World Wide Lightning Location Network (WWLLN) Monthly Thunder Hour Data
Resources
10 resources available
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ISO
Original Metadata
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BIN
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "Earthdata Forum",
"@type": "vcard:Contact",
"hasEmail": "mailto:earthdata-support@nasa.gov"
}
|
| description | The World Wide Lightning Location Network (WWLLN) has monitored global lightning since late 2004. Since 2013, the number of global WWLLN sensors has remained largely consistent. This WWLLN Monthly Thunder Hour dataset is calculated from lightning detections from 1 January 2013 onward and is an ongoing dataset. A thunder hour is an hour during which thunder can be heard at a given location. Thunder hours represent a historical measure of lightning occurrence and a metric of thunderstorm frequency that is comparatively less sensitive to geographic variations in the detection capabilities of a lightning location system. Thunder hours are the number of hours in a given month during which at least two WWLLN strokes were observed within 15 km of each grid point. Each file includes the monthly accumulated thunder hours for one year. The data are provided at 0.05° latitude and longitude resolution. |
| distribution |
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{
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"mediaType": "application/octet-stream",
"downloadURL": "http://wwlln.net/"
},
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"downloadURL": "https://doi.org/10.1175/BAMS-D-20-0198.1"
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|
| identifier | 10.5067/WWLLN/DATA101 |
| keyword |
[
"earth-science-atmospheric-electricity-atmosphere-lightning"
]
|
| license | https://www.usa.gov/government-works |
| modified | 2026-06-08 |
| programCode |
[
"026:000"
]
|
| publisher |
{
"name": "NASA/MSFC/GHRC",
"@type": "org:Organization"
}
|
| spatial |
"["CARTESIAN", [{"NorthBoundingCoordinate": 90, "WestBoundingCoordinate": -180, "SouthBoundingCoordinate": -90, "EastBoundingCoordinate": 180}]]"
|
| temporal | 2013-01-01/2025-12-31 |
| theme |
[
"Earth Science"
]
|
| title | World Wide Lightning Location Network (WWLLN) Monthly Thunder Hour Data |