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Hi there 👋

I’m currently a postdoc fellow at the Université du Québec à Trois-Rivières (UQTR) / RIVE / GLACIOLAB funded by the ESA Climate Change Initiative on “Snow cover heterogeneity and its impact on the Climate and Carbon cycle of Arctic regions (SnowC2)” under the supervision of Christophe Kinnard and Alexandre Roy. The main objectives of this project are to improve the current snow model in CLASSIC and assess the influence of these new developments in the Arctic.

Before that, I received my PhD at the Institute of Environmental Geosciences (Grenoble, France) on “Modeling climate trends and variability in High Mountain Asia to understand cryosphere changes” supervised by Martin Ménégoz and Gerhard Krinner, where I mainly focused on a CMIP6 multimodel study and on improving the representation of topography in snow cover parameterizations using the ORCHIDEE land surface model.

Mickaël LALANDE's Projects

cmip6_hma_paper icon cmip6_hma_paper

Repo for the paper: Climate change in the High Mountain Asia in CMIP6

m2_internship icon m2_internship

Identification and filtering of oceanic chaos by Machine Learning

phd icon phd

Personal repository for my PhD

proplot icon proplot

🎨 A lightweight matplotlib wrapper for making beautiful, publication-quality graphics

scf_param_paper icon scf_param_paper

Code used to produce the analyses and figures of the paper: "Improving climate model skill over High Mountain Asia by adapting snow cover parameterization to complex topography areas"

unetoceanfilter icon unetoceanfilter

A Machine Learning Technique to Attenuate the Imprint of Chaotic Ocean Variability in Altimetric Observations

variabilite_climatique icon variabilite_climatique

Repository pour les projets tutorés de l'UE Variabilité Climatique et Environnementale de l'Université Grenoble Alpes

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