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The WWLLN Global Lightning Climatology and timeseries (WGLC)

Authors: Kaplan, Jed O.; Lau, Katie Hong-Kiu;

The WWLLN Global Lightning Climatology and timeseries (WGLC)

Abstract

The WWLLN Global Lightning Climatology and timeseries (WGLC) This repository contains global lightning stroke density and stroke power calculated from georeferenced stroke count data from the World Wide Lightning Location Network WWLLN. The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree 5 arc-minute and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. Mean, median, and standard deviation of stroke power are also provided at 30-minute resolution. The corrected hourly rasters were then aggregated into daily and monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2020 and will be updated in the coming years. For a complete description of the data see: Kaplan, J. O., & Lau, K. H.-K. (2021). The WGLC global gridded lightning climatology and timeseries. Earth Syst. Sci. Data Discuss., 2021, 1-25. doi:10.5194/essd-2021-89 The data are stored in a NetCDF (version 4) files and have the following attributes: Spatial extent: Entire Earth Spatial reference system (SRS): Unprojected (geographic, WGS84) Spatial resolution: half-degree and 5 arc-minute Temporal extent: 2010-2020 Temporal resolution: daily and monthly1,2 Variables included in this release Lightning density Lightning mean, median, and standard deviation of stroke power. For further details, see https://github.com/ARVE-Research/WGLC 14018 elements in the time dimension for daily data; 108 for monthly data; 12 for the climatology. 2Daily fields currently available at 30-minute resolution only.

In this version the data for lightning stroke density have been updated to correctly reflect the units in the file metadata (strokes km-2 day-1).

Related Organizations
Keywords

NOx sources, WWLLN, fire ignitions, global climate, atmospheric energy

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