Abstract

Weather forecasting has been an area of considerable interest among researchers since long. In particular, precipitation has been found to be interesting because of its chaotic nature and also because of the direct impact it has on the society. Even after the invention of complex Coupled Numerical Weather Prediction Models, the errors in prediction have been found to be of significant magnitude. The present study aims at investigating all the aspects of error dynamics in dynamic and statistical predictions, and reviews these two prediction models on the basis of errors arising due to initial conditions and understanding of physical processes generating with time series.

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