Improving Polarimetric C-Band Radar Rainfall Estimation with Two-dimensional Video Disdrometer Observations in Eastern China

Improving Polarimetric C-Band Radar Rainfall Estimation with Two-dimensional Video Disdrometer... AbstractIn this study, the capability of using a C-band polarimetric Doppler radar and a two-dimensional video disdrometer (2DVD) to estimate monsoon-influenced summer rainfall during the Observation, Prediction and Analysis of Severe Convection of China (OPACC) field campaign in 2014 and 2015 in Eastern China is investigated. Three different rainfall estimators,R(Zh), R (Zh, Zdr) and R (KDP), are derived from two-year 2DVD observations of summer precipitation systems. The radar estimated rainfall is compared to gauge observations from 8 rainfall episodes. Results show that the two polarimetric estimators, R (Zh, Zdr) and R (KDP), perform better than the traditional Zh-R relation R(Zh). The KDP-based estimator R(KDP) produces the best rainfall accumulations.The radar rainfall estimators perform differently across the three organized convective systems (Meiyu rainband, typhoon rainband, and squall line). R(Zh) overestimates rainfall in the Meiyu rainband and squall line, R (Zh, Zdr) mitigates the overestimation in the Meiyu rainband but has a large bias in the squall line. QPE from R(KDP) is the most accurate among the three estimators, but possesses a relatively large bias for the squall line than in the Meiyu case. The high variability of drop size distribution (DSD) related to the precipitation microphysics in different types of rain is largely responsible for the case-dependent QPE performance using any single radar rainfall estimator. The squall line has a distinct ice-phase process with a large mean size of raindrops, while the Meiyu rainband and typhoon rainband are composed of smaller raindrops. Based on the statistical QPE error in the ZH-ZDR space, a new composite rainfall estimator by combining R(Zh), R(Zh, Zdr) and R(KDP) is constructed and proven to outperform any single rainfall estimator. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Hydrometeorology American Meteorological Society

Improving Polarimetric C-Band Radar Rainfall Estimation with Two-dimensional Video Disdrometer Observations in Eastern China

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1525-7541
eISSN
1525-7541
D.O.I.
10.1175/JHM-D-16-0215.1
Publisher site
See Article on Publisher Site

Abstract

AbstractIn this study, the capability of using a C-band polarimetric Doppler radar and a two-dimensional video disdrometer (2DVD) to estimate monsoon-influenced summer rainfall during the Observation, Prediction and Analysis of Severe Convection of China (OPACC) field campaign in 2014 and 2015 in Eastern China is investigated. Three different rainfall estimators,R(Zh), R (Zh, Zdr) and R (KDP), are derived from two-year 2DVD observations of summer precipitation systems. The radar estimated rainfall is compared to gauge observations from 8 rainfall episodes. Results show that the two polarimetric estimators, R (Zh, Zdr) and R (KDP), perform better than the traditional Zh-R relation R(Zh). The KDP-based estimator R(KDP) produces the best rainfall accumulations.The radar rainfall estimators perform differently across the three organized convective systems (Meiyu rainband, typhoon rainband, and squall line). R(Zh) overestimates rainfall in the Meiyu rainband and squall line, R (Zh, Zdr) mitigates the overestimation in the Meiyu rainband but has a large bias in the squall line. QPE from R(KDP) is the most accurate among the three estimators, but possesses a relatively large bias for the squall line than in the Meiyu case. The high variability of drop size distribution (DSD) related to the precipitation microphysics in different types of rain is largely responsible for the case-dependent QPE performance using any single radar rainfall estimator. The squall line has a distinct ice-phase process with a large mean size of raindrops, while the Meiyu rainband and typhoon rainband are composed of smaller raindrops. Based on the statistical QPE error in the ZH-ZDR space, a new composite rainfall estimator by combining R(Zh), R(Zh, Zdr) and R(KDP) is constructed and proven to outperform any single rainfall estimator.

Journal

Journal of HydrometeorologyAmerican Meteorological Society

Published: Feb 28, 2017

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