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Open AccessArticle

Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region

1
Department of Atmosphere Science and Engineering, College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
2
Beijing Tracking and Communication Technology Research Institute, Beijing 100000, China
3
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100000, China
*
Authors to whom correspondence should be addressed.
Water 2019, 11(6), 1260; https://doi.org/10.3390/w11061260
Received: 5 May 2019 / Revised: 6 June 2019 / Accepted: 13 June 2019 / Published: 16 June 2019
(This article belongs to the Special Issue Satellite Application on Support to Water Monitoring and Management)
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 µ 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 µ (3–5%) were proved to be the smallest in comparison with rain rate-based µ (11–13%) or a constant µ (20–22%) in rain-retrieval algorithms, with a possible application to rainfall estimations over Jianghuai region. Empirical DmZe and NwDm relationships were also derived preliminarily to improve the GPM rainfall estimates over Jianghuai region. View Full-Text
Keywords: satellite precipitation products; ground-based validation; precipitation; cloud physics satellite precipitation products; ground-based validation; precipitation; cloud physics
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  • Externally hosted supplementary file 1
    Doi: 10.5281/zenodo.2549600
    Link: http://doi.org/10.5281/zenodo.2549600
    Description: This file provides the disdrometer data and GPM data used in our research, along with some codes used for plots.
MDPI and ACS Style

Wu, Z.; Zhang, Y.; Zhang, L.; Hao, X.; Lei, H.; Zheng, H. Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region. Water 2019, 11, 1260.

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