Clustering Technique to Interpret Numerical Weather Prediction Output Products for Forecast of Cloudburst

With the advent of digital computers and their continuous increasing processing power, the 'Numerical Weather Prediction' (NWP) models which solve a close set of equations of atmospheric model, have been adopted by most of the meteorological services to issue day to day weather forecasts. These forecasts are issued for public in general. But there are many limitations inherent to this technique viz. the actual weather event cannot be predicted directly by these models, so statistical regression techniques viz. Model Output Statistics (MOS) are used to derive the weather phenomenon from the NWP output products which itself requires long term consistent series of model forecasts.

Provided by: International Journal of Computer Science and Information Technologies Topic: Cloud Date Added: Jan 2012 Format: PDF

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