Michel Tsamados

Dr. Michel Tsamados is an Associate Professor in Polar Observation & Modelling at the Department of Earth Sciences, University College London (UCL). He specializes in integrating remote sensing and numerical modeling to study polar climate systems, with a focus on sea ice dynamics, snow cover, and ocean-atmosphere interactions. His work bridges fundamental material science principles with applied climate research, leveraging satellite data (e.g., CryoSat-2, ICESat-2) and advanced machine learning techniques to improve model parameterizations and observational products.

Key affiliations include UCL's Centre for Polar Observation and Modelling (CPOM) and collaborations with the Alan Turing Institute and Met Office Academic Partnership (MOAP). His research explores AI applications in polar climate analysis, geoengineering feasibility studies, and historical climatic data recovery (e.g., Ottoman-era rainfall records).

Research interests encompass sea ice thickness estimation, snow depth retrieval via dual-frequency radar, and understanding drivers of Arctic amplification. He teaches courses on ocean physics, climate change, and climate principles. Current projects include advancing Southern Ocean tide models (ALBATROSS), optimizing sea ice thickness algorithms, and analyzing extreme cyclone impacts on sea ice.

His contributions include developing satellite-derived products like the first summer Arctic sea ice thickness record and pan-Arctic drag coefficient datasets. He actively participates in multidisciplinary initiatives like the MOSAiC Distributed Network and CRISTAL mission preparations.