SD
Member Since 2012
Simon Driscoll
Organization Not Listed
Researching machine learning, and thermodynamics of Arctic sea ice. DPhil Physics @UniofOxford (climate/volcanoes/geoengineering). Nuclear war/winter + X-risk. SASIP project (2021-present) @UniofReading (Schmidt Futures).
Professional Experience
2025 - Present
University of Reading
Student
2024 - 2025
Education
Doctorate
Publications
Coupled Model Intercomparison Project 5 (CMIP5) simulations of climate following volcanic eruptions
The ability of the climate models submitted to the Coupled Model Intercomparison Project 5 (CMIP5) database to simulate the Northern He...
September 06, 2012
AGU Abstracts
Data-driven emulation of melt ponds on Arctic sea ice
DATA-DRIVEN SCIENCE: DEVELOPMENTS IN MACHINE LEARNING SUBGRID-SCALE PARAMETERIZATIONS AND IN REANALYSES ACROSS EARTH SYSTEM MODELING II POSTER
nonlinear geophysics | 12 december 2024
Simon Driscoll, Alberto Carrassi, Julien Brajard, ...
The formation and evolution of sea ice melt ponds are complex, insufficiently understood, and driven by meter-scale mechanisms unseen by numerical mod...
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An observational emulator of melt ponds on Arctic sea ice using machine learning
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR THE CRYOSPHERE II ORAL
cryosphere | 09 december 2024
Simon Driscoll, Alberto Carrassi, Julien Brajard, ...
Sea ice melt pond formation and evolution is complex, insufficiently understood, and driven by meter-scale mechanisms unseen by numerical models. Melt...
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Replacing sub-grid parametrisations of sea ice melt ponds with a data driven emulator
MACHINE LEARNING SUBGRID-SCALE PARAMETERIZATIONS FOR EARTH SYSTEM MODELING II POSTER
nonlinear geophysics | 14 december 2023
Simon Driscoll, Alberto Carrassi, Julien Brajard, ...
Sea ice plays an essential role in global ocean circulation and in regulating Earth's climate and weather, and melt ponds that form on the ice have a ...
View Abstract
Check out all of Simon Driscoll’s AGU Research!
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