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Book ChapterDOI

Precipitation Measurement and Hydrology

TLDR
In this article, the most important advantage of using radar for precipitation measurements is the coverage of a large area with high spatial and temporal resolution from a single point and in real time.
Abstract
The most important advantage of using radar for precipitation measurements is the coverage of a large area with high spatial and temporal resolution from a single point and in real time. Furthermore, the three-dimensional picture of the weather situation can be extended over a very large area by compositing data from several radars. However, we have not been able until recently to make measurements over a large area with an accuracy acceptable for hydrological applications.

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Citations
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Journal ArticleDOI

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

Radar hydrology: rainfall estimation.

TL;DR: In this article, the authors discuss the issues of radar-rainfall product development, and the theoretical and practical requirements of validating radarrainfall maps and new radar technologies, and discuss a framework for reflectivity based rainfall estimation.
Journal ArticleDOI

Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall

TL;DR: In this paper, the authors provide an extensive literature review of the principal sources of error affecting single polarization radar-based rainfall estimates, including radar miscalibration, attenuation, ground clutter and anomalous propagation, beam blockage, variability of the Z-R relation, range degradation, vertical variability of precipitation system, vertical air motion and precipitation drift.
Journal ArticleDOI

Radar precipitation measurement in a mountainous region

TL;DR: In this paper, a large-sample comparison between radar precipitation estimates and ground observations from a high-resolution gauge network reveals distinct improvements achieved by the modifications of the past 8 years.
Journal ArticleDOI

An Intercomparison Study of NEXRAD Precipitation Estimates

TL;DR: In this article, the authors examined biases in WSR-88D hourly precipitation accumulation estimates from analyses of more than 1 year of weather surveillance radar data and rain gage data from the southern plains.