Author

Simon Driscoll

Observed names: Driscoll, Simon, S. Driscoll, S. J. Driscoll

Institutions: University of Cambridge, University of Reading

Observed institutions: University of Cambridge, University of Oxford, National Centre for Earth Observation, Imperial College London, University of Reading

ORCID: 0000-0001-5080-1234

Observed ORCID: 0000-0001-5080-1234

OpenAlex ID: A5008723727

Coupled Model Intercomparison Project 5 (CMIP5) simulations of climate following volcanic eruptions

2012 · Simon Driscoll, Alessio Bozzo, et al. · Journal of Geophysical Research Atmospheres · 286

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán

2024 · Andrew J. Charlton-Perez, Helen F. Dacre, et al. · npj Climate and Atmospheric Science · 85

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Troposphere to stratosphere transport at low latitudes as studies using HALOE observations of water vapour 1992–1997

1998 · D. R. Jackson, S. J. Driscoll, et al. · Quarterly Journal of the Royal Meteorological Society · 50

Environmental impact of large language models in medicine

2024 · Oliver Kleinig, Shreyans Sinhal, et al. · Internal Medicine Journal · 21

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Coupled Model Intercomparison Project 5 (CMIP5) Simulations of Climate Following Volcanic Eruptions

2012 · Simon Driscoll, Alessio Bozzo, et al. · AGU Fall Meeting Abstracts · 19

Verification of AI–based environmental forecasting systems: What can we do, what do we need to do, and what are the challenges?

2026 · Jochen Bröcker, Simon Driscoll, et al. · Journal of the European Meteorological Society. · 3

Northern Hemisphere Midlatitude Cyclone Intensity Biases in Machine Learning Weather Prediction Models

2025 · H. F. Dacre, A. J. Charlton-Perez, et al. · Bulletin of the American Meteorological Society · 1

A Response Theory Probe for Learned Stochastic AI Simulators, Tested on Lorenz-63

2026 · Böger, João, Driscoll, Simon, et al. · arXiv (Cornell University)

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Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations

2026 · Lassen, Oskar Bohn, Boger, Joao Paulo de Souza, et al. · arXiv (Cornell University)

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Butterfly Effect and the Kinetic Energy Cascade in Probabilistic Machine Learning Weather Prediction Models

2026 · Chen, Jiakai, Oskarsson, Joel, et al. · arXiv (Cornell University)

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Investigating Inductive Biases for Machine Learning Emulation of Sudden Stratospheric Warmings in Idealised Isca Simulations

2026 · Lassen, Oskar Bohn, Driscoll, Simon, et al. · arXiv (Cornell University)

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Inductive Biases for Robust Climate Emulation Across Forecast Timescales

2026 · Oskar Bohn Lassen, Francisco Camara Pereira, et al.

Weather and Climate: Applications of Machine Learning and Artificial Intelligence

2026 · Simon Driscoll, Kieran Hunt, et al.

Textbook and code: AI for climate scientists

2026 · Simon Driscoll, Kieran Hunt, et al.

Midlatitude Cyclone Intensity Biases in Machine Learning Weather Prediction Models

2026 · Helen Dacre, Andrew Charlton-Perez, et al.

Climate Impacts of Stratopsheric Particle Injection

2015 · Simon Driscoll, Scott Osprey, et al. · EGUGA

SPICE Work Package 3: Modelling the Effects of Stratospheric Aerosol Geoengineering

2015 · Simon Driscoll · EGU General Assembly Conference Abstracts

Climate impacts of stratospheric particle injection

2014 · Driscoll, Simon · Oxford University Research Archive (ORA) (University of Oxford)

Works count: 18

Citation count: 465

H-index: 5

I10-index: 5