A5057341311- Cryospheric studies and observations
- Oceanographic and Atmospheric Processes
- Meteorological Phenomena and Simulations
- Methane Hydrates and Related Phenomena
- Geological Studies and Exploration
- Geology and Paleoclimatology Research
- Marine and coastal ecosystems
- Arctic and Antarctic ice dynamics
- Winter Sports Injuries and Performance
- Precipitation Measurement and Analysis
- Polar Research and Ecology
- Time Series Analysis and Forecasting
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
- Science and Climate Studies
- Marine and environmental studies
McGill University
2020-2025
École Polytechnique Fédérale de Lausanne
2020-2021
Observations and numerical models reveal that mesoscale eddies are ubiquitous in the Arctic Ocean. These thought to play an important role particular transport of heat, salt nutrients from shelves deep basins, modulation sea ice cover, dynamical equilibrium Beaufort gyre. However, characteristics these poorly documented. Here, eddy detection tracking method is applied output a high resolution (1/12°) regional model - North Atlantic over period 1995-2020 investigate...
Abstract We examine the geostrophic pathways of Pacific and Atlantic Waters along isopycnal surfaces Arctic Ocean from Montgomery potentials using two observation‐based climatologies: World Atlas Monthly Isopycnal & Mixed‐layer Climatology. The decadal mean circulation (2005–2017) shows an anticyclonic for both summer (sPW) winter (wPW, although somewhat weaker) in Canada Basin with subduction Chukchi plateau water masses. On wPW layer, diagnostics also highlight a year‐long persistent...
Abstract Modeled geospatial Lagrangian trajectories are widely used in Earth Science, including oceanography, atmospheric science and marine biology. The typically large size of these data sets makes them arduous to analyze, their underlying pathways challenging identify. Here, we show that can use a machine learning unsupervised k‐means++ clustering method combined with expert aggregation clusters identify the Labrador Current from set modeled trajectories. presented requires simple...
Abstract. Polarimetric radar systems are commonly used to study the microphysics of precipitation. While they offer continuous measurements with a large spatial coverage, retrieving information about microphysical processes that govern evolution snowfall from polarimetric signal is challenging. The present develops new method, called process identification based on vertical gradient signs (PIVSs), spatially identify occurrence main (aggregation and riming, crystal growth by vapor deposition...
Abstract. Polarimetric radar systems are commonly used to study the microphysics of precipitation. While they offer continuous measurements with a large spatial coverage, retrieving information about microphysical processes that govern evolution snowfall from polarimetric signal is challenging. The present develops new method, called Process Identification based on Vertical gradient Signs (PIVS), spatially identify occurrence main (aggregation and riming, crystal growth by vapor deposition,...
Modelled geospatial Lagrangian trajectories are widely used in Earth Science, including oceanography, atmospheric science and marine biology. The typically large size of these dataset makes them arduous to analyze, their underlying pathways challenging identify. Here, we show that a Machine Learning unsupervised k-means++ clustering method can successfully identify the Labrador Current from set modelled trajectories. presented requires simple pre-processing data, Cartesian correction on...
A trend towards earlier sea-ice melt is detected in many ice-covered regions the Arctic. The timing of onset has a strong impact on energy budget. Melt changes radiative properties ice due to increasing snow wetness and meltwater. So far, satellite passive microwave data are used detect onset. We analyzed transmitted radiation spectra as collected underneath drifting using remotely operated vehicle during ARTofMELT expedition Fram Strait spring 2023. colocated those with measurements depth,...
<p>Microphysical processes in cold precipitating clouds are not fully understood and their parametrization atmospheric models remains challenging . In particular the lack of evaluation validation microphysical parameterizations polar regions questions reliability ice sheet surface mass balance assessments. Recently, strong discrepancies have been found precipitation structure between simulations with different over Antarctic...
<p align="justify"><span>The current assessment of the Antarctic surface mass balance mostly relies on reanalysis products or climate model simulations. The ability models to reproduce precipitation field at regional and continental scales not only depends simulation atmospheric dynamics over Southern Ocean advection moisture towards ice sheet, but also representation microphysical processes that govern formation growth crystals snowflakes. This...
<p>Lagrangian studies are a widely-used and powerful way to analyse interpret phenomenons in oceanography atmospheric sciences. Such can be based on dataset either consisting of real trajectories (e.g. oceanic drifters or floats) virtual computed from velocity outputs model observation-derived velocities. data help investigate pathways water masses, pollutants storms, identify important convection areas name few. As many these analyses large volumes that challenging examine,...
<p>The accurate representation of snowfall is still a challenge for weather forecast and climate models. It mostly relies on the parameterization microphysical processes that govern growth decay. Recently, strong discrepancies have been pinpointed between different schemes in cold precipitations over Antarctica, questioning reliability  surface mass balance assessments. A better understanding an improved these require acquisition observational data, which...