Hydrologic Evaluation of TRMM and GPM IMERG Satellite-Based Precipitation in a Humid Basin of China

Tropical Rainfall Measurement Mission (TRMM) is one of the most popular global high resolution satellite-based precipitation products with a goal of measuring precipitation over the oceans and tropics. However, in recent years, the TRMM mission has come to an end. Its successor, Global Precipitation Measurement (GPM) mission was launched to measure the earth's precipitation structure, with an aim to improve upon the TRMM project. Both of the precipitation products have their own strengths and weaknesses in resolution, accuracy, and availability. The aim of this study is to evaluate the hydrologic utilization of the TRMM and GPM products in a humid basin of China. The main findings of this study can be summarized as follows: (1) 3B42V7 generally outperforms 3B42V6 in terms of hydrologic performance. Meanwhile, 3B42RTV7 significantly outperforms 3B42RTV6, and showed close performance with the bias-adjusted TRMM Multi-satellite Precipitation Analysis (TMPA) products. (2) The GPM showed better agreement with gauge observation than the TMPA products with lower RB and higher correlation coefficient (CC) values at different time scales. (3) The VIC hydrological model generally outperformed the XAJ hydrological model with lower RB, higher Nash-Sutcliffe Coefficient of Efficiency (NSCE) and CC values; though the 3B42RTV6 and 3B42RTV7 showed higher CC values in simulating the streamflow hydrograph by using the VIC and XAJ hydrological models. It can be found that the conceptual hydrological model was enough for the hydrologic evaluation of TRMM and GPM IMERG satellite-based precipitation in a humid basin of China. This study provides a reference for the comparison of multiple models on watershed scale. (Less)

[1]  Yang Hong,et al.  Intercomparison of the Version-6 and Version-7 TMPA precipitation products over high and low latitudes basins with independent gauge networks: Is the newer version better in both real-time and post-real-time analysis for water resources and hydrologic extremes? , 2014 .

[2]  Honglei Zhu,et al.  Evaluation and hydrological application of satellite-based precipitation datasets in driving hydrological models over the Huifa river basin in Northeast China , 2018, Atmospheric Research.

[3]  S. Nair,et al.  Evaluation of Multi-Satellite TRMM Derived Rainfall Estimates over a Western State of India , 2009 .

[4]  Chengguang Lai,et al.  Evaluation of the GPM IMERG satellite-based precipitation products and the hydrological utility , 2017 .

[5]  Kenneth J. Tobin,et al.  Using SWAT to Model Streamflow in Two River Basins With Ground and Satellite Precipitation Data 1 , 2009 .

[6]  L. Xu Two-Layer Variable Infiltration Capacity Land Surface Representation for General Circulation Models , 1994 .

[7]  Dawei Han,et al.  Performance Evaluation of the TRMM Precipitation Estimation Using Ground-Based Radars from the GPM Validation Network , 2012 .

[8]  Y. Hong,et al.  Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales , 2015 .

[9]  Jonathan J. Gourley,et al.  A method for identifying sources of model uncertainty in rainfall-runoff simulations , 2004 .

[10]  J. Janowiak,et al.  The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present) , 2003 .

[11]  Dennis McLaughlin,et al.  An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering , 2002 .

[12]  J. Gourley,et al.  A Method for Evaluating the Accuracy of Quantitative Precipitation Estimates from a Hydrologic Modeling Perspective , 2005 .

[13]  Yang Hong,et al.  Statistical and Hydrological Comparisons between TRMM and GPM Level-3 Products over a Midlatitude Basin: Is Day-1 IMERG a Good Successor for TMPA 3B42V7? , 2016 .

[14]  E. Anagnostou,et al.  Error Analysis of Satellite Precipitation Products in Mountainous Basins , 2014 .

[15]  Hatim O. Sharif,et al.  Evaluation of the Global Precipitation Measurement (GPM) Satellite Rainfall Products over the Lower Colorado River Basin, Texas , 2018 .

