Hydro-NEXRAD is a prototype software system that provides hydrology and water resource communities with ready access to the vast data archives of the U.S. weather radar network known as NEXRAD (Next Generation Weather Radar). This paper describes radar-rainfall estimation algorithms and their modular components used in the Hydro-NEXRAD system to generate rainfall products to be delivered to users. A variety of customized modules implemented in Hydro-NEXRAD perform radar-reflectivity data processing, produce radar-rainfall maps with user-requested space and time resolution, and combine multiple radar data for basins covered by multiple radars. System users can select rainfall estimation algorithms that range from simple (‘Quick Look’) to complex and computing-intensive (‘Hi-Fi’). The ‘Pseudo NWS PPS’ option allows close comparison with the algorithm used operationally by the US National Weather Service. The ‘Custom’ algorithm enables expert users to specify values for many of the parameters in the algorithm modules according to their experience and expectations. The Hydro-NEXRAD system, with its rainfall-estimation algorithms, can be used by both novice and expert users who need rainfall estimates as references or as input to their hydrologic modelling and forecasting applications
Skip Nav Destination
Article navigation
Research Article|
November 06 2010
Radar-rainfall estimation algorithms of Hydro-NEXRAD
Bong-Chul Seo;
Bong-Chul Seo
1IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA 52242, USA
Search for other works by this author on:
Witold F. Krajewski;
1IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA 52242, USA
E-mail: [email protected]
Search for other works by this author on:
Anton Kruger;
Anton Kruger
1IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA 52242, USA
Search for other works by this author on:
Piotr Domaszczynski;
Piotr Domaszczynski
1IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA 52242, USA
Search for other works by this author on:
James A. Smith;
James A. Smith
2Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA
Search for other works by this author on:
Matthias Steiner
Matthias Steiner
2Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA
Search for other works by this author on:
Journal of Hydroinformatics (2011) 13 (2): 277–291.
Article history
Received:
December 31 2009
Accepted:
June 08 2010
Citation
Bong-Chul Seo, Witold F. Krajewski, Anton Kruger, Piotr Domaszczynski, James A. Smith, Matthias Steiner; Radar-rainfall estimation algorithms of Hydro-NEXRAD. Journal of Hydroinformatics 1 March 2011; 13 (2): 277–291. doi: https://doi.org/10.2166/hydro.2010.003
Download citation file: