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Stochastic-Dynamical Modeling of Space Time RainfallThe focus of this research work is the elucidation of the physical origins of the observed extreme-rainfall variability over tropical oceans. The quantitative results of this work may be used to establish links between deterministic models of the mesoscale and synoptic scale with statistical descriptions of the temporal variability of local tropical oceanic rainfall. In addition, they may be used to quantify the influence of measurement error in large-scale forcing and cloud scale observations on the accuracy of local rainfall variability inferences, important for hydrologic studies. A simple statistical-dynamical model, suitable for use in repetitive Monte Carlo experiments, is formulated as a diagnostic tool for this purpose. Stochastic processes with temporal structure and parameters estimated from observed large-scale data represent large-scale forcing.
Document ID
19990114330
Acquisition Source
Goddard Space Flight Center
Document Type
Other
Authors
Georgankakos, Konstantine P.
(Hydrologic Research Center San Diego, CA United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1997
Subject Category
Meteorology And Climatology
Funding Number(s)
CONTRACT_GRANT: NAG5-2794
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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