Bayesian estimation of precipitating cloud parameters from combined measurements of spaceborne microwave radiometer and radar

@article{Marzano1999BayesianEO,
  title={Bayesian estimation of precipitating cloud parameters from combined measurements of spaceborne microwave radiometer and radar},
  author={F. Marzano and A. Mugnai and G. Panegrossi and N. Pierdicca and Eric A. Smith and F. Turk},
  journal={IEEE Trans. Geosci. Remote. Sens.},
  year={1999},
  volume={37},
  pages={596-613}
}
The objective of this paper is to evaluate the potential of a Bayesian inversion algorithm using microwave multisensor data for the retrieval of surface rainfall rate and cloud parameters. The retrieval scheme is based on the maximum a posteriori probability (MAP) method, extended for the use of both spaceborne passive and active microwave data. The MAP technique for precipitation profiling is also proposed to approach the problem of the radar-swath synthetic broadening; that is, the capability… Expand
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