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Scientific software |
/code/ |
Contributing to a european modeling infrastructure |
nemo |
Datasets |
data |
Because we pay a lot of attention to the robustness and reproducibility of our results, we distribute most of our research code under open source licenses. For instance, our contributions to NEMO ocean model are discussed with the NEMO System Team and distributed under the CeCILL license with NEMO releases.
Other on-going active projects include :
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CDFTOOLS (since 2006) : A fortran package for diagnostics of ocean model output (contact : J.-M. Molines)
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SESAM (since 2001) : A fortran library for sequencial data assimilation (contact : J.M. Brankart)
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OOCGCM (since 2016) : Out-of-core analysis of large gridded geophysical dataset (contact : J. Le Sommer)
For more recent action, you may also visit our github organization.
Some of our past projects (that may no longer be actively supported or whose the main developpers is no longer in the group) include :
- PyDom (2007-2012) : A Python Package for Physical Diagnostics of Ocean Models Outputs (contact : J. Le Sommer)
- SOSIE (2007-2011): (Only a) Surface Interpolation Environment (contact : L. Brodeau)
- PyClim (2012-2015): Analysis of high-resolution geophysical netCDF files using Python (contact : G. Serazin)
- CHART (since 2001) visualisation tool ( manual )
We believe that scientific software plays an essential role in transforming raw data and hypotheses into science.