Algorithm for improved QPE over complex terrain using cloud-to-ground lightning occurrences

Carlos Minjarez-Sosa, Julio Waissman, Christopher L. Castro, David Adams

Research output: Contribution to journalArticle

Abstract

Lightning and deep convective precipitation have long been studied as closely linked variables, the former being viewed as a proxy, or estimator, of the latter. However, to date, no single methodology or algorithm exists for estimating lightning-derived precipitation in a gridded form. This paper, the third in a series, details the specific algorithm where convective rainfall was estimated with cloud-to-ground lightning occurrences from the U.S. National Lightning Detection Network (NLDN), for the North American Monsoon region. Specifically, the authors present the methodology employed in their previous studies to get this estimation, noise test, spatial and temporal neighbors and the algorithm of the Kalman filter for dynamically derived precipitation from lightning.

Original languageEnglish (US)
Article number85
JournalAtmosphere
Volume10
Issue number2
DOIs
StatePublished - Jan 1 2019

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Keywords

  • Algorithm
  • Complex terrain
  • Kalman filter
  • Lightning
  • Quantitative Precipitation Estimation

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)

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