Titre : Postdoctoral researcher

Affiliation: Université du Québec à Montréal (UQAM)

Co-superviseurs : Philippe Lucas-Picher (UQAM), Philippe Gachon (UQAM) et Philippe Roy (Hydro-Quebec)

Sujet de recherche : High-resolution regional climate modelling of extreme precipitation, windstorms, and associated hydrometeorological risks in Eastern Canada

Abstract :

Soumik Ghosh is a climate researcher at the Université du Québec à Montréal (UQAM). His expertise includes high-resolution regional climate modelling, general circulation modelling, extreme precipitation and windstorms, storm-track dynamics, Indian and global monsoon systems, and the impacts of climate change on hydrometeorological hazards.

At ESCER, he uses the CRCM6–GEM5 model, including convection-permitting simulations at 2.5 km resolution, to study extreme weather events in Quebec and Eastern Canada. His work combines model configuration with multi-scenario simulations, spectral-nudging experiments, and soil-moisture sensitivity tests to better understand how atmospheric circulation and surface conditions influence intense precipitation and windstorms.

In a recent study, he investigated the 2019 Halloween windstorm, which caused widespread damage and power outages across Eastern Canada. By comparing convection-permitting and convection-parameterized simulations, he examined how model resolution affects wind gusts, rainfall, and storm movement. His findings demonstrate both the added detail and the limitations of very high-resolution climate modelling.

He is currently investigating how extreme winds across Eastern Canada may evolve in a warming climate, including possible changes in their occurrence, intensity, and duration. Through this work, he aims to improve understanding of regional climate hazards and support climate-impact assessments, adaptation planning, and informed decision-making

Publications :

Ghosh, S., P. Lucas-Picher, P. Roy, P. Gachon, and A. Di Luca, 2025: Optimal Configuration of a Convection-Permitting Regional Climate Model in Simulating Precipitation Extremes: The Saguenay Flood. J. Hydrometeor., 26, 1751–1774, https://doi.org/10.1175/JHM-D-25-0011.1

Ghosh, S., P. Lucas-Picher, P. Roy, P. Gachon, and A. Di Luca, (2026) Improved Representation of Wind-Gust Extremes and Storm Characteristics through Convection-Permitting modeling of the Halloween 2019 Windstorm over Eastern Canada. Weather and Climate Extremes (ready to communicate)