On 2021-12-22 this page moved to the GitHub wiki This page is available just for archival purposes.


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.



If you are writing a research paper please cite:

        series = {Special {Section}: {A} {Note} on {New} {Trends} in {Data}-{Aware} {Scheduling} and {Resource} {Provisioning} in {Modern} {HPC} {Systems}},
        title = {Large-scale climate simulations harnessing clusters, grid and cloud infrastructures},
        volume = {51},
        issn = {0167-739X},
        doi = {10.1016/j.future.2015.04.009},
        journal = {Future Generation Computer Systems},
        author = {Fernández-Quiruelas, V. and Blanco, C. and Cofiño, A. S. and Fernández, J.},
        year = {2015},
        keywords = {Cloud, Grid, HPC, Hybrid DCIs, Regional climate model, WRF},
        pages = {36--44},

WRF4G2.0 Wiki Index


If you have any problems, please send us a ticket!!

Last modified 2 months ago Last modified on Mar 21, 2022 7:27:35 PM

Attachments (1)

Download all attachments as: .zip