2020
DOI: 10.1175/jamc-d-19-0164.1
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Geospatial QPE Accuracy Dependence on Weather Radar Network Configurations

Abstract: The relatively low density of weather radar networks can lead to low-altitude coverage gaps. As existing networks are evaluated for gap-fillers and new networks are designed, the benefits of low-altitude coverage must be assessed quantitatively. This study takes a regression approach to modeling quantitative precipitation estimation (QPE) differences based on network density, antenna aperture, and polarimetric bias. Thousands of cases from the warm-season months of May–August 2015–2017 are processed using both… Show more

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Cited by 6 publications
(2 citation statements)
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“…In the study of rainfall estimation using Doppler weather radar combined with rain gauge, it is usually necessary to select a set of values of A and b based on experience. Normally, the Z-I relationship is set to [11]: Z = 200I 1.6 (2)…”
Section: Radar Rainfall Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…In the study of rainfall estimation using Doppler weather radar combined with rain gauge, it is usually necessary to select a set of values of A and b based on experience. Normally, the Z-I relationship is set to [11]: Z = 200I 1.6 (2)…”
Section: Radar Rainfall Estimationmentioning
confidence: 99%
“…In formulas (11) and ( 12), a 1 , a 2 , a 3 , a 4 are the parameters of each time when participating in rainfall estimation, and η (k) represents the total number of rain gauges with precipitation measured by the automatic weather station in the k-th hour.…”
Section: Optimizing Parameter Valuesmentioning
confidence: 99%