Improvement of radar quantitative precipitation estimation based on real-time adjustments to <Emphasis Type="Italic">Z-R</Emphasis> relationships and inverse distance weighting correction schemes |
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Authors: | WANG Gaili LIU Liping DING Yuanyuan |
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Institution: | State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Science, Beijing 100081;State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Science, Beijing 100081;State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Science, Beijing 100081 |
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Abstract: | The errors in radar quantitative precipitation estimations consist not only
of systematic biases caused by random noises but also spatially nonuniform
biases in radar rainfall at individual rain-gauge stations. In this study, a
real-time adjustment to the radar reflectivity--rainfall rates (Z--R)
relationship scheme and the gauge-corrected, radar-based, estimation scheme
with inverse distance weighting interpolation was developed. Based on the
characteristics of the two schemes, the two-step correction technique of
radar quantitative precipitation estimation is proposed. To minimize the
errors between radar quantitative precipitation estimations and rain gauge
observations, a real-time adjustment to the Z--R relationship
scheme is used to remove systematic bias on the time-domain. The
gauge-corrected, radar-based, estimation scheme is then used to eliminate
non-uniform errors in space. Based on radar data and rain gauge observations
near the Huaihe River, the two-step correction technique was evaluated using
two heavy-precipitation events. The results show that the proposed scheme
improved not only in the underestimation of rainfall but also reduced the
root-mean-square error and the mean relative error of radar--rain gauge
pairs. |
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Keywords: | precipitation estimation adjusted Z--R relationship gauge correction |
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