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?

AbstractThe goal of this study is to quantitatively intercompare the standard products of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) and its successor, the Global Precipitation Measurement (GPM) mission Integrated Multisatellite Retrievals for GPM (IMERG), with a dense gauge network over the midlatitude Ganjiang River basin in southeast China. In general, direct comparisons of the TMPA 3B42V7, 3B42RT, and GPM Day-1 IMERG estimates with gauge observations over an extended period of the rainy season (from May through September 2014) at 0.25° and daily resolutions show that all three products demonstrate similarly acceptable (~0.63) and high (0.87) correlation at grid and basin scales, respectively, although 3B42RT shows much higher overestimation. Both of the post-real-time corrections effectively reduce the bias of Day-1 IMERG and 3B42V7 to single digits of underestimation from 20+% overestimation of 3B42RT. The Taylor diagram shows that Day-1 IMERG and 3B42...

[1]  G. Senay,et al.  Climate science and famine early warning , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[2]  Yang Hong,et al.  Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data , 2014 .

[3]  Dawen Yang,et al.  Multi-scale evaluation of six high-resolution satellite monthly rainfall estimates over a humid region in China with dense rain gauges , 2014 .

[4]  Yang Hong,et al.  Refining a Distributed Linear Reservoir Routing Method to Improve Performance of the CREST Model , 2017 .

[5]  Emmanouil N. Anagnostou,et al.  Improving Radar-Based Estimation of Rainfall over Complex Terrain , 2002 .

[6]  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 .

[7]  Christian Onof,et al.  A Comparative Performance Analysis of TRMM 3B42 (TMPA) Versions 6 and 7 for Hydrological Applications over Andean–Amazon River Basins , 2014 .

[8]  Y. Hong,et al.  Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System , 2004 .

[9]  J. Janowiak,et al.  CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution , 2004 .

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

[11]  Emad Habib,et al.  Climatology-Focused Evaluation of CMORPH and TMPA Satellite Rainfall Products over the Nile Basin , 2012 .

[12]  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 .

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

[14]  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 .

[15]  Sadiq I. Khan,et al.  The coupled routing and excess storage (CREST) distributed hydrological model , 2011 .

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

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

[18]  Yu Zhang,et al.  Hydrometeorological Analysis and Remote Sensing of Extremes: Was the July 2012 Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems? , 2015 .

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

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

[21]  Bodo Ahrens,et al.  Distance in spatial interpolation of daily rain gauge data , 2005 .

[22]  Christian D. Kummerow,et al.  Global Precipitation Measurement , 2008 .

[23]  Yang Hong,et al.  Hydrology and Earth System Sciences Hydroclimatology of Lake Victoria Region Using Hydrologic Model and Satellite Remote Sensing Data , 2022 .

[24]  Bart Nijssen,et al.  Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites , 2004 .

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

[26]  Paulin Coulibaly,et al.  Developments in hydrometric network design: A review , 2009 .

[27]  Yan Shen,et al.  Validation and comparison of a new gauge‐based precipitation analysis over mainland China , 2016 .

[28]  Yang Hong,et al.  Assessment of evolving TRMM-based multisatellite real-time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin , 2012 .

[29]  Mekonnen Gebremichael,et al.  Evaluation of High-Resolution Satellite Rainfall Products through Streamflow Simulation in a Hydrological Modeling of a Small Mountainous Watershed in Ethiopia , 2012 .

[30]  Faisal Hossain,et al.  A first approach to global runoff simulation using satellite rainfall estimation , 2007 .

[31]  Faisal Hossain,et al.  Satellite Precipitation Data–Driven Hydrological Modeling for Water Resources Management in the Ganges, Brahmaputra, and Meghna Basins , 2014 .

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

[33]  Y. Hong,et al.  Global View Of Real-Time Trmm Multisatellite Precipitation Analysis: Implications For Its Successor Global Precipitation Measurement Mission , 2015 .

[34]  Walter Collischonn,et al.  Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates , 2008 .

[35]  Misako Kachi,et al.  Global Precipitation Map Using Satellite-Borne Microwave Radiometers by the GSMaP Project: Production and Validation , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[36]  G. Villarini,et al.  Empirically-based modeling of spatial sampling uncertainties associated with rainfall measurements by rain gauges , 2008 .

[37]  F. J. Turk,et al.  Toward improved characterization of remotely sensed precipitation regimes with MODIS/AMSR-E blended data techniques , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[38]  K. Taylor.  Summarizing multiple aspects of model performance in a single diagram , 2001 .

[39]  Faisal Hossain,et al.  Estimation of Satellite Rainfall Error Variance Using Readily Available Geophysical Features , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Y. Hong,et al.  Evaluation of Global Flood Detection Using Satellite-Based Rainfall and a Hydrologic Model , 2012 .

[41]  Yudong Tian,et al.  A global map of uncertainties in satellite‐based precipitation measurements , 2010 .

[42]  Zhenchun Hao,et al.  Suitability of TRMM satellite rainfall in driving a distributed hydrological model in the source region of Yellow River , 2014 .