Reducing Time Delays in Computing Numerical Weather Models at Regional and Local Levels : A Grid-Based Approach

Local Levels: a Grid-based Approach

This paper introduces a grid-based approach to reduce the time to deliver local meteorological forecast information. The computation of local meteorological forecasts relies on the execution of both regional and local scale Numerical Weather Prediction models. Typically, such models require extensive computation on large compute clusters. Moreover, the models are commonly executed sequentially,...

Combining Global and Local Grid-Based Bias Correction for Mesoscale Numerical Weather Prediction Models

Two methods for objective grid-based bias removal in mesoscale numerical weather prediction models are proposed, one global and one local. The global method is an elaboration of model output statistics (MOS), combining several modern methods for multiple regression: alternating conditional expectation (ACE), regression trees, and Bayesian model selection. This allows the representation of nonli...

Software Tools and Parallel Computing for Numerical Weather Prediction Models

This paper describes a software environment to facilitate the use of cluster computing for Numerical Weather Prediction (NWP) models. It presents an empirical study based on the NCAR/Penn State MM5 model and another mesoscale model developed at the Pacific Northwest National Laboratory (PNNL). Without appropriate tools, it is tedious and difficult to work with the legacy codes for NWP models. W...

A Grid Portal for Numerical Weather Prediction

This paper introduces our experience on development of a Grid Portal, which provides a weather forecast service via web browsers to its users. The development consists of two parts, as “Gridification” of a forecasting program with Ninf-G and its “Portalization” with GridLib. We could accomplish those work with a little deal of trouble. Especially, any modification to the program is not necessar...

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