Microwave Rainfall Estimation over Coasts

Abstract The microwave coastal rain identification procedure that has been used by NASA for over 10 yr, and also more recently by NOAA, for different instruments beginning with the Special Sensor Microwave Imager (SSM/I), is updated for use with Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Advanced Microwave Scanning Radiometer (AMSR)-[Earth Observing System (EOS)] E microwave data. Since the development of the SSM/I algorithm, a wealth of both space-based and ground-based radar-rainfall estimates have become available, and here some of these data are used with collocated TMI and AMSR-E data to improve the estimation of coastal rain areas from microwave data. Two major improvements are made. The first involves finding the conditions where positive rain rates should be estimated rather than leaving the areas without estimates as in the previous algorithm. The second is a modification to the final step of the rain identification method; previously, a straight brightness temperature ...

[1]  Robert F. Adler,et al.  Estimation of Monthly Rainfall over Japan and Surrounding Waters from a Combination of Low-Orbit Microwave and Geosynchronous IR Data , 1993 .

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

[3]  G. Huffman,et al.  Global tropical rain estimates from microwave‐adjusted geosynchronous IR data , 1994 .

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

[5]  Christian Kummerow,et al.  A simplified scheme for obtaining precipitation and vertical hydrometeor profiles from passive microwave sensors , 1996, IEEE Trans. Geosci. Remote. Sens..

[6]  Michael A. Turk,et al.  The Tropical Rainfall Potential (TRaP) Technique. Part I: Description and Examples , 2005 .

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

[8]  Ralph Ferraro,et al.  Special sensor microwave imager derived global rainfall estimates for climatological applications , 1997 .

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

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

[11]  Joanne Simpson,et al.  Goddard Cumulus Ensemble Model. Part I: Model Description , 1993 .

[12]  Edward N. Rappaport,et al.  Loss of Life in the United States Associated with Recent Atlantic Tropical Cyclones , 2000 .

[13]  G. Petty.  Physical retrievals of over-ocean rain rate from multichannel microwave imagery. Part II: Algorithm implementation , 1994 .

[14]  Christian Kummerow,et al.  NASDARainfall algorithms for AMSR-E , 2003, IEEE Trans. Geosci. Remote. Sens..

[15]  Ralf Bennartz,et al.  Sensitivity of microwave radiances at 85–183 GHz to precipitating ice particles , 2003 .

[16]  E. Anagnostou,et al.  Overland Precipitation Estimation from TRMM Passive Microwave Observations , 2001 .

[17]  Ye Hong,et al.  Atmospheric Latent Heating Distributions in the Tropics Derived from Satellite Passive Microwave Radiometer Measurements , 1999 .

[18]  Ralf Bennartz,et al.  On the Use of SSM/I Measurements in Coastal Regions , 1999 .

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

[20]  Peter Bauer,et al.  Over-Ocean Rainfall Retrieval from Multisensor Data of the Tropical Rainfall Measuring Mission. Part II: Algorithm Implementation , 2001 .

[21]  Fuzhong Weng,et al.  Advanced microwave sounding unit cloud and precipitation algorithms , 2003 .

[22]  Grant W. Petty,et al.  Validation and Intercomparison of SSM/I Rain-Rate Retrieval Methods over the Continental United States , 1998 .