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2005•Unpublished venueRequires access

The National Mosaic and multisensor QPE (NMQ) Project - Status and plans for a community testbed for high-resolution multisensor quantitative precipitation estimation (QPE) over the United States

Dong Jun Seo, Chandra R. Kondragunta, David Kitzmiller, Kenneth W. Howard, Jian Zhang, Steven V. Vasiloff

Open publisher page 9 citations

Abstract

It is widely recognized that comprehensive hydrometeorological and hydrologic data assimilation and distributed hydrologic modeling are two of the most

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What this paper is about

It is widely recognized that comprehensive hydrometeorological and hydrologic data assimilation and distributed hydrologic modeling are two of the most

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

It is widely recognized that comprehensive hydrometeorological and hydrologic data assimilation and distributed hydrologic modeling are two of the most

Key concepts: Hydrometeorology, Quantitative precipitation estimation, Environmental science, Hydrological modelling, Meteorology, Precipitation, Climatology, Geography

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The National Mosaic and multisensor QPE (NMQ) Project - Status and plans for a community testbed for high-resolution multisensor quantitative precipitation estimation (QPE) over the United States — Research Paper | ScholarLens