Estimating detection efficiency in the absence of satellites: ENTLN detection efficiency in 2015 and 2016

Autor: Jeff Lapierre, Max Borges, Stan Heckman, Michael Stock, James Anderson
Rok vydání: 2017
Předmět:
Zdroj: 2017 International Symposium on Lightning Protection (XIV SIPDA).
DOI: 10.1109/sipda.2017.8116947
Popis: To estimate the detection efficiency of a ground based lightning location system, typically the ground based locations are compared to those seen by satellite. This works well because the detection efficiency of the satellite is relatively uniform with space, and reasonably good. However, this technique does not work for the 2015 or 2016 calendar years because the LIS satellite used is no longer in orbit, and has only recently been replaced by ISS-LIS. In this study, we will investigate applying a machine learning regression algorithm Lasso to lightning parameters determined by ENTLN to see if it is possible to estimate the detection efficiency of the network without satellite data.
Databáze: OpenAIRE