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David Kitzmiller
Researcher at Silver Spring Networks
Publications - 38
Citations - 1385
David Kitzmiller is an academic researcher from Silver Spring Networks. The author has contributed to research in topics: Quantitative precipitation estimation & Radar. The author has an hindex of 12, co-authored 37 publications receiving 1222 citations. Previous affiliations of David Kitzmiller include National Oceanic and Atmospheric Administration.
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Journal ArticleDOI
National Mosaic and Multi-Sensor QPE (NMQ) System: Description, Results, and Future Plans
Jian Zhang,Kenneth W. Howard,Carrie Langston,Steve Vasiloff,Brian Kaney,Ami Arthur,Suzanne Van Cooten,Kevin E. Kelleher,David Kitzmiller,Feng Ding,Dong Jun Seo,Ernie Wells,Chuck Dempsey +12 more
TL;DR: The National Mosaic and Multi-sensor Quantitative Precipitation Estimation (NMQ) system was initially developed from a joint initiative between the National Oceanic and Atmospheric Administration's National Severe Storms Laboratory, the Federal Aviation Administration's Aviation Weather Research Program, and the Salt River Project.
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Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities
Jian Zhang,Kenneth W. Howard,Carrie Langston,Brian Kaney,Youcun Qi,Lin Tang,Heather M. Grams,Yadong Wang,Stephen B. Cocks,Steven M. Martinaitis,Ami Arthur,Karen Cooper,Jeff Brogden,David Kitzmiller +13 more
TL;DR: In this paper, the authors provide an overview of the initial operating capabilities of MRMS QPE products and present a suite of severe weather and quantitative precipitation estimation (QPE) products, which can be integrated with high-resolution numerical weather prediction model data, satellite data, and lightning and rain gauge observations.
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Improving QPE and Very Short Term QPF: An Initiative for a Community-Wide Integrated Approach
Steven V. Vasiloff,Dong Jun Seo,Kenneth W. Howard,Jian Zhang,David Kitzmiller,Mary G. Mullusky,Witold F. Krajewski,Edward A. Brandes,Robert M. Rabin,Daniel S. Berkowitz,Harold E. Brooks,John A. McGinley,Robert J. Kuligowski,Barbara G. Brown +13 more
TL;DR: In this article, the authors proposed a community-wide intension for quantitative precipitation and very short-term quantitative precipitation forecasts (VSTQPF) to meet the nation's needs for the precipitation information effectively and developed a list of science focus areas.
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Radar and Multisensor Precipitation Estimation Techniques in National Weather Service Hydrologic Operations
TL;DR: In this paper, the authors describe techniques used operationally by the National Weather Service (NWS) to prepare gridded multisensor (gauge, radar, and satellite) quantitative precipitation estimates (QPEs) for input into hydrologic forecast models and decision-making systems for river forecasting, flood and flash flood warning.
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The distributed model intercomparison project - Phase 2: Experiment design and summary results of the western basin experiments
Michael Smith,Victor Koren,Ziya Zhang,Ziya Zhang,Fekadu Moreda,Zhengtao Cui,Brian Cosgrove,Naoki Mizukami,Naoki Mizukami,David Kitzmiller,Feng Ding,Seann Reed,Eric A. Anderson,John C. Schaake,Yu Zhang,Vazken Andréassian,Charles Perrin,Laurent Coron,Audrey Valéry,Behnaz Khakbaz,Soroosh Sorooshian,Ali Behrangi,Bisher Imam,Kuolin Hsu,Ezio Todini,Gabriele Coccia,Cinzia Mazzetti,Enrique Ortiz Andres,Félix Francés,Ismael Orozco,Robert Hartman,Arthur Henkel,Peter Fickenscher,Scott Staggs +33 more
TL;DR: The DMIP 2 experiments were conducted for the two Sierra Nevada basins as mentioned in this paper, and the results showed that the distributed models were able to provide valuable information on specific flood events that could complement lumped model simulations.