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Hosted/Mississippi_Tornado_Events_from_2000_to_2020_WFL1 (FeatureServer)

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Service Description: The tornado events in the state of Mississippi from the year 2000 until 2020.

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Has Versioned Data: false

MaxRecordCount: 2000

Supported Query Formats: JSON

Supports Query Data Elements:

Layers: Description: <span><div>When severe weather occurs in the United States, there are networks of humans and sensors that observe and report the events and their details to the National Weather Service. These storm reports are aggregated and archived by NOAA's National Centers for Environmental Information. With over 1.5 million records over 70 years, the <a href='https://www.ncdc.noaa.gov/stormevents/' target='_blank' rel='nofollow ugc noopener noreferrer'>Storm Events Database</a> is the most comprehensive, official record of severe weather in the U.S. </div><div><br /></div><div>This layer is a simplified version of the full database, providing information on:</div><div><ul><li>Date</li><li>Location</li><li>Event Type</li><li>Number of injuries and deaths</li><li>Estimated property damage</li><li>Event/episode summaries</li></ul><div>For related archives of weather information, please see the <a href='https://livingatlas.arcgis.com/en/browse/#d=2&amp;q=%22Windstorm%22&amp;cont=true&amp;categories=Environment%3A0001000000' target='_blank' rel='nofollow ugc noopener noreferrer'>Windstorm Points and Paths</a>, <a href='https://livingatlas.arcgis.com/en/browse/#d=2&amp;q=%22Hailstorm%22&amp;cont=true&amp;categories=Environment%3A0001000000' target='_blank' rel='nofollow ugc noopener noreferrer'>Hailstorm Points and Paths</a>, and <a href='https://livingatlas.arcgis.com/en/browse/#d=2&amp;q=%22Historical%20hurricane%22&amp;cont=true&amp;categories=Environment%3A0001000000' target='_blank' rel='nofollow ugc noopener noreferrer'>Historical Hurricane</a> layers.<u><br /></u></div><div><u><br /></u></div><div><b>Data caveats</b></div></div><div>Per NCEI, the &quot;National Weather Service receives their information from a variety of sources, which include but are not limited to: county, state and federal emergency management officials, local law enforcement officials, skywarn spotters, NWS damage surveys, newspaper clipping services, the insurance industry and the general public, among others.&quot; However, these sources are all population-dependent, and many severe weather events are assumed to not be reported in areas of low population. Not only does this bias occur across space, but also across time as many areas had lower populations in the mid-20th Century, and more advanced networks and reporting methods have evolved with technology. </div></span>

Service Item Id: 3286dd172a7843a1bffd183c002bbde2

Copyright Text:

Spatial Reference: 102100  (3857)  LatestVCSWkid(0)


Initial Extent: Full Extent: Units: esriMeters

Document Info: Enable Z Defaults: false

Supports ApplyEdits With Global Ids: false

Supports Dynamic Layers: false

Child Resources:   Info   Relationships

Supported Operations:   Query   Query Contingent Values   Append   Get Estimates