Skip to main content

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 integrates global lightning observations from multiple ground- and space-based instruments (owned publicly and commercially) into a single variable that can be monitored from any platform. These datasets allow for long term study of lightning activity across the globe and serves as a proxy for global convection, or “storminess,” which is otherwise difficult to monitor at a global scale.

The first observations come from the World Wide Lightning Location Network on January 1, 2013, and the additional instruments with data extend the record through December 31, 2024. New data from available instruments will be added annually. 

Cite the Collection

Virts, Katrina, S. Goodman, R. Said. 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: http://dx.doi.org/10.5067/GLOBALTH/DATA101.

General Characteristics

ProjectWorld Meteorological Organization
PlatformsGround Stations, GOES-16, -17, -18, and -19, International Space Station, Orbview-1, and Tropical Rainfall Measuring Mission
Sensors/InstrumentsOTD, LIS, 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 ResolutionHourly
Start Date

January 1, 2013

  • Individual start dates will vary by instrument
Stop Date

December 31, 2024

  • 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.