J
Jay P. Breidenbach
Researcher at Silver Spring Networks
Publications - 8
Citations - 1621
Jay P. Breidenbach is an academic researcher from Silver Spring Networks. The author has contributed to research in topics: Radar & Rain gauge. The author has an hindex of 5, co-authored 8 publications receiving 1531 citations. Previous affiliations of Jay P. Breidenbach include National Oceanic and Atmospheric Administration & University of Iowa.
Papers
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The WSR-88D Rainfall Algorithm
TL;DR: In this paper, a detailed description of the operational WSR-88D rainfall estimation algorithm is presented, and the processing steps to quality control and compute the rainfall estimates are described, and current deficiencies and future plans for improvement are discussed.
Journal ArticleDOI
Real-Time Correction of Spatially Nonuniform Bias in Radar Rainfall Data Using Rain Gauge Measurements
Dong Jun Seo,Jay P. Breidenbach +1 more
TL;DR: In this paper, a procedure for real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements is described, which is a generalized local bias estimator that may be used under varying conditions of rain gauge network density and types of rainfall.
Journal ArticleDOI
Real-time estimation of mean field bias in radar rainfall data
TL;DR: In this paper, a new procedure for real-time estimation of mean field bias in WSR-88D (Weather Surveillance Radar-1988 Doppler version) rainfall products is proposed.
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Real-time adjustment of range-dependent biases in WSR-88D rainfall estimates due to nonuniform vertical profile of reflectivity
TL;DR: In this article, a real-time adjustment of range-dependent biases in Weather Surveillance Radar-1988 Doppler version (WSR-88D) rainfall estimates due to nonuniform vertical profile of reflectivity is proposed.
Seasonal Variation in Multi-Radar Coverage for WSR-88D Precipitation Estimation in a Mountainous Region
TL;DR: In this article, the WSR-88D Precipitation Processing System (PPS) computes estimates of rainfall out to a radius of 230 km from the radar (Fulton et al. 1998).