曾巧林等： Inter-Comparison and Evaluation of Remote Sensing Precipitation Products over China from 2005 to 2013

Inter-Comparison and Evaluation of Remote Sensing Precipitation Products over China from 2005 to 2013

作者:Zeng, QL (Zeng, Qiaolin)[ 1,2 ] ; Wang, YQ (Wang, Yongqian)[ 1,2,3,4 ] ; Chen, LF (Chen, Liangfu)[ 1,2,5 ] ; Wang, ZF (Wang, Zifeng)[ 1,2 ] ; Zhu, H (Zhu, Hao)[ 1,2,3 ] ; Li, B (Li, Bin)[ 6 ]

REMOTE SENSING

卷: 10  期: 2

文献号: 168

DOI: 10.3390/rs10020168

出版年: FEB 2018

文献类型:Article

摘要

Precipitation is a key aspect of the climate system. In this paper, the dependability of five satellite precipitation products (TRMM [Tropical Rainfall Measuring Mission] 3BV42, PERSIANN [Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks] CDR, GSMaP [Global Satellite Mapping of Precipitation] RENALYSIS, CMORPH [Climate Prediction Center's morphing technique] BLD and CMORPH_RAW) were compared with in situ measurements over China for the period of 2005 to 2013. To completely evaluate these precipitation products, the annual, seasonal and monthly precipitation averages were calculated. Overall, the Huaihe River and Qinlin mountains are shown to have heavy precipitation to the southeast and lighter precipitation to the northwest. The comparison results indicate that Gauge correction (CMORPH_BLD) improves the quality of the original satellite products (CMORPH_RAW), resulting in the higher correlation coefficient (CC), the low relative bias (BIAS) and root mean square error (RMSE). Over China, the GSMaP_RENALYSIS outperforms other products and shows the highest CC (0.91) and lowest RMSE (0.85 mm/day) and all products except for PERSIANN_CDR exhibit underestimation. GSMaP_RENALYSIS gives the highest of probability of detection (81%), critical success index (63%) and lowest false alarm ratio (36%) while TRMM3BV42 gives the highest of frequency bias index (1.00). Over Tibetan Plateau, CMORPH_RAW demonstrates the poorest performance with the biggest BIAS (4.2 mm/month) and lowest CC (0.22) in December 2013. GSMaP_RENALYSIS displays quite consistent with in situ measurements in summer. However, GSMaP_RENALYSIS and CMORPH_RAW underestimate precipitation over South China. CMORPH_BLD and TRMM3BV42 show consistent with high CC (>0.8) but relatively large RMSE in summer.

通讯作者地址: Chen, LF (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

通讯作者地址: Chen, LF (通讯作者)

Beijing Normal Univ, Beijing 100101, Peoples R China.

通讯作者地址: Chen, LF (通讯作者)

Univ Chinese Acad Sci, Beijing 100049, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[ 2 ] Beijing Normal Univ, Beijing 100101, Peoples R China

[ 3 ] Chengdu Univ Informat Technol, Coll Environm & Resource Sci, Chengdu 610225, Sichuan, Peoples R China

[ 4 ] Chongqing Inst Meteorol Sci, Environm Meteorol & Applicat Technol Lab 3S, Chongqing 401147, Peoples R China

[ 5 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[ 6 ] Beijing Huayun Shinetek Sci & Technol Co Ltd, Beijing 100081, Peoples R China