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Collaborative Innovation Center of Yellow River Civilization, Henan University, Kaifeng 475001, China


Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475001, China


State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China


Collaborative Innovation Centre of Geospatial Technology, Wuhan 430079, China


Authors to whom correspondence should be addressed.

Academic Editors: Gabriel Senay, Richard Gloaguen and Prasad S. Thenkabail

Abstract As the successor of the Tropical Rainfall Measuring Mission TRMM, the Global Precipitation Measurement GPM mission significantly improves the spatial resolution of precipitation estimates from 0.25° to 0.1°. The present study analyzed the error structures of Integrated Multisatellite Retrievals for GPM IMERG monthly precipitation products over Mainland China from March 2014 to February 2015 using gauge measurements at multiple spatiotemporal scales. Moreover, IMERG products were also compared with TRMM 3B43 products. The results show that: 1 overall, IMERG can capture the spatial patterns of precipitation over China well. It performs a little better than TRMM 3B43 at seasonal and monthly scales; 2 the performance of IMERG varies greatly spatially and temporally. IMERG performs better at low latitudes than at middle latitudes, and shows worse performance in winter than at other times; 3 compared with TRMM 3B43, IMERG significantly improves the estimation accuracy of precipitation over the Xinjiang region and the Qinghai-Tibetan Plateau, especially over the former where IMERG increases Pearson correlation coefficient by 0.18 and decreases root-mean-square error by 54.47 mm for annual precipitation estimates. However, most IMERG products over these areas are unreliable; and 4 IMERG shows poor performance in winter as TRMM 3B43 even if GPM improved its ability to sense frozen precipitation. Most of them over North China are unreliable during this period. View Full-Text

Keywords: GPM; IMERG; TRMM 3B43; satellite-derived precipitation estimates GPM; IMERG; TRMM 3B43; satellite-derived precipitation estimates

Autor: Fengrui Chen 1,2,* and Xi Li 3,4,*

Fuente: http://mdpi.com/


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