Laurent Orgogozo

Dr. Laurent Orgogozo


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 February 2019 in Permafrost and Periglacial Processes
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Journal Article
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LOLaurent Orgogozo
Laurent Orgogozo
Anatoly ProkushkinAnatoly Prokushkin
Anatoly Prokushkin
OPOleg S. Pokrovsky
Oleg S. Pokrovsky
CGChristophe Grenier
Christophe Grenier
MQMichel Quintard
Michel Quintard
SAStéphane Audry
Stéphane Audry

14 September 2022 in Computer Physics Communications
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Journal Article
Open access
LOLaurent Orgogozo
Laurent Orgogozo
TXT. Xavier
T. Xavier
HOH. Oulbani
H. Oulbani
CGC. Grenier
C. Grenier

1 January 2022 in Computer Physics Communications
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Journal Article
Open access
LOLaurent Orgogozo
Laurent Orgogozo

1 November 2015 in Computer Physics Communications
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Journal Article
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LOLaurent Orgogozo
Laurent Orgogozo
International audienceRichardsFoam2 is an updated version of the OpenFOAM® solver RichardsFoam, presented in Orgogozo et al., Comput. Phys. Commun. 2014. The new features are the following: (i) The direct handling of fully heterogeneous porous media, with all the van Genuchten parameters defined as spatially varying scalar fields. (ii) The computation of the density of water flux at each face of the mesh cells, which allows the implementation of fixed water flux (e.g.: rain flux) boundary conditions. (iii) The integration in the water flow resolution of the actual evapotranspiration within the root zone, computed on the basis of the potential evapotranspiration. These new features allow to deal with the hydrology of real (i.e.: heterogeneous) soils in natural conditions, submitted to rain and evapotranspiration. Thus it considerably broadens the field of applicability of the OpenFOAM® solver for Richards equation. The description of the elements contained in this release may be found in the readMe file. In RichardsFoam2_presentation.pdf, one will find a more detailed description of the new features offered by RichardsFoam2 (equations, descriptions of the proposed test cases,…,…)

19 September 2023 in Water
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Yves AudaYves Auda
Yves Auda
ELErik Johannes Lundin
Erik Johannes Lundin
JGJonas Gustafsson
Jonas Gustafsson
Oleg PokrovskyOleg Pokrovsky
Oleg Pokrovsky
SCSimon Cazaurang
Simon Cazaurang
LOLaurent Orgogozo
Laurent Orgogozo
A land cover map of two arctic catchments near the Abisko Scientific Research Station was obtained based on a classification from a Sentinel-2 satellite image and a ground survey performed in July 2022. The two contiguous catchments, Miellajokka and Stordalen, are covered by various ecotypes, from boreal forest to alpine tundra and peatland. Two classification algorithms, support vector machine and random forest, were tested and gave very similar results. The percentage of correctly classified pixels was over 88% in both cases. The developed workflow relies solely on open-source software and acquired ground observations. Space organization was directed by the altitude as demonstrated by the intersection of the land cover with the topography. Comparison between this new land cover map and previous ones based on data acquired between 2008 and 2011 shows some trends in vegetation cover evolution in response to climate change in the considered area. This land cover map is key input data for permafrost modeling and, hence, for the quantification of climate change impacts in the studied area.

13 December 2024 in The Cryosphere
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TXThibault Xavier
Thibault Xavier
LOLaurent Orgogozo
Laurent Orgogozo
Anatoly ProkushkinAnatoly Prokushkin
Anatoly Prokushkin
AEAlonso González Esteban
Alonso González Esteban
Simon GascoinSimon Gascoin
Simon Gascoin
Oleg PokrovskyOleg Pokrovsky
Oleg Pokrovsky
Permafrost thawing as a result of climate change has major consequences locally and globally, both for the biosphere and for human activities. The quantification of its extent and dynamics under different climate scenarios is needed to design local adaptation and mitigation measures and to better understand permafrost climate feedbacks. To this end, numerical simulation can be used to explore the response of soil thermal and hydrological regimes to changes in climatic conditions. Mechanistic approaches minimise modelling assumptions by relying on the numerical resolution of continuum mechanics equations, but they involve significant computational effort. In this work, the permaFoam solver is used, along with high-performance computing resources, to assess the impact of four climate scenarios of the Coupled Model Intercomparison Project Phase 6 (CMIP6) on permafrost dynamics within a pristine, forest-dominated watershed in the continuous-permafrost zone. Using these century-timescale simulations, changes in the soil temperature, soil moisture, active layer thickness, and water fluxes are quantified, assuming no change in the vegetation cover. The most severe scenario (SSP5-8.5) suggests a dramatic increase in both the active layer thickness and annual evapotranspiration, with the maximum values on the watershed increasing by, respectively, +65 % and +35 % by 2100 compared to current conditions. For the active layer thickness, a variable that integrates both the thermal and hydrological states of the near-surface permafrost, this projected increase would correspond to a ∼350 km southward shift in current climatic conditions. Moreover, in this scenario, the thermal equilibrium of near-surface permafrost with the new climatic conditions would not be reached in 2100, suggesting a further thawing of permafrost even in the case in which climate change is halted.