Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region
In this study, we evaluated the performance of rain-retrieval algorithms for the Version 6 Global Precipitation Measurement Dual-frequency Precipitation Radar (GPM DPR) products, against disdrometer observations and improved their retrieval algorithms by using a revised shape parameter <i>&...
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doaj-ea2420445da84714921c8ad33e2eb7142020-11-24T20:57:57ZengMDPI AGWater2073-44412019-06-01116126010.3390/w11061260w11061260Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai RegionZuhang Wu0Yun Zhang1Lifeng Zhang2Xiaolong Hao3Hengchi Lei4Hepeng Zheng5Department of Atmosphere Science and Engineering, College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaDepartment of Atmosphere Science and Engineering, College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaDepartment of Atmosphere Science and Engineering, College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaBeijing Tracking and Communication Technology Research Institute, Beijing 100000, ChinaInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100000, ChinaDepartment of Atmosphere Science and Engineering, College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaIn this study, we evaluated the performance of rain-retrieval algorithms for the Version 6 Global Precipitation Measurement Dual-frequency Precipitation Radar (GPM DPR) products, against disdrometer observations and improved their retrieval algorithms by using a revised shape parameter <i>µ</i> derived from long-term Particle Size Velocity (Parsivel) disdrometer observations in Jianghuai region from 2014 to 2018. To obtain the optimized shape parameter, raindrop size distribution (DSD) characteristics of summer and winter seasons over Jianghuai region are analyzed, in terms of six rain rate classes and two rain categories (convective and stratiform). The results suggest that the GPM DPR may have better performance for winter rain than summer rain over Jianghuai region with biases of 40% (80%) in winter (summer). The retrieval errors of rain category-based <i>µ</i> (3−5%) were proved to be the smallest in comparison with rain rate-based <i>µ</i> (11−13%) or a constant <i>µ</i> (20−22%) in rain-retrieval algorithms, with a possible application to rainfall estimations over Jianghuai region. Empirical <i>D<sub>m</sub></i>−<i>Z<sub>e</sub></i> and <i>N<sub>w</sub></i>−<i>D<sub>m</sub></i> relationships were also derived preliminarily to improve the GPM rainfall estimates over Jianghuai region.https://www.mdpi.com/2073-4441/11/6/1260satellite precipitation productsground-based validationprecipitationcloud physics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zuhang Wu Yun Zhang Lifeng Zhang Xiaolong Hao Hengchi Lei Hepeng Zheng |
spellingShingle |
Zuhang Wu Yun Zhang Lifeng Zhang Xiaolong Hao Hengchi Lei Hepeng Zheng Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region Water satellite precipitation products ground-based validation precipitation cloud physics |
author_facet |
Zuhang Wu Yun Zhang Lifeng Zhang Xiaolong Hao Hengchi Lei Hepeng Zheng |
author_sort |
Zuhang Wu |
title |
Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region |
title_short |
Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region |
title_full |
Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region |
title_fullStr |
Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region |
title_full_unstemmed |
Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region |
title_sort |
validation of gpm precipitation products by comparison with ground-based parsivel disdrometers over jianghuai region |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2019-06-01 |
description |
In this study, we evaluated the performance of rain-retrieval algorithms for the Version 6 Global Precipitation Measurement Dual-frequency Precipitation Radar (GPM DPR) products, against disdrometer observations and improved their retrieval algorithms by using a revised shape parameter <i>µ</i> derived from long-term Particle Size Velocity (Parsivel) disdrometer observations in Jianghuai region from 2014 to 2018. To obtain the optimized shape parameter, raindrop size distribution (DSD) characteristics of summer and winter seasons over Jianghuai region are analyzed, in terms of six rain rate classes and two rain categories (convective and stratiform). The results suggest that the GPM DPR may have better performance for winter rain than summer rain over Jianghuai region with biases of 40% (80%) in winter (summer). The retrieval errors of rain category-based <i>µ</i> (3−5%) were proved to be the smallest in comparison with rain rate-based <i>µ</i> (11−13%) or a constant <i>µ</i> (20−22%) in rain-retrieval algorithms, with a possible application to rainfall estimations over Jianghuai region. Empirical <i>D<sub>m</sub></i>−<i>Z<sub>e</sub></i> and <i>N<sub>w</sub></i>−<i>D<sub>m</sub></i> relationships were also derived preliminarily to improve the GPM rainfall estimates over Jianghuai region. |
topic |
satellite precipitation products ground-based validation precipitation cloud physics |
url |
https://www.mdpi.com/2073-4441/11/6/1260 |
work_keys_str_mv |
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