Systematical estimation of GPM-based global satellite mapping of precipitation products over China

Abstract As the Global Precipitation Measurement (GPM) Core Observatory satellite continues its mission, new version 6 products for Global Satellite Mapping of Precipitation (GSMaP) have been released. However, few studies have systematically evaluated the GSMaP products over mainland China. This study quantitatively evaluated three GPM-based GSMaP version 6 precipitation products for China and eight subregions referring to the Chinese daily Precipitation Analysis Product (CPAP). The GSMaP products included near-real-time (GSMaP_NRT), microwave-infrared reanalyzed (GSMaP_MVK), and gauge-adjusted (GSMaP_Gau) data. Additionally, the gauge-adjusted Integrated Multi-Satellite Retrievals for Global Precipitation Measurement Mission (IMERG_Gau) was also assessed and compared with GSMaP_Gau. The analyses of the selected daily products were carried out at spatiotemporal resolutions of 1/4° for the period of March 2014 to December 2015 in consideration of the resolution of CPAP and the consistency of the coverage periods of the satellite products. The results indicated that GSMaP_MVK and GSMaP_NRT performed comparably and underdetected light rainfall events (

[1]  Z. Kawasaki,et al.  A Kalman Filter Approach to the Global Satellite Mapping of Precipitation (GSMaP) from Combined Passive Microwave and Infrared Radiometric Data , 2009 .

[2]  Y. Hong,et al.  Comparison of TRMM 2A25 Products, Version 6 and Version 7, with NOAA/NSSL Ground Radar-Based National Mosaic QPE , 2013 .

[3]  A. Mariotti La de´nitrification dans les eaux souterraines, principes et me´thodes de son identification: Une revue , 1986 .

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

[5]  C. Daly,et al.  A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain , 1994 .

[6]  P. Xie,et al.  Performance of high‐resolution satellite precipitation products over China , 2010 .

[7]  Efrat Morin,et al.  Improving interpolation of daily precipitation for hydrologic modelling: spatial patterns of preferred interpolators , 2009 .

[8]  D. S. Pai,et al.  A preliminary assessment of GPM-based multi-satellite precipitation estimates over a monsoon dominated region , 2018 .

[9]  Xiaomang Liu,et al.  Analysis of changes in the relationship between precipitation and streamflow in the Yiluo River, China , 2013, Theoretical and Applied Climatology.

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

[11]  Markus Disse,et al.  Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales. , 2016, The Science of the total environment.

[12]  Michael Lehning,et al.  High-Resolution Vertical Profiles of X-Band Polarimetric Radar Observables during Snowfall in the Swiss Alps , 2013 .

[13]  Emmanouil N. Anagnostou,et al.  Evaluating Satellite Precipitation Error Propagation in Runoff Simulations of Mountainous Basins , 2016 .

[14]  J. Salas,et al.  A COMPARATIVE ANALYSIS OF TECHNIQUES FOR SPATIAL INTERPOLATION OF PRECIPITATION , 1985 .

[15]  Yang Hong,et al.  Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations , 2014, PloS one.

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

[17]  Takuji Kubota,et al.  Improvement of TMI Rain Retrievals in Mountainous Areas , 2013 .

[18]  I. Jolliffe,et al.  Equitability Revisited: Why the ''Equitable Threat Score'' Is Not Equitable , 2010 .

[19]  F. Pappenberger,et al.  Assessment of a 1-hour gridded precipitation dataset to drive a hydrological model: A case study of the summer 2007 floods in the upper severn, UK , 2013 .

[20]  Richard Gloaguen,et al.  Impact of transient groundwater storage on the discharge of Himalayan rivers , 2012 .

[21]  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 .

[22]  Antonio Parodi,et al.  High-Resolution Simulations of the 2010 Pakistan Flood Event: Sensitivity to Parameterizations and Initialization Time , 2016 .

[23]  Klaus Fraedrich,et al.  Precipitation climate of Central Asia and the large-scale atmospheric circulation , 2012, Theoretical and Applied Climatology.

[24]  Liliang Ren,et al.  Evaluation of latest TMPA and CMORPH satellite precipitation products over Yellow River Basin , 2016 .

[25]  Soroosh Sorooshian,et al.  Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau , 2016 .

[26]  Yang Hong,et al.  Statistical assessment and hydrological utility of the latest multi-satellite precipitation analysis IMERG in Ganjiang River basin , 2017 .

[27]  Yudong Tian,et al.  Multitemporal Analysis of TRMM-Based Satellite Precipitation Products for Land Data Assimilation Applications , 2007 .

[28]  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 .

[29]  R. Khanbilvardi,et al.  Bias Correction of Satellite Rainfall Estimation Using A Radar-Gauge Product , 2010 .

[30]  Linna Wu,et al.  Evaluating the suitability of TRMM satellite rainfall data for hydrological simulation using a distributed hydrological model in the Weihe River catchment in China , 2015, Journal of Geographical Sciences.

[31]  Misako Kachi,et al.  Improvement of High-Resolution Satellite Rainfall Product for Typhoon Morakot (2009) over Taiwan , 2013 .

[32]  Kenji Nakamura,et al.  Validation of TRMM Radar Rainfall Data over Major Climatic Regions in Africa , 2003 .

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

[34]  Yang Hong,et al.  Early assessment of Integrated Multi-satellite Retrievals for Global Precipitation Measurement over China , 2016 .

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

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

[37]  Di Long,et al.  Similarity and Error Intercomparison of the GPM and Its Predecessor-TRMM Multisatellite Precipitation Analysis Using the Best Available Hourly Gauge Network over the Tibetan Plateau , 2016, Remote. Sens..

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

[39]  David A. Newell,et al.  The Global Precipitation Measurement (GPM) Microwave Imager (GMI): Instrument Overview and Early On-Orbit Performance , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

[41]  P. Xie,et al.  Kalman Filter–Based CMORPH , 2011 .

[42]  R. Gairola,et al.  Validation of high-resolution TRMM-3B43 precipitation product using rain gauge measurements over Kyrgyzstan , 2012, Theoretical and Applied Climatology.

[43]  G. Huffman,et al.  A Screening Methodology for Passive Microwave Precipitation Retrieval Algorithms , 1998 .

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

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

[46]  S. Sorooshian,et al.  Evaluation and comparison of satellite precipitation estimates with reference to a local area in the Mediterranean Sea , 2014 .

[47]  M. Shrestha,et al.  Systematic Evaluation of Satellite-Based Rainfall Products over the Brahmaputra Basin for Hydrological Applications , 2015 .

[48]  Xi Li,et al.  Evaluation of IMERG and TRMM 3B43 Monthly Precipitation Products over Mainland China , 2016, Remote. Sens..

[49]  F. Turk,et al.  Component analysis of errors in satellite-based precipitation estimates , 2009 .

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