CFD Online Logo CFD Online URL
Home > Jobs > Job Record #16537

CFD Jobs Database - Job Record #16537

Job Record #16537
TitleHPC modeling of permafrost
CategoryPostDoc Position
EmployerGéosciences Environment Toulouse Laboratory
LocationFrance, Toulouse
InternationalYes, international applications are welcome
Closure DateThursday, October 01, 2020
Researcher position : Numerical modeling of permafrost thermo-hydrological dynamics with OpenFOAM® 
using High Performance Computing in the framework of the HiPerBorea project

Location: GET laboratory ( in Toulouse, France. 
          Lab. Affiliated to the Observatory Midi-Pyrénées (

Contract duration: Fixed-term period of 24 months with possibility of an
 extension, to be started in january 2021.

Salary: 2100 euros/month to 3150 euros/month (all taxes paid, including medical
 insurance) depending on the number of years after PhD defense, according to the
 national CNRS directives.

Contact: Laurent Orgogozo, University of Toulouse – Paul Sabatier Toulouse III 

Keywords: numerical simulation, Computational Fluid Dynamics (CFD), OpenFOAM®, 
High Performance Computing (HPC), supercomputers, massively parallel computing,
 heat transfer in porous media, flow in porous media, freeze/thaw processes, 
cryohydrogeology, cryohydrology, permafrost modeling, boreal areas, climate 
change impacts.

Scientific context:
	This researcher position is associated with the HiPerBorea project 
funded by the French National Research Agency (ANR). HiPerBorea aims at enabling
 quantitative and predictive modeling of cold regions hydrosystems evolution 
under climate change. Arctic and sub-arctic areas, which are highly vulnerable
 to global warming, are largely covered by permafrost – soil that is year-round 
frozen at depth. Permafrost-affected areas, which represent 25% of emerged lands
 of the northern hemisphere, currently experience fast and important changes of
 both hydrological and thermal processes in response to climate change. In this
 project, advanced numerical modeling will be used to help predict the impact of
 permafrost thaw on thermo-hydrological status of the arctic regions. By doing 
so, HiPerBorea will provide mechanistic understanding of Arctic change, that is
 necessary to further understand carbon cycle and contaminant/nutrient 
transport, and to further assess risk and opportunity for sustainable 
urbanization, agriculture and general sustainable development of the 
(sub-)Arctic. Specifically, HiPerBorea will focus on producing quantitative 
estimates of climate change impacts on the thermo-hydrological status of 
permafrost in four experimental watersheds under long-term environmental 
monitoring (e.g.: stations of the INTERACT network). Studying the behaviors of 
these four watersheds which cover a large longitudinal gradient from Scandinavia
 to Eastern Siberia, we expect to get key information on the response of boreal 
areas to climate change. 
	The chosen strategy to reach this goal is numerical modeling based on 
computational fluid dynamics methods applied to cryohydrogeology and 
cryohydrology. The physical processes to be simulated are 
hydrogeological/hydrological transfers and thermal transfers with seasonal 
freeze/thaw cycles on boreal continental surfaces, which are described by 
strongly coupled and non-linear partial differential equations. Due to the large
 time scales (up to the century) and space scales (up to several tens of km²) to
 be dealt with, large computational loads will be encountered and the use of 
high performance computing will be required. In HiPerBorea the permaFoam solver
 for cryohydrogeology (Orgogozo et al., 2019) will serve as a basis for the 
development of a new open source cryohydrological simulator that will allow to 
perform the considered numerical modelings. The permaFoam solver has been 
developed in the framework of the well-known OpenFOAM®* computational fluid 
dynamics open source tool box, mainly in order to benefit from its good 
capabilities for massively parallel computation (e.g.: Orgogozo et al., 2014). 
The use of a new permaFoam based cryohydrological simulator on modern 
supercomputers such as the tier-2 supercomputer Olympe** of CALMIP or the tier-1
 supercomputer Occigen*** of the CINES (and even tier-0 European supercomputing
 infrastructure if needed) will allow to perform the simulations of thermal and 
hydrological responses of the considered experimental catchments to various
 scenarios of climate change. These simulations will be unprecedented in terms 
of scales and resolutions in the field of cryo-hydrogeology and will be made 
using cutting edge modeling techniques. It is expected that they will give key 
novel insights on the on-going arctic changes, such as enveloppes for active
layer thickness evolutions or for water fluxes evolutions within each considered
* and 