[16]  D. Gui,et al.  Error adjustment of TMPA satellite precipitation estimates and assessment of their hydrological utility in the middle and upper Yangtze River Basin, China , 2019, Atmospheric Research.

[17]  Tomoo Ushio,et al.  Evaluation of GSMaP Precipitation Estimates over the Contiguous United States , 2010 .

[18]  Yang Hong,et al.  Statistical and hydrological evaluation of TRMM-based Multi-satellite Precipitation Analysis over the Wangchu Basin of Bhutan: Are the latest satellite precipitation products 3B42V7 ready for use in ungauged basins? , 2013 .

[19]  Yang Hong,et al.  Comprehensive evaluation of multi-satellite precipitation products with a dense rain gauge network and optimally merging their simulated hydrological flows using the Bayesian model averaging method , 2012 .

[20]  Daniel A. Vila,et al.  Evaluation of TRMM/GPM Blended Daily Products over Brazil , 2018, Remote. Sens..

[21]  Jie Song,et al.  Flood frequency in China's Poyang Lake region: trends and teleconnections , 2006 .

[22]  J. Susskind,et al.  Global Precipitation at One-Degree Daily Resolution from Multisatellite Observations , 2001 .

[23]  Zhao Ren-jun,et al.  The Xinanjiang model applied in China , 1992 .

[24]  J. Janowiak,et al.  COMPARISON OF NEAR-REAL-TIME PRECIPITATION ESTIMATES FROM SATELLITE OBSERVATIONS AND NUMERICAL MODELS , 2007 .

[25]  Kuolin Hsu,et al.  Hydrologic evaluation of satellite precipitation products over a mid-size basin , 2011 .

[26]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[27]  Zhong Liu,et al.  Comparison of versions 6 and 7 3-hourly TRMM multi-satellite precipitation analysis (TMPA) research products , 2015 .

[28]  Xi Chen,et al.  Evaluating the TRMM Multisatellite Precipitation Analysis for Extreme Precipitation and Streamflow in Ganjiang River Basin, China , 2017 .

[29]  Amir AghaKouchak,et al.  From TRMM to GPM: How well can heavy rainfall be detected from space? , 2016 .

[30]  Yang Hong,et al.  Evaluation of the successive V6 and V7 TRMM multisatellite precipitation analysis over the Continental United States , 2013 .

[31]  Hatim O. Sharif,et al.  How Well Can Global Precipitation Measurement (GPM) Capture Hurricanes? Case Study: Hurricane Harvey , 2018, Remote. Sens..

[32]  Shenglian Guo,et al.  Spatial and temporal analysis of drought using entropy-based standardized precipitation index: a case study in Poyang Lake basin, China , 2015, Theoretical and Applied Climatology.

[33]  Soroosh Sorooshian,et al.  Multi-objective global optimization for hydrologic models , 1998 .

[34]  Yang Hong,et al.  Hydrologic evaluation of Multisatellite Precipitation Analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China , 2010 .

[35]  Matthew F. McCabe,et al.  Evaluation of the TMPA-3B42 precipitation product using a high-density rain gauge network over complex terrain in northeastern Iberia , 2015 .

[36]  Cheng Chen,et al.  Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China , 2018, Remote. Sens..

[37]  A. A. Makarov,et al.  Some Properties of Two-Sample Kolmogorov–Smirnov Test in the Case of Contamination of One of the Samples , 2017 .

[38]  Xin Li,et al.  Flash droughts in a typical humid and subtropical basin: A case study in the Gan River Basin, China , 2017 .

[39]  Y. Hong,et al.  Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China , 2013 .

[40]  Yang Hong,et al.  Hydrologic Evaluation of the TRMM Multisatellite Precipitation Analysis Over Ganjiang Basin in Humid Southeastern China , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[41]  E. N. Rajagopal,et al.  Comparison of TMPA-3B42 Versions 6 and 7 Precipitation Products with Gauge-Based Data over India for the Southwest Monsoon Period , 2015 .