Articles | Volume 22, issue 9
https://doi.org/10.5194/nhess-22-2943-2022
https://doi.org/10.5194/nhess-22-2943-2022
Research article
 | 
06 Sep 2022
Research article |  | 06 Sep 2022

A satellite lightning observation operator for storm-scale numerical weather prediction

Pauline Combarnous, Felix Erdmann, Olivier Caumont, Éric Defer, and Maud Martet

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Latest update: 14 Jun 2024
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Short summary
The objective of this study is to prepare the assimilation of satellite lightning data in the French regional numerical weather prediction system. The assimilation of lightning data requires an observation operator, based on empirical relationships between the lightning observations and a set of proxies derived from the numerical weather prediction system variables. We fit machine learning regression models to our data to yield those relationships and to investigate the best proxy for lightning.
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