Tom R. Andersson

British Antarctic Survey — United Kingdom

Earth and Planetary Sciences · Physical Sciences

7h-index713citations23works28.22yr avg
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Research Topics

Arctic and Antarctic ice dynamics(13), Methane Hydrates and Related Phenomena(6), Climate variability and models(4), Meteorological Phenomena and Simulations(4), Cryospheric studies and observations(4)

Publications23 total

Skillful joint probabilistic weather forecasting from marginals
arXiv (Cornell University)·2025Open Access
<scp>AI</scp> sea ice forecasts for Arctic conservation: A case study predicting the timing of caribou sea ice migrations
Ecological Solutions and Evidence·2025· 1 citedOpen Access
End-to-end data-driven weather prediction
Nature·2025· 32 citedOpen Access
Optimal Sensor Placement for Aerosol Absorption Optical Depth with Convolutional Neural Processes
2025Open Access
Author response for "&lt;scp&gt;AI&lt;/scp&gt; sea ice forecasts for Arctic conservation: A case study predicting the timing of caribou sea ice migrations"
2025
Probabilistic weather forecasting with machine learning
Nature·2024· 212 citedOpen Access
Author response for "&lt;scp&gt;AI&lt;/scp&gt; sea ice forecasts for Arctic conservation: A case study predicting the timing of caribou sea ice migrations"
2024
Aardvark weather: end-to-end data-driven weather forecasting
arXiv (Cornell University)·2024· 8 citedOpen Access
Pushing the Limits of Subseasonal-to-Seasonal Sea Ice Forecasting with Deep Generative Modelling&amp;#160;
2024· 1 citedOpen Access
Sim2Real for Environmental Neural Processes
arXiv (Cornell University)·2023Open Access
Autoregressive Conditional Neural Processes
arXiv (Cornell University)·2023· 3 citedOpen Access
Environmental sensor placement with convolutional Gaussian neural processes
Environmental Data Science·2023· 18 citedOpen Access
Environmental Sensor Placement with Convolutional Gaussian Neural Processes
arXiv (Cornell University