Meteorological models in conjunction with air quality models are being used to simulate the transport and fate of pollutants in the atmosphere. Hence, there is a need for an extensive evaluation of the entire modeling system. In this study, several new techniques to assess the performance of mesoscale meteorological models are introduced with an emphasis on evaluating the variables and processe...

DIAL methodology is analyzed for developing a forward observation operator and an error covariance matrix for 4-d variational assimilation of water vapor data into mesoscale models. The operator is applied to data of the LASE system which were collected during the IHOP_2002 campaign. The assimilation effort will be performed using the MM5 model nested into an ECMWF analysis. The goal of this pr...

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...