Lightning Jump Algorithm for GOES-R Geostationary Lightning Mapper (GLM) Proxy Data

The upcoming GOES-R satellite series will have a unique capability of monitoring total lightning (in-cloud + cloud to ground) from space using the Geostationary Lightning Mapper (GLM). Research over the last several decades has shown that total lightning provides useful information in the severe weather warning decision making process. The main focus of current research is the development and implementation of an algorithm to detect rapid increases in total lightning (also known as “lightning jumps”) for operational applications using the GLM data stream.

This research aims to adapt the lightning jump algorithm, originally developed for ground based Lightning Mapping Arrays (LMAs), to function with GLM resolution data. This work is developing and improving an integrated and automated system which includes objective storm cell tracking, GLM proxy information, and the lightning jump algorithm to simulate future capabilities of GLM for monitoring and forecasting severe weather. The current framework of the system utilizes NEXRAD radar and GLM proxy data for tracking of thunderstorm cells in order to build accurate time histories of the total flash rate within a given storm. This information then provides the basis for determining if and when a lightning jump has occurred using current lightning jump detection methods.

A discussion of modifications to the original lightning jump algorithm to address the differences between ground and space based detection systems will be presented along with verification results of the current GLM Proxy based lightning jump algorithm.