This talk describes the preliminary work intended to serve as a basis for the development of a multilayer snow model adapted for the Arctic region in the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC). Ten sites – including …
One of the current limitations of the Canadian Land Surface Scheme including Biogeochemical Cycles (CLASSIC) is the use of a single-layer snow scheme, without an explicit parameterization for the snow cover fraction (SCF) and blowing snow sublimation …
This study investigates the impact of topography on snow cover parameterizations using models and observations. Parameterizations without topography-based considerations overestimate snow cover. Incorporating topography reduces snow overestimation by 5–10 % in mountains, in turn reducing cold biases. However, some biases remain, requiring further calibration and more data. Assessing snow cover parameterizations is challenging due to limited and uncertain data in mountainous regions.
Two studies carried out during my PhD and my current 2-year postdoc project will be presented. The first study investigates climate change in High Mountain Asia (HMA) from 1979 to 2014 and future projections using CMIP6 global climate models (GCMs). …
The High Mountain Asia (HMA) is hosting the largest ice stock after the polar regions. This resource provides a freshwater supply to nearly 1.4 billion people, making it a particularly vulnerable region to climate change. HMA includes the highest …
Mickaël Lalande est doctorant en géosciences à l'Université Grenoble Alpes.
Il travaille sur la modélisation climatique. Cela ne vous dit rien ? Il s'agit de diviser la planète en cubes et de calculer les variables climatiques pour faire des projections, facile !
Snow cover strongly modulates the energy fluxes between the atmosphere and the Earth’s surface. Indeed, snow has generally a much higher albedo compared to other surfaces and therefore reduces the amount of solar radiation absorbed by the surface. …