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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-ensemble simulations, long climate runs and so on). 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 HPC, Grid and Cloud resources. The output files are going to be stored depending on the resources used to run the simulations.
See the following presentation for further information.
* [wiki:WRF4G2.0/Requirements Requirements] * [wiki:WRF4G2.0/Install Installation guide] * [wiki:WRF4G2.0/CLI Command line interface] * [wiki:WRF4G2.0/Resources How to configure computing resources] * [wiki:WRF4G2.0/Experiment How to configure an experiment] * [wiki:WRF4G2.0/Ensemble How to create a multi-ensemble experiment] * [wiki:WRF4G2.0/Preprocessor How to create preprocessor] * [wiki:WRF4G2.0/Postprocessor How to create postprocessor] * [wiki:WRF4G2.0/WRF4GFiles What is wrf4g_files directory?] * [wiki:WRF4G2.0/Geogrid How to create WRF geographical domain ] * [wiki:WRF4G2.0/WRFAPP How to configure WRF in WRF4G 2.x.x] * [wiki:WRF4G2.0/Tutorial How to run a demo local experiment] * [wiki:WRF4G2.0/Tutorial2 How to run a demo grid experiment on ESR VO] * [wiki:WRF4G2.0/WRFReforecast How to run a reforecast experiment] * [wiki:WRF4G2.0/AdvancedConfiguration Advanced configuration] * [wiki:WRF4G2.0/FAQ FAQ]
If you are writing a research paper please cite:
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