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Thunder Hour Data Collection

The global thunder hour dataset aims to create a core set of global observations to be able to study weather long term.

The World Meteorological Organization thunder hour essential variable creates global lightning observations from multiple ground- and space-based instruments (owned publicly and commercially). Each platform produces a thunder hour dataset, which enables easy inter-comparisons between all participating instruments. These datasets allow for long-term studies of lightning activity around the globe and serve as proxies for global convection, or “storminess,” which is otherwise difficult to monitor at a global scale.

Climatological thunder hours are available from satellites for 1998 onward, while global ground network-based thunder hour availability varies by network, with the earliest starting in January 2014.  The data record extends through December 31, 2025, and new data from available instruments will be added annually.

Cite the Collection

Virts, Katrina, S. Goodman, R. Said, L. DiGangi, and J. Lapierre (2025) Global Thunder Hour Collection [indicate instrument and subset used]. Data available online [https://earthdata.nasa.gov/centers/ghrc-daac] from the NASA EOSDIS Global Hydrometeorology Resource Center Distributed Active Archive Center, Huntsville, Alabama, U.S.A. doi: https://dx.doi.org/10.5067/GLOBALTH/DATA101.

General Characteristics

ProjectWorld Meteorological Organization
PlatformsGround Stations, GOES-16, 17, 18, and 19, International Space Station, and Tropical Rainfall Measuring Mission
Sensors/InstrumentsLIS, GLM, WWLLN, ENTLN, GLD360
ParametersLightning Thunder Hours
Processing Level3
FormatsnetCDF, mp4, png
LocationGlobal
Spatial Resolution0.05 degrees latitude by 0.05 degrees longitude
Boundaries 
(note: will vary by individual instrument)

North: 90.0

South: -90.0

West: -180.0

East: 180.0

Temporal ResolutionWill vary by instrument: Hourly, monthly, and annually 
Start Date

January 1, 1998

  • Individual start dates will vary by instrument
Stop Date

December 31, 2025

  • Individual stop dates will vary by instrument
  • Will update annually

Documentation

 

General Documentationhttps://doi.org/10.1175/BAMS-D-20-0198.1
DiGangi, E. A., M. Stock, and J. Lapierre. (2022) Thunder Hours: How Old Methods Offer New Insights into Thunderstorm Climatology. Bull. Amer. Meteor. Soc., 103, E548–E569.