Hydro-NEXRAD radar-rainfall estimation algorithm development, testing and evaluation

Witold F. Krajewski, Bong Chul Seo, Anton Kruger, Piotr Domaszczynski, Gabriele Villarini, Charles Gunyon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The Hydro-NEXRAD radar-rainfall estimation algorithms involve three main components: 1) preprocessing, 2) rain rate, and 3) rainfall accumulation. The preprocessing algorithm performs the quality control of reflectivity volume data and generates a hybrid scan. That is, reflectivity values for each azimuth and range bin are assigned from the several lowest elevation angles. It optionally estimates an azimuth-dependent vertical reflectivity profile and performs a correction for range effects. The rain rate algorithm converts the corrected reflectivity to rainfall intensity. The user can specify any power-law type empirical relationship between reflectivity and rainfall intensity. The last step of rainfall estimation is to integrate consecutive rate scans for specific time duration ranging from 15 minutes to daily. The algorithm mimics real-time calculations and involves advection correction.

Original languageEnglish (US)
Title of host publicationRestoring Our Natural Habitat - Proceedings of the 2007 World Environmental and Water Resources Congress
PublisherAmerican Society of Civil Engineers (ASCE)
ISBN (Print)9780784409275
DOIs
StatePublished - 2007
Externally publishedYes

Publication series

NameRestoring Our Natural Habitat - Proceedings of the 2007 World Environmental and Water Resources Congress

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Water Science and Technology

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