Snow

CCI Colocation 2024: Snow cover heterogeneity and its impact on the Climate and Carbon cycle of Arctic regions (SnowC2)

CCI Colocation & CMUG Integration meetings 2024

ESA CCI SnowC² Mid-Term Review Meeting

CGU & COHERENT-C/CLASSIC workshop 2024: Snow cover heterogeneity and its impact on the Climate and Carbon cycle of Arctic regions (SnowC2)

2024 Annual Meeting of the CGU 2024 COHERENT-C/CLASSIC workshop Lightening Talk (COHERENT-C/CLASSIC) Poster (CGU + COHERENT-C/CLASSIC)

CLASSIC biweekly meeting: Snow cover heterogeneity and its impact on the Climate and Carbon cycle of Arctic regions

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 …

Colloque CEN 2024: Snow cover heterogeneity and its impact on the Climate and Carbon cycle of Arctic regions (SnowC2)

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 …

Improving climate model skill over High Mountain Asia by adapting snow cover parameterization to complex-topography areas

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.

ESA-CCI Kick-off meeting: Snow cover heterogeneity and its impact on the Climate and Carbon cycle of Arctic regions (SnowC2)

For more information see the project: SnowC2.

RIVE / ECCC CRD seminar: From ORCHIDEE to CLASSIC: improving the simulated snow cover heterogeneity and its impact on the climate

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). …

SnowC2 (2023-2025)

Snow cover heterogeneity and its impact on the Climate and Carbon cycle of Arctic regions

ORCHIDEE DEV: Reducing the High Mountain Asia cold bias in GCMs by adapting snow cover parameterization to complex topography areas