TY - JOUR
T1 - How China’s Fengyun Satellite Precipitation Product Compares with Other Mainstream Satellite Precipitation Products
AU - Sun, Zhangli
AU - Long, Di
AU - Hong, Zhongkun
AU - Hamouda, Mohamed A.
AU - Mohamed, Mohamed M.
AU - Wang, Jianhua
N1 - Funding Information:
This study was jointly supported by the National Key Research and Development Program of China (Grant 2018YFE0196000), Second Tibetan Plateau Scientific Expedition and Research (STEP) program (Grant 2019QZKK0105), National Natural Science Foundation of China (Grant 52079065), and the National Water and Energy Center, United Arab Emirates University, through the Asian University Alliance (AUA) program (Grants 31R281-AUA-NWEC-4-2020 and 12R023-AUA-NWEC-4-2020). Reviewers and editors’ comments are highly appreciated. The authors thank the researchers and their teams for providing all the datasets used in this study.
Publisher Copyright:
© 2022 American Meteorological Society.
PY - 2022/5
Y1 - 2022/5
N2 - Satellite-based and reanalysis precipitation estimates are an alternative and important supplement to rain gauge data. However, performance of China’s Fengyun (FY) satellite precipitation product and how it compares with other mainstream satellite and reanalysis precipitation products over China remain largely unknown. Here five satellite-based precipitation products (i.e., FY-2 precipitation product, IMERG, GSMaP, CMORPH, and PERSIANN-CDR) and one reanalysis product (i.e., ERA5) are intercompared and evaluated based on in situ daily precipitation measurements over mainland China during 2007–17. Results show that the performance of these precipitation products varies with regions and seasons, with better statistical metrics over wet regions and during warm seasons. The infrared–microwave combined precipitation [i.e., IMERG, GSMaP, and CMORPH, with median KGE (Kling–Gupta efficiency) values of 0.53, 0.52, 0.59, respectively] reveals better performance than the infrared-based only product (i.e., PERSIANN-CDR, with a median KGE of 0.31) and the reanalysis product (i.e., ERA5, with a median KGE of 0.43). IMERG performs well in retrieving precipitation intensity and occurrence over China, while GSMaP performs well in the middle to low reaches of the Yangtze River basin but poorly over sparsely gauged regions, e.g., Xinjiang in northwest China and the Tibetan Plateau. CMORPH performs well over most regions and has a greater ability to detect precipitation events than GSMaP. The FY-2 precipitation product can capture the overall spatial distribution of precipitation in terms of both precipitation intensity and occurrence (median KGE and CSI of 0.54 and 0.55), and shows better performance than other satellite precipitation products in winter and over sparsely gauged regions. Annual precipitation from different products is generally consistent, though underestimation exists in the FY-2 precipitation product during 2015–17.
AB - Satellite-based and reanalysis precipitation estimates are an alternative and important supplement to rain gauge data. However, performance of China’s Fengyun (FY) satellite precipitation product and how it compares with other mainstream satellite and reanalysis precipitation products over China remain largely unknown. Here five satellite-based precipitation products (i.e., FY-2 precipitation product, IMERG, GSMaP, CMORPH, and PERSIANN-CDR) and one reanalysis product (i.e., ERA5) are intercompared and evaluated based on in situ daily precipitation measurements over mainland China during 2007–17. Results show that the performance of these precipitation products varies with regions and seasons, with better statistical metrics over wet regions and during warm seasons. The infrared–microwave combined precipitation [i.e., IMERG, GSMaP, and CMORPH, with median KGE (Kling–Gupta efficiency) values of 0.53, 0.52, 0.59, respectively] reveals better performance than the infrared-based only product (i.e., PERSIANN-CDR, with a median KGE of 0.31) and the reanalysis product (i.e., ERA5, with a median KGE of 0.43). IMERG performs well in retrieving precipitation intensity and occurrence over China, while GSMaP performs well in the middle to low reaches of the Yangtze River basin but poorly over sparsely gauged regions, e.g., Xinjiang in northwest China and the Tibetan Plateau. CMORPH performs well over most regions and has a greater ability to detect precipitation events than GSMaP. The FY-2 precipitation product can capture the overall spatial distribution of precipitation in terms of both precipitation intensity and occurrence (median KGE and CSI of 0.54 and 0.55), and shows better performance than other satellite precipitation products in winter and over sparsely gauged regions. Annual precipitation from different products is generally consistent, though underestimation exists in the FY-2 precipitation product during 2015–17.
KW - Hydrometeorology
KW - Precipitation
KW - Satellite observations
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U2 - 10.1175/JHM-D-21-0179.1
DO - 10.1175/JHM-D-21-0179.1
M3 - Article
AN - SCOPUS:85133030346
SN - 1525-755X
VL - 23
SP - 785
EP - 806
JO - Journal of Hydrometeorology
JF - Journal of Hydrometeorology
IS - 5
ER -