Release of RichardsFoam3

RichardsFoam3 is an updated version of the OpenFOAM solver RichardsFoam, previously presented in ”An open source massively parallel solver for Richards equation: Mechanistic modelling of water fluxes at the watershed scale” by Orgogozo et al. (2014), and in the new version announcement ”RichardsFOAM2: a new version of RichardsFOAM devoted to the modelling of the vadose zone” by Orgogozo (2015).
This new version includes improvements of memory handling and of on-the-fly control of computations, a better integration in the OpenFOAM framework, simplifications of the coding of some expressions, as well as new advanced boundary conditions. All together these developments allow to enhanced the ease of application of the code to continental surfaces hydrogeology modeling, its computational performances and its readability.
An updated version of permaFoam will also be released soon.

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Presentation of HiPerBorea at the 13th Asian Computational Fluid Dynamics conference

HiPerBorea participated to the 13th Asian Computational Fluid Dynamics conference, held in Jeju on the 17th, 18th and 19th of October 2022. Presenting the project to the asian CFD community was the occasion of many interesting and fruitful discussions. The presentation given at this conference may be found here.


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Permafrost modelling with OpenFOAM ® : New advancements of the
permaFoam solver

In September 2022 a new version of permaFoam, the OpenFOAM solver for permafrost modelling, has been published in Computer Physics Communications as a Computer Programs in Physics contribution by Orgogozo, Xavier, Oulbani and Grenier. In this work, the massivelly parallel computing capabilities are studied on supercomputers of CALMIP and of the TGCC, and example of […]


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Field mission in Abisko – July 2022

On July 2022 a field mission to Abisko Research Station in Northern Sweden has been done. The goals were to produce a new vegetation map for Stordalen and Mielajokka catchments (see the previous HiPerBorea field mission in Abisko) based on satelite data (Auda et al., in prep) and to sample sphagnum mosses from the peatlands […]