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Remote Sens. 2016, 8(6), 472; doi:10.3390/rs8060472

Evaluation of IMERG and TRMM 3B43 Monthly Precipitation Products over Mainland China

1,2,* and 3,4,*
1
Collaborative Innovation Center of Yellow River Civilization, Henan University, Kaifeng 475001, China
2
Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475001, China
3
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
4
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
Received: 27 February 2016 / Revised: 23 May 2016 / Accepted: 27 May 2016 / Published: 2 June 2016
View Full-Text   |   Download PDF [13825 KB, uploaded 3 June 2016]   |  

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
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chen, F.; Li, X. Evaluation of IMERG and TRMM 3B43 Monthly Precipitation Products over Mainland China. Remote Sens. 2016, 8, 472.

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