Version 40 (modified by carlos, 7 years ago) (diff)

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## Introduction

WRF4G is a framework for executing and monitoring the WRF Modeling System (see this presentation for an introduction to WRF) on Distributed Computing Infrastructures(DCIs). It provides a flexible and easy way of designing complex experiments involving many simulations (multiple start/end dates, multi-parametric simulations, long climate runs, ...). The monitor allows a precise control of the experiment's state, where broken simulations are automatically detected and relaunched at the next submission.

Given a list of computing resources that the user can access, WRF4G submits the experiment to them according to the experiment needs. Users can configure different DCIs such as local PCs, stand-alone servers, clusters, grid resources, etc. The output files are going to be stored depending on the resources used to run the simulations.

The following picture shows the main WRF4G components (see the following presentation for further information) and the interaction among them.

## Citation

If you are writing a research paper please cite:

Fernández-Quiruelas, V., C. Blanco, A. S. Cofiño, y J. Fernández. 2015. "Large-scale climate simulations harnessing clusters, grid and cloud infrastructures". Future Generation Computer Systems, 51, 36-44. doi:10.1016/j.future.2015.04.009.

@article{fernandez-quiruelas:2015,
title = {Large-scale climate simulations harnessing clusters, grid and cloud infrastructures},
volume = {51},
issn = {0167-739X},
doi = {10.1016/j.future.2015.04.009},
pages = {36--44},
journaltitle = {Future Generation Computer Systems},
author = {Fernández-Quiruelas, V. and Blanco, C. and Cofiño, A. S. and Fernández, J.},


## Problems

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