Evaluation of Three Satellite-Based Precipitation Products Over the Lower Mekong River Basin Using Rain Gauge Observations and Hydrological Modeling

Satellite-based precipitation products (SPPs) have great potential in water-related applications, especially in ungauged/poor-gauged basins. Three SPPs, namely integrated multisatellite retrieval for the global precipitation measurement (GPM) mission, tropical rainfall measuring mission multisatellite precipitation analysis version 7, and precipitation estimation from remotely sensed information using artificial neural networks—climate data record, were evaluated over the lower Mekong river basin (LMB) from January 4, 2014 to February 28, 2017 at daily and monthly scales. Daily rainfall data collected from 119 rain gauges in the LMB were used to conduct a pixel-point comparison. Daily discharge observations at six stream gauges, together with a well-calibrated distributed hydrological model, were used to evaluate the hydrological utilities of the three SPP s. The results convey that: integrated multisatellite retrieval for the GPM mission shows more stable and precise estimation of precipitation in pixel-point comparisons (for both all rainfall events and only heavy rain events) than the other two SPP s; precipitation estimation from remotely sensed information using artificial neural networks—climate data record overestimates the rainfall amounts in LMB seriously by 17%; and integrated multisatellite retrieval for the GPM mission performs better than other two SPP s when forcing hydrological model to simulate discharges with more stable and accurate discharge results (daily Nash–Sutcliffe efficiency coefficient larger than 0.73 and monthly Nash–Sutcliffe efficiency coefficient larger than 0.84).

[1]  S. Sorooshian,et al.  A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons , 2018 .

[2]  D. S. Pai,et al.  Status of High-Resolution Multisatellite Precipitation Products Across India , 2018 .

[3]  Fan Yang,et al.  Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China , 2017 .

[4]  Wei Wang,et al.  Dam Construction in Lancang‐Mekong River Basin Could Mitigate Future Flood Risk From Warming‐Induced Intensified Rainfall , 2017 .

[5]  Jiancheng Shi,et al.  Evaluation and Comparison of Daily Rainfall From Latest GPM and TRMM Products Over the Mekong River Basin , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[6]  Kuolin Hsu,et al.  Bias adjustment of satellite‐based precipitation estimation using gauge observations: A case study in Chile , 2016 .

[7]  Viviana Maggioni,et al.  A Review of Merged High-Resolution Satellite Precipitation Product Accuracy during the Tropical Rainfall Measuring Mission (TRMM) Era , 2016 .

[8]  Zhiguo Pang,et al.  Modelling Hydrologic Processes in the Mekong River Basin Using a Distributed Model Driven by Satellite Precipitation and Rain Gauge Observations , 2016, PloS one.

[9]  Zhong Liu,et al.  Comparison of Integrated Multisatellite Retrievals for GPM (IMERG) and TRMM Multisatellite Precipitation Analysis (TMPA) Monthly Precipitation Products: Initial Results , 2016 .

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

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

[12]  Wei Wang,et al.  Evaluation and hydrological applications of TRMM rainfall products over the Mekong River basin with a distributied model , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[13]  S. Sorooshian,et al.  PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies , 2015 .

[14]  Yang Hong,et al.  Multiscale Hydrologic Applications of the Latest Satellite Precipitation Products in the Yangtze River Basin using a Distributed Hydrologic Model , 2015 .

[15]  David T. Bolvin,et al.  Real-Time TRMM Multi-Satellite Precipitation Analysis Data Set Documentation , 2015 .

[16]  G. Huffman,et al.  TRMM and Other Data Precipitation Data Set Documentation , 2015 .

[17]  G. Huffman,et al.  Integrated Multi-satellitE Retrievals for GPM (IMERG) Technical Documentation , 2015 .

[18]  A. Hou,et al.  The Global Precipitation Measurement Mission , 2014 .

[19]  Y. Hong,et al.  Characterizing Spatiotemporal Variations of Hourly Rainfall by Gauge and Radar in the Mountainous Three Gorges Region , 2014 .

[20]  Dawen Yang,et al.  Assessing the impacts of climate variability and human activities on annual runoff in the Luan River basin, China , 2013 .

[21]  Y. Hong,et al.  Multi-scale evaluation of high-resolution multi-sensor blended global precipitation products over the Yangtze River , 2013 .

[22]  Dawen Yang,et al.  Detecting the effect of land-use change on streamflow, sediment and nutrient losses by distributed hydrological simulation , 2011 .

[23]  Chris Kidd,et al.  Global Precipitation Measurement , 2008 .

[24]  E. Anagnostou,et al.  Precipitation: Measurement, remote sensing, climatology and modeling , 2009 .

[25]  V. Levizzani,et al.  Status of satellite precipitation retrievals , 2009 .

[26]  Dawen Yang,et al.  Hydrological trend analysis in the Yellow River basin using a distributed hydrological model , 2009 .

[27]  W. Wang,et al.  Pinpointing the sources and measuring the lengths of the principal rivers of the world , 2009, Int. J. Digit. Earth.

[28]  C. Daly,et al.  Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States , 2008 .

[29]  Zhu Chuan-bao Application of a Distributed Hydrological Model for the Yarlung Zangbo River and Analysis of the River Runoff , 2008 .

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

[31]  A Distributed Hydrological Model-GBHNM and Its Application in Middle-Scale Catchment , 2006 .

[32]  Toshio Koike,et al.  Application of a distributed hydrological model and weather radar observations for flood management in the upper Tone River of Japan , 2004 .

[33]  Katumi Musiake,et al.  A hillslope-based hydrological model using catchment area and width functions , 2002 .

[34]  Taikan Oki,et al.  A geomorphology-based hydrological model and its applications. , 2002 .

[35]  S. Sorooshian,et al.  Evaluation of PERSIANN system satellite-based estimates of tropical rainfall , 2000 .

[36]  S. Sorooshian,et al.  Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks , 1997 .

[37]  Robert F. Adler,et al.  A Proposed Tropical Rainfall Measuring Mission (TRMM) Satellite , 1988 .

[38]  Floyd A. Huff,et al.  Sampling Errors in Measurement of Mean Precipitation , 1970 .