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The WSR-88D Rainfall Algorithm

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TLDR
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.
Abstract
A detailed description of the operational WSR-88D rainfall estimation algorithm is presented. This algorithm, called the Precipitation Processing System, produces radar-derived rainfall products in real time for forecasters in support of the National Weather Service’s warning and forecast missions. It transforms reflectivity factor measurements into rainfall accumulations and incorporates rain gauge data to improve the radar estimates. The products are used as guidance to issue flood watches and warnings to the public and as input into numerical hydrologic and atmospheric models. The processing steps to quality control and compute the rainfall estimates are described, and the current deficiencies and future plans for improvement are discussed.

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Comparison of near-real-time precipitation estimates from satellite observations and numerical models

TL;DR: In this article, the authors provide potential users of short-interval satellite rainfall estimates with information on the accuracy of such estimates, and compare the satellite-derived estimates of precip...
Journal ArticleDOI

PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies

TL;DR: In this paper, a new retrospective satellite-based precipitation dataset is constructed as a climate data record for hydrological and climate studies, which addresses the need for a consistent, long-term, high-resolution, and global precipitation dataset for studying the changes and trends in daily precipitation, especially extreme precipitation events, due to climate change and natural variability.
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The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors

TL;DR: The latest improvements applied to the Goddard profiling algorithm (GPROF) are described, particularly as they apply to the Tropical Rainfall Measuring Mission (TRMM), and the new algorithm makes use of emission and scattering indices instead of individual brightness temperatures.
References
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Book

Applied Optimal Estimation

Arthur Gelb
TL;DR: This is the first book on the optimal estimation that places its major emphasis on practical applications, treating the subject more from an engineering than a mathematical orientation, and the theory and practice of optimal estimation is presented.
Book

Characterization of ceramics

TL;DR: This article reviewed the principles of Doppler radar and emphasized the quantitative measurement of meteorological parameters, and illustrated the relation of radar data and images to atmospheric phenomena such as tornadoes, microbursts, waves, turbulence, density currents, hurricanes, and lightning.
Journal ArticleDOI

Potential Use of Radar Differential Reflectivity Measurements at Orthogonal Polarizations for Measuring Precipitation

TL;DR: In this paper, the potential use of differential reflectivity measurements at orthogonal polarizations to determine rain-fall rate was examined, which involves measurements of ZH and ZV, the radar reflectivity factors due to horizontally and vertically polarized incident waves respectively.
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