration. Coastal Services Center. “Historical North Atlantic Tropical Cyclone Tracks, 1851-2004”. 1: 2,000,000. < https://catalog.data.gov/dataset/historical-north-atlantic-tropical-cyclone-tracks-1851-2004-direct-download

    . Downloaded 06/2016.

    National Oceanic and Atmospheric Administration. Coastal Services Center. “Historical North Pacific Tropical Cyclone Tracks, 1851-2004”. 1: 2,000,000. < https://catalog.data.gov/dataset/historical-north-atlantic-tropical-cyclone-tracks-1851-2004-direct-download

    . Downloaded 06/2016.

    Classification

    Atlantic and Pacific datasets were merged. Tropical storm and disturbance tracks were filtered out leaving hurricane tracks. Each hurricane track was assigned the value of the category number that describes that event. Weighting each event by intensity ensures that areas with higher intensity events are characterized as being more hazardous. Values describing each hurricane event were aggregated by United States County, normalized by total county area, and the hurricane hazard of counties was classified based upon the normalized value.

    Landslide Hazard

    United States Geological Survey. “Landslide Overview Map of the United States”. 1:4,000,000. “Landslide Incidence and Susceptibility in the Conterminous United States”. < https://catalog.data.gov/dataset/landslide-incidence-and-susceptibility-in-the-conterminous-united-states-direct-download

    . Downloaded 07/2016.

    Classification

    The classifications of High, Moderate, and Low landslide susceptibility and incidence from the study were numerically coded, the average value was computed for each county, and the landslide hazard was classified based upon the average value.

    Long-Term Drought Hazard

    United States Drought Monitor, Drought Mitigation Center, United States Department of Agriculture, National Oceanic and Atmospheric Administration. “Drought Monitor Summary Map”. “Long-Term Drought Impact”. < http://droughtmonitor.unl.edu/MapsAndData/GISData.aspx >. Downloaded 06/2016.

    Classification

    Short-term drought areas were filtered from the data; leaving only long-term drought areas. United States Counties were assigned the average U.S. Drought Monitor Classification Scheme Drought Severity Classification value that characterizes the county area. County long-term drought hazard was classified based upon average Drought Severity Classification value.

    Low = 1 – 1.75 average Drought Severity Classification valueMedium = 1.76 -3.0 average Drought Severity Classification valueHigh = 3.0+ average Drought Severity Classification value

    Snowfall Hazard

    United States National Oceanic and Atmospheric Administration. “1981-2010 U.S. Climate Normals”. 1: 2,000,000. “Annual Snow Normal”. < http://www1.ncdc.noaa.gov/pub/data/normals/1981-2010/products/precipitation/

    . Downloaded 08/2016.

    Classification

    Average yearly snowfall was joined with point location of weather measurement stations, and stations without valid snowfall measurements were filtered out (leaving 6233 stations). Snowfall was interpolated using least squared distance interpolation to create a .05 degree raster describing an estimate of yearly snowfall for the United States. The average yearly snowfall raster was aggregated by county to yield the average yearly snowfall per United States County. The snowfall risk of counties was classified by average snowfall.

    None = 0 inchesLow = .01- 10 inchesMedium = 10.01- 50 inchesHigh = 50.01+ inches

    Tornado Hazard

    United States National Oceanic and Atmospheric Administration Storm Prediction Center. “Severe Thunderstorm Database and Storm Data Publication”. 1: 2,000,000. “United States Tornado Touchdown Points 1950-2004”. < https://catalog.data.gov/dataset/united-states-tornado-touchdown-points-1950-2004-direct-download

    . Downloaded 07/2016.

    Classification

    Each tornado touchdown point was assigned the value of the Fujita Scale that describes that event. Weighting each event by intensity ensures that areas with higher intensity events are characterized as more hazardous. Values describing each tornado event were aggregated by United States County, normalized by total county area, and the tornado hazard of counties was classified based upon the normalized value.

    Volcano Hazard

    Smithsonian Institution National Volcanism Program. “Volcanoes of the World”. “Holocene Volcanoes”. < http://volcano.si.edu/search_volcano.cfm

    . Downloaded 07/2016.

    Classification

    Volcano coordinate locations from spreadsheet were mapped and aggregated by United States County. Volcano count was normalized by county area, and the volcano hazard of counties was classified based upon the number of volcanoes present per unit area.

    None = 0 volcanoes/100 kilometersLow = 0.000915 - 0.007611 volcanoes / 100 kilometersMedium = 0.007612 - 0.018376 volcanoes / 100 kilometersHigh = 0.018377- 0.150538 volcanoes / 100 kilometers

    Wildfire Hazard

    United States Department of Agriculture, Forest Service, Fire, Fuel, and Smoke Science Program. “Classified 2014 Wildfire Hazard Potential”. 270 meters. < http://www.firelab.org/document/classified-2014-whp-gis-data-and-maps

    . Downloaded 06/2016.

    Classification

    The classifications of Very High, High, Moderate, Low, Very Low, and Non-Burnable/Water wildfire hazard from the study were numerically coded, the average value was computed for each county, and the wildfire hazard was classified based upon the average value.

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Esri U.S. Federal Datasets (2020). Tornado Tracks [Dataset]. https://gis-fema.hub.arcgis.com/datasets/fedmaps::tornado-tracks-1/about
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Data from: Tornado Tracks

Related Article
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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 7, 2020
Dataset provided by
Esrihttp://esri.com/
Authors
Esri U.S. Federal Datasets
Area covered
Description

Tornado TracksThis feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays tornadoes in the United States, Puerto Rico and U.S. Virgin Islands between 1950 and 2022. A tornado track shows the route of a tornado. Per NOAA, "A tornado is a narrow, violently rotating column of air that extends from a thunderstorm to the ground. Because wind is invisible, it is hard to see a tornado unless it forms a condensation funnel made up of water droplets, dust and debris. Tornadoes can be among the most violent phenomena of all atmospheric storms we experience. The most destructive tornadoes occur from supercells, which are rotating thunderstorms with a well-defined radar circulation called a mesocyclone. (Supercells can also produce damaging hail, severe non-tornadic winds, frequent lightning, and flash floods.)"EF-5 Tornado Track (May 3, 1999) near Oklahoma City, OklahomaData currency: December 30, 2022Data source: Storm Prediction CenterData modifications: Added fields Calculated Month and DateFor more information: Severe Weather 101 - Tornadoes; NSSL Research: TornadoesSupport documentation: SPC Tornado, Hail, and Wind Database Format SpecificationFor feedback, please contact: ArcGIScomNationalMaps@esri.comNational Oceanic and Atmospheric AdministrationPer NOAA, its mission is "To understand and predict changes in climate, weather, ocean, and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources."

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