Verification of High-Resolution Satellite-Based Rainfall Estimates around Japan Using a Gauge-Calibrated Ground-Radar Dataset

Global rainfall products of high spatial and temporal resolutions have been provided using combined data from passive microwave (PMW) sensors in low Earth orbit and infrared (IR) radiometers in geostationary Earth orbit (GEO). This study compared six satellite rainfall estimates around Japan with reference to a ground-radar dataset calibrated by rain gauges provided by the Japan Meteorological Agency (JMA) from January through December 2004. Validation results tended to be better for the products with temporal interpolation based upon the morphed technique using GEO IR information. Satellite estimates were poor for light rainfall during the warm season and for very heavy rainfall.  Further analyses of satellite estimates were conducted in terms of data sources and surface types. Effective performance by the merger of PMW sounders over the ocean was verified by radar validation, in addition to the best results of the PMW imagers. Overall, validation results over the ocean were best, and results over mountainous regions were worst. Performance was poor over coasts and small islands, due to the problem of PMW retrievals. This study focused on hydrometeor profiles of orographic heavy rainfall over the Japanese Archipelago, which could be related to the poor performance of satellite estimates in very heavy rainfall.

[1]  Alfred T. C. Chang,et al.  Retrieval of Monthly Rainfall Indices from Microwave Radiometric Measurements Using Probability Distribution Functions , 1991 .

[2]  F. Marzano,et al.  Results of WetNet PIP2 Project , 1998 .

[3]  Keiji Imaoka,et al.  The Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E), NASDA's contribution to the EOS for global energy and water cycle studies , 2003, IEEE Trans. Geosci. Remote. Sens..

[4]  Yudong Tian,et al.  Systematic anomalies over inland water bodies in satellite‐based precipitation estimates , 2007 .

[5]  Tetsuo Nakazawa,et al.  Madden-Julian Oscillation Activity and Typhoon Landfall on Japan in 2004 , 2006 .

[6]  Ralph Ferraro,et al.  Next generation of NOAA/NESDIS TMI, SSM/I, and AMSR‐E microwave land rainfall algorithms , 2003 .

[7]  Ralph Ferraro,et al.  Evaluation and improvement of AMSU precipitation retrievals , 2007 .

[8]  Guosheng Liu,et al.  Passive Microwave Precipitation Retrievals Using TMI during the Baiu Period of 1998. Part I: Algorithm Description and Validation , 2000 .

[9]  F. Joseph Turk,et al.  Toward Improvements in Short-time Scale Satellite-Derived Precipitation Estimates using Blended Satellite Techniques , 2007 .

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

[11]  Takuji Kubota,et al.  Development of Nonuniform Beamfilling Correction Method in Rainfall Retrievals for Passive Microwave Radiometers over Ocean Using TRMM Observations , 2009 .

[12]  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.

[13]  Frank S. Marzano,et al.  Results of WetNet PIP-2 Project , 1998 .

[14]  N. Grody Classification of snow cover and precipitation using the special sensor microwave imager , 1991 .

[15]  Yoshiyuki Abe,et al.  Accuracy of Radar-AMeDAS Precipitation , 1996 .

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

[17]  Toshio Iguchi,et al.  Space-Borne Radar Algorithms , 2007 .

[18]  H. Michael Goodman,et al.  Precipitation retrieval over land and ocean with the SSM/I - Identification and characteristics of the scattering signal , 1989 .

[19]  Fuzhong Weng,et al.  Retrieval of Ice Cloud Parameters Using the Advanced Microwave Sounding Unit , 2002 .

[20]  Thomas T. Wilheit,et al.  Some comments on passive microwave measurement of rain , 1986 .

[21]  P. Xie,et al.  Gauge-based monthly analysis of global land precipitation , 1996 .

[22]  T. Matsuo,et al.  Relationship between Types of Precipitation on the Ground and Surface Meteorological Elements , 1981 .

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

[24]  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 .

[25]  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 .

[26]  William S. Olson,et al.  Precipitation and Latent Heating Distributions from Satellite Passive Microwave Radiometry. Part I: Improved Method and Uncertainties , 2006 .

[27]  Matthew Rodell,et al.  Analysis of Multiple Precipitation Products and Preliminary Assessment of Their Impact on Global Land Data Assimilation System Land Surface States , 2005 .

[28]  Fuzhong Weng,et al.  NOAA operational hydrological products derived from the advanced microwave sounding unit , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[29]  R. Adler,et al.  Intercomparison of global precipitation products : The third Precipitation Intercomparison Project (PIP-3) , 2001 .

[30]  K. Okamoto,et al.  Rain profiling algorithm for the TRMM precipitation radar , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[31]  P. Xie,et al.  A Gauge-Based Analysis of Daily Precipitation over East Asia , 2007 .

[32]  T. Kubota,et al.  GSMaP Passive Microwave Precipitation Retrieval Algorithm : Algorithm Description and Validation(2. Global Satellite Mapping of Precipitation (GSMaP) Project, Precipitation Measurements from Space) , 2009 .

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

[34]  松山 洋 「Statistical Methods in the Atmospheric Sciences(2nd edition), International Geophysics Series 91」, Daniel S. Wilks著, Academic Press, 2005年11月, 648頁, $94.95, ISBN978-0-12-751966-1(本だな) , 2010 .

[35]  K. Iwanami,et al.  High precision and high resolution global precipitation map from satellite data , 2008, 2008 Microwave Radiometry and Remote Sensing of the Environment.

[36]  Ziad S. Haddad,et al.  The TRMM 'Day-1' Radar/Radiometer Combined Rain-Profiling Algorithm , 1997 .

[37]  Dong-Bin Shin,et al.  The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors , 2001 .

[38]  Misako Kachi,et al.  Global Precipitation Map using Satelliteborne Microwave Radiometers by the GSMaP Project : Production and Validation , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[39]  A. Gruber,et al.  Results from the GPCP Algorithm Intercomparison Programme , 1996 .

[40]  Grant W. Petty,et al.  Physical retrievals of over-ocean rain rate from multichannel microwave imagery. Part I: Theoretical characteristics of normalized polarization and scattering indices , 1994 .

[41]  Yang Hong,et al.  Flood and landslide applications of near real-time satellite rainfall products , 2007 .

[42]  Thomas L. Bell,et al.  A Study of the Sampling Error in Satellite Rainfall Estimates Using Optimal Averaging of Data and a Stochastic Model , 1996 .

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

[44]  Riko Oki,et al.  International Global Precipitation Measurement (GPM) Program and Mission: An Overview , 2007 .

[45]  Circulation features associated with the record‐breaking typhoon landfall on Japan in 2004 , 2005 .

[46]  Nobuhiro Takahashi,et al.  The global satellite mapping of precipitation (GSMaP) project , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[47]  C. Kummerow,et al.  The Tropical Rainfall Measuring Mission (TRMM) Sensor Package , 1998 .

[48]  T. Takeda,et al.  Radar Observation of Rainfall System Modified by Orographic Effects , 1980 .

[49]  Ralph Ferraro,et al.  Microwave Rainfall Estimation over Coasts , 2005 .

[50]  Thomas L. Bell,et al.  Dependence of Satellite Sampling Error on Monthly Averaged Rain Rates:Comparison of Simple Models and Recent Studies , 2000 .