Job description: For each four studied watershed, the hired researcher will run 
the simulations of thermal and hydrological responses to climate change 
according to the various CMIP 5 scenarios using the HPC permafrost simulator 
developed in the HiPerBorea project (already operational flavor: permaFoam, 
Orgogozo et al., 2019 ; to be extended and developed during the HiPerBorea 
project by the other partners of the project). He/she will do the conditioning 
of the modelings (e.g.: building meshes representing Digital Elevation Models, 
boundary conditions that take into account meteorological forcings and land 
cover) on the basis of the field data and the satellite data existing for each
 watershed, using the advanced pre-processing tools of the OpenFOAM® environment
 (e.g.: snappyHexMesh, swak4foam). Once he/she will have performed the 
simulations on regional to European supercomputers, he/she will interpret the 
obtained results to quantitatively assess the potential impacts of climate 
change on boreal permafrost through watershed-wise analyses and comparative 
analyses between the considered watersheds. He/she will present the acquired 
knowledge in international scientific conferences and publish them in peer-
reviewed, open access journals with high impact factors.

Required education, experience and skills: The hired researcher must be familiar
 with computational fluid dynamics methods, and should have expertise in at 
least one of the additional field listed below:
- transport in porous media ;
- high performance computing ;
- permafrost modeling.
An experience with the use of OpenFOAM would be highly appreciated, although not
 mandatory.  Team-working state of mind and excellent scientific communication 
skills are also expected.

How to apply: Applicants should submit a complete application package by email
 to Laurent Orgogozo ( It should include (1) a 
curriculum vitae including most important recent publications, (2) a statement 
of motivation and (3) names, addresses, phone numbers, and email addresses of at
 least two references. The application should be preferably submitted before the
 1st of October 2020.

    Orgogozo L., Prokushkin A.S., Pokrovsky O.S., Grenier C., Quintard M., Viers
 J., Audry S., 2019. Water and energy transfer modeling in a permafrost-
dominated, forested catchment of Central Siberia: the key role of rooting depth.
 Permafrost and Periglacial Processes 30 : 75-89. 
    Grenier C., Anbergen H., Bense V., Chanzy Q., Coon E., Collier N., Costard 
F., Ferry M.,  Frampton A., Frederick J., Gonçalvès J., Holmén J., Jost A., Kokh
 S., Kurylyk B., McKenzie J.,  Molson J.,  Mouche E., Orgogozo L., Pannetier R.,
 Rivière A., Roux N., Rühaak W.,  Scheidegger J., Selroos J.-O., Therrien R., 
Vidstrand P., Voss C., 2018. Groundwater flow and heat transport for systems 
undergoing freeze-thaw: Intercomparison of numerical simulators for 2D test 
cases. Adv. Water Resour., 114, 196-218. 
    Orgogozo L., 2015. RichardsFOAM2: a new version of RichardsFOAM devoted to 
the modeling of the vadose zone. Computer Physics Communications 196 : 619-620.
 DOI: 10.1016/j.cpc.2015.07.009 
    Orgogozo L., Renon N., Soulaine C., Hénon F., Tomer S.K., Labat D., 
Pokrovsky O.S., Sekhar M.,  Ababou R., Quintard M., 2014. An open source 
massively parallel solver for Richards equation: Mechanistic modeling of water 
fluxes at the watershed scale. Computer Physics Communications 185 : 3358-3371.
 DOI: 10.1016/j.cpc.2014.08.004 
Contact Information:
Please mention the CFD Jobs Database, record #16537 when responding to this ad.
NameLaurent Orgogozo
Email ApplicationYes
AddressGET-OMP, 14 avenue Edouard Belin,
31400 Toulouse, France
Record Data:
Last Modified10:51:36, Tuesday, April 07, 2020

[Tell a Friend About this Job Advertisement]

Go to top Go to top