4 datasets found
  1. Leading states with the highest lightning density in the U.S. 2023

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Leading states with the highest lightning density in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1292514/leading-states-by-total-lightning-density-us/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Florida was the state with the highest lightning density across the United States in 2023, having recorded nearly 113 lightning events per square kilometer. That year, Florida was also the state with the second-largest number of lightning strikes in total. Meanwhile, the state of Mississippi ranked second in terms lightning density, at about 104 lightning events per square kilometer.

  2. W

    Ignition Cause -1992-2020 - Lightning Cause

    • wifire-data.sdsc.edu
    geotiff, wcs, wms
    Updated Mar 25, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Wildfire & Forest Resilience Task Force (2025). Ignition Cause -1992-2020 - Lightning Cause [Dataset]. https://wifire-data.sdsc.edu/dataset/clm-ignition-cause-1992-2020-lightning-cause
    Explore at:
    wcs, wms, geotiffAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    California Wildfire & Forest Resilience Task Force
    License

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

    Description

    These rasters depict the predicted human- and lightning-caused ignition probability for the state of California. Ignition is regulated by complex interactions among climate, fuel, topography, and humans. Considerable studies have advanced our knowledge on patterns and drivers of total areas burned and fire frequency, but much is less known about wildfire ignition. To better design effective fire prevention and management strategies, it is critical to understand contemporary ignition patterns and predict the probability of wildfire ignitions from different sources. UC Davis researchers modeled and analyzed human- and lightning-caused ignition probability across the whole state and sub-ecoregions of California, USA.

    Findings reinforce the importance of varying humans vs biophysical controls in different fire regimes, highlighting the need for locally optimized land management to reduce ignition probability. Based on the most complete ignition database available, researchers developed maximum entropy models to predict the spatial distribution of long-term human- and lightning-caused ignition probability at 1 km and investigated how a set of biophysical and anthropogenic variables controlled their spatial variation in California and across its sub-ecoregions. Results showed that the integrated models with both biophysical and anthropogenic drivers predicted well the spatial patterns of both human- and lightning-caused ignitions in statewide and sub-ecoregions of California. Model diagnostics of the relative contribution and marginalized response curves showed that precipitation, slope, human settlement, and road network were the most important variables for shaping human-caused ignition probability, while snow water equivalent, lightning density, and fuel amount were the most important variables controlling the spatial patterns of lightning-caused ignition probability. The relative importance of biophysical and anthropogenic predictors differed across various sub-ecoregions of California.

  3. New Mexico Department of Transportation Situational Awareness Display

    • noaa.hub.arcgis.com
    Updated May 19, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NOAA GeoPlatform (2019). New Mexico Department of Transportation Situational Awareness Display [Dataset]. https://noaa.hub.arcgis.com/maps/fd9908f18aee449fa9207e0d9222b55a
    Explore at:
    Dataset updated
    May 19, 2019
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    This map is used for a weather monitoring tab in the New Mexico Department of Transportation Situational Awareness Display. Click here for the bigger Situational Awareness Display. ** Layer info is linked bellow **Layers:

    Note the data in orange display different sites depending on the maps zoom level. So more zoomed in will show more data points rather than zoomed all of the way out

    1) Current Warnings: Current National Weather Service Warnings. Clicking on the warning in the map will bring up more information and a link to the official text product.

    2)
    NWS County Warning Areas: Areas of responsibility for each NWS weather forecast office. Clicking within an office’s warning area will bring up a pop – up that has a link to that offices 7 day forecast. Just scroll through the text product to find the area of interest.

    3)
    Storm Reports: Reports from the past 24 hours will sit in this data layer. Clicking on each icon will show a pop-up that gives more information on that specific report (time, location, remarks, and magnitude). Traffic: Current traffic on all major roads and highways. Dust Storm Warnings and Advisories: Current dust warning and advisory products out.

    4)
    NMDOT District Boundaries: The NM DOT District one domain. Outlined in red

    5)
    USA Counties: The counties within NMDOT district one.

    6)
    Wind gusts: The current observed wind gusts. See legend for color scale

    7)
    Wind Speeds: The current sustained wind speeds. See legend for color scale

    8)
    Current Temperature: The current temperature, see legend for color scale

    9)
    Current Dew Point Temperature: The current dew point temperature, see legend for color scale

    10)
    Weather Hazards Outlooks: Shows Temperature, Precipitation, and Wildfire/Drought hazard outlooks for 3-7 days out and 8-14 days out.

    11)
    Lightning Strike Density Imagery (Recent Satellite Emulated Lightning Strike Density Imagery (NOAA)): 15 minute lightning strike density. Deeper colors show more strikes per area and time. A good measure of intense storms.

    12)
    Radar: The most current radar image is shown. Image refreshes every 4 minutes.

    13)
    Weather Watches and Advisories: Current NWS Watches and Advisories.

  4. a

    BLM ID Wildfire Information Map - History

    • nifc.hub.arcgis.com
    Updated Aug 27, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Interagency Fire Center (2019). BLM ID Wildfire Information Map - History [Dataset]. https://nifc.hub.arcgis.com/maps/d10c2065a31646a9a97b6934b73bfe86
    Explore at:
    Dataset updated
    Aug 27, 2019
    Dataset authored and provided by
    National Interagency Fire Center
    Area covered
    Description

    All data displayed on this Dashboard is near real-time, automatically updating at regular intervals. Web Services used in the dashboard: (visit link to learn more about each service) IRWIN - The Integrated Reporting of Wildland-Fire Information (IRWIN) service is an investment intended to enable “end-to-end” fire reporting capability. IRWIN provides data exchange capabilities between existing applications used to manage data related to wildland fire incidents. IRWIN focuses on the goals of reducing redundant data entry, identifying authoritative data sources, and improving the consistency, accuracy, and availability of operational data.IRWIN can be thought of as a central hub that orchestrates data between the various applications. Users continue to utilize existing applications. Data is synchronized between participating applications to ensure the most current data is available in near real time. IRWIN supports conflict detection and resolution on all new wildfire incidents to support a unique record for each incident.NOAA nowCOAST - Provides web services of near real-time observations, analyses, tide predictions, model guidance, watches/warnings, and forecasts for the coastal United States by integrating data and information across NOAA, other federal agencies and regional ocean and weather observing systems (source). All layers below automatically refresh every five minutes.Tornado Warning - National Weather Service warning for short duration hazard.Severe Thunderstorm Warning - National Weather Service warning for short duration hazard.Flash Flood Warning - National Weather Service warning for short duration hazard.Red Flag Warning - National Weather Service warning for long duration hazard.nowCOAST Lightning Strike Density - 15-minute Satellite Emulated Lightning Strike Density imagery for the last several hours.nowCOAST Radar - Weather Radar (NEXRAD) Reflectivity Mosaics from NOAA MRMS for Alaska, CONUS, Puerto Rico, Guam, and Hawaii for last several hours.Data in each MapLast 24 Hours Map:New Starts - IRWIN Data where any incident that has occured within the last 24 hour time period.Current Large Incidents - IRWIN Data where incidents that have created an ICS 209 document at the type 3 Incident Commander (IC) level and above and are less than 100% contained.Ongoing - IRWIN Data where incidents that do not have a containment, control, or out date.Contained - IRWIN Data where incidents with a containment date but no control or out date.Season Summary Map:Fires by Cause - IRWIN data where any incident (Wildfire) that has occurred year to date displayed by cause. National Incident Feature Service 2019 (Fire Perimeters) - Must be set to 'Approved' and 'Public' to be displayed on the map. Automatically refreshes every five minutes. Data collected using Collector and the National InterAgency Fire Centers ArcGIS OnLine softwareNonActive Fires - Idaho's archived fire perimeters. Fires that are no longer available in the National Incident Feature Service 2019 (Fire Perimeters) because they have been inactive (out) for over a week.Fire History Map:Fire Ignition Points (Current Year) - IRWIN Data where any incident (Wildfire) that has occurred year to date displayed by daily acres Fire Ignition Points (Last 20yrs) - Idaho Fire Management Plan (FMP) locations of wildfire starts occur and a note of general causes for wildfires, since 1980Fire Frequency (Last 20yrs) - Idaho Fire Management Plan (FMP) determining how frequently a piece of ground is ignited and burns. Fires greated then 10 acres only were used in determining frequency. It is known that historical data from prior to the 1980s was inconsistantly recorded and therefore the information reflected in this dataset may not be complete and should be used with discretion.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista, Leading states with the highest lightning density in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1292514/leading-states-by-total-lightning-density-us/
Organization logo

Leading states with the highest lightning density in the U.S. 2023

Explore at:
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

Florida was the state with the highest lightning density across the United States in 2023, having recorded nearly 113 lightning events per square kilometer. That year, Florida was also the state with the second-largest number of lightning strikes in total. Meanwhile, the state of Mississippi ranked second in terms lightning density, at about 104 lightning events per square kilometer.

Search
Clear search
Close search
Google apps
Main menu