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Rain rates based on SSM/I,OLR and raingauge data sets
Authors:R. M. Gairola  T. N. Krishnamurti
Affiliation:(1) Present address: Department of Meteorology, Florida State University, Tallahassee, Florida, USA
Abstract:Summary In this paper we present a methodology for evaluating rain rates from a mix of satellite and surface based observations. The component data sets include the outgoing longwave radiation (OLR), microwave radiometric data from the special sensor microwave imager (SSM/I) and surface raingauge data from the World Weather Watch. We have noted some deficiencies in the SSM/I algorithm-based rain rate over land areas; the OLR-based rain rates exhibit a larger lateral spread and lower intensities than the observed rainfall structures. The proposed combined method assimilates these three data sets to provide improved fields of global tropical rainfall.With 3 Figures
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