"geostationary lightning mapper" · 2 results · Global ETD Search

Results

Showing 1 to 2 of 2 for “"geostationary lightning mapper"”.

Lightning Prediction with Deep Learning at Varying Temporal and Spatial Scales

McClung, BrandonUniversity of Oklahoma – Graduate College2026

Lightning directly causes human fatalities, sparks costly wildfires, and can be triggered during rocket launches, potentially harming high-value payloads. This threat is increasingly consequential as launch activity at Kennedy Space Center exceeds 100 launches per year. Observing the microphysical …

oklahoma-thes Repository record for Lightning Prediction with Deep Learning at Varying Temporal and Spatial Scales (opens in a new tab)
GREMLIN: GOES radar estimation via machine learning to inform NWP

Hilburn, Kyle Aaron, author, Miller, Steven D., advisor, Kummerow, Christian D., committee member, Barnes, Elizabeth A., committee member, Ebert-Uphoff, Imme, committee member, Alexander, Curtis R., committee memberColorado State University. Libraries2023

Imagery from the Geostationary Operational Environmental Satellite (GOES) has been a key element of U.S. operational weather forecasting since 1975. The latest generation, the GOES-R Series, offers new capabilities to support the need for high-resolution rapidly refreshing imagery for situational …

colostate Repository record for GREMLIN: GOES radar estimation via machine learning to inform NWP (opens in a new tab)