A preliminary assessment of GPM-based multi-satellite precipitation estimates over a monsoon dominated region

被引:211
作者
Prakash, Satya [1 ,2 ]
Mitra, Ashis K. [1 ]
AghaKouchak, Amir [3 ]
Liu, Zhong [4 ]
Norouzi, Hamidreza [2 ]
Pai, D. S. [5 ]
机构
[1] Earth Syst Sci Org, NCMRWF, Minist Earth Sci, Noida, UP, India
[2] CUNY, New York City Coll Technol, Brooklyn, NY 11210 USA
[3] Univ Calif Irvine, CHRS, Dept Civil & Environm Engn, Irvine, CA USA
[4] George Mason Univ, CSISS, Fairfax, VA 22030 USA
[5] Indian Meteorol Dept, Pune, Maharashtra, India
关键词
Global Precipitation Measurement Mission; Multi-satellite precipitation estimates; Southwest monsoon; Surface rain gauge; Error metrics; RAIN-GAUGE DATA; NEAR-REAL-TIME; INDIAN MONSOON; ANALYSIS TMPA; SATELLITE-OBSERVATIONS; PASSIVE MICROWAVE; TRMM; PRODUCTS; ENTROPY; INFORMATION;
D O I
10.1016/j.jhydrol.2016.01.029
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Following the launch of the Global Precipitation Measurement (GPM) Core Observatory, two advanced high resolution multi-satellite precipitation products namely, Integrated Multi-satellitE Retrievals for GPM (IMERG) and Global Satellite Mapping of Precipitation (GSMaP) version 6 are released. A critical evaluation of these newly released precipitation data sets is very important for both the end users and data developers. This study provides a comprehensive assessment of IMERG research product and GSMaP estimates over India at a daily scale for the southwest monsoon season (June to September 2014). The GPM-based precipitation products are inter-compared with widely used TRMM Multi satellite Precipitation Analysis (TMPA), and gauge-based observations over India. Results show that the IMERG estimates represent the mean monsoon rainfall and its variability more realistically than the gauge-adjusted TMPA and GSMaP data. However, GSMaP has relatively smaller root-mean-square error than IMERG and TMPA, especially over the low mean rainfall regimes and along the west coast of India. An entropy-based approach is employed to evaluate the distributions of the selected precipitation products. The results indicate that the distribution of precipitation in IMERG and GSMaP has been improved markedly, especially for low precipitation rates. IMERG shows a clear improvement in missed and false precipitation bias over India. However, all the three satellite-based rainfall estimates show exceptionally smaller correlation coefficient, larger RMSE, larger negative total bias and hit bias over the northeast India where precipitation is dominated by orographic effects. Similarly, the three satellite-based estimates show larger false precipitation over the southeast peninsular India which is a rain-shadow region. The categorical verification confirms that these satellite-based rainfall estimates have difficulties in detection of rain over the southeast peninsula and northeast India. These preliminary results need to be confirmed in other monsoon seasons in future studies when the fully GPM-based IMERG retrospectively processed data prior to 2014 are available. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:865 / 876
页数:12
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