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Geomagnetic Data Assimilation Using Ensemble Methods to Estimate Forecast Error Covariance
Data assimilation is the methodology to assimilate observational data with numerical models for better estimation of the true physical states. This research focuses on application of ensemble estimation of error covariance ...
Spatio-Temporal Modeling of Rain Rates
Modeling episodes of heavy rain is an important component of hydrological studies. Based on the analysis of ship-borne radar data over the tropical ocean, we propose a new class of probability densities that capture the ...