Grid computing is nowadays an established technology, which offers an alternative to traditional HPC resources. Grid has proven to be a great infrastructure to perform climate experiments that involve large amounts of independent simulations such as ensemble predictions and sensitivity analysis. But, the heterogeneity and distributed nature of Grid poses new challenges to climate applications willing to exploit them. During last 10 years, the Santander Meteorology Group has been involved in developing frameworks that allow climate models to make an efficient use of Grid resources. This work started in the EELA project, where a framework prototype was used to simulate El Niño phenomenon with the Community Atmosphere Model (CAM) on the EGEE infrastructure. An evolved version of this first prototype was used to create WRF4G (EGI application), which allow to run the Weather Researcher and Forecasting (WRF) regional model on distributed infrastructures. WRF4G can be executed on both Grid and HPC infrastructures and, today, it contributes to international initiatives such as CORDEX and European FP7 projects such as SPECS and EUPORIAS. Acknowledgment This work is partially funded by the Spanish PLAN NACIONAL de I+D+i 2008-2011 (WRF4G, Ref.# CGL2011-28864) and the European Regional Development Fund (ERDF).
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