GPROF Algorithm Description
The Goddard profiling algorithm (GPROF) is the current operational rainfall algorithm for both TRMM TMI and AMSR-E. In addition, GPROF rainfall estimates from SSM/I are used in the the Global Precipitation Climatology Project (GPCP) merged rainfall product [Huffman et al., 1997]. GPROF retrieves both the instantaneous rainfall and the rainfall vertical structure by using a Bayesian approach to match the observed brightness temperatures to hydrometeor profiles derived from cloud resolving models (CRMs). A radiative transfer model based on a one-dimensional Eddington approximation [Kummerow, 1993] is used to compute brightness temperatures from the CRM hydrometeor profiles at the observed satellite frequencies. More information on the retrieval algorithm is available from Kummerow et al. [1996, 2001],
Instrument dependent details:
Kummerow, C., and Coauthors, 2001: The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors, J. Appl. Meteor., 40, 1801-1820.
Kummerow, C., W. S. Olson, and L. Giglio, 1996: A simplified scheme for obtaining precipitation and vertical hydrometeor profiles from passive microwave sensors, IEEE Trans. Geosci. Remote Sens., 34, 1213-1232.
Kummerow, C., 1993: On the accuracy of the Eddington approximation for radiative transfer in the microwave frequencies, J. Geophys. Res., 98, 2757-2765.
Huffman, G. J., and Coauthors, 1997: The Global Precipitation Climatology Project (GPCP) combined precipitation dataset, Bull. Amer. Meteor. Soc., 78, 5-20.