Anabor, V., DJ Stensrud, and OLL de Moraes, 2009: Simulation of a serial upstream-
propagating mesoscale convective system event over southeastern South America using …

Accurate and timely prediction of lightning occurrences plays a crucial role in safeguarding
human well-being and the global environment. Machine-learning-based models have been …

Abstract The Geostationary Lightning Mappers (GLMs) on NOAA's current Geostationary
Operational Environmental Satellites (GOES) map the lateral development of lightning …

This paper proposes an Artificial Neural Network (ANN) model using a Multi-Stage method
to optimize the configuration of an External Lightning Protection System (ELPS) and …

Brazil is one of the regions in the world where lightning most occurs. With the launch of the
Geostationary Environmental Operational Satellite–16 (GOES-16), it was possible, for the …

We found two kinds of side breakdowns from the active horizontal negative channel in a
positive cloud‐to‐ground flash. During the propagation of the negative leader in the field‐of …

GOES-16 measurements of the top duration candidate are displayed in Fig. 2. The
horizontal structure of the flash (white line segments) and maximum spatial extent (gold X …

Optical space‐based lightning sensors including NOAA's Geostationary Lightning Mapper
(GLM) detect lightning though its transient illumination of the surrounding clouds. What …

Abstract Space‐based optical lightning sensors including the lightning imaging sensor (LIS)
and geostationary lightning mapper (GLM) are pixelated imagers that detect lightning as …

This value assessment documents societal and economic benefits that can be attributed to a
Geostationary Lightning Mapper (GLM) to advise future satellite architecture decisions. The …