K
Kenneth W. Howard
Researcher at National Oceanic and Atmospheric Administration
Publications - 72
Citations - 4215
Kenneth W. Howard is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Radar & Quantitative precipitation estimation. The author has an hindex of 31, co-authored 71 publications receiving 3820 citations. Previous affiliations of Kenneth W. Howard include Office of Oceanic and Atmospheric Research.
Papers
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The Mexican Monsoon
TL;DR: In this article, the Mexican monsoon phenomenon is described from analyses of monthly mean rainfall, geostationary satellite imagery, and raw-insonde data, and the difficulty in explaining the observed precipitation distribution and its timing from monthly mean upper-air wind and moisture patterns is discussed.
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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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Weather Radar Coverage over the Contiguous United States
TL;DR: In this article, the authors used terrain and radar beam-elevation data to examine the spatial coverage provided by the national operational network of Doppler weather radars, showing that radar surveillance near 700 and 500 hPa is very limited for some portions of the contiguous United States.
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Constructing Three-Dimensional Multiple-Radar Reflectivity Mosaics: Examples of Convective Storms and Stratiform Rain Echoes
TL;DR: This paper investigates several approaches to remapping and combining multiple-radar reflectivity fields onto a unified 3D Cartesian grid with high spatial and temporal resolutions to find an analysis approach that retains physical characteristics of the raw reflectivity data with minimum smoothing or introduction of analysis artifacts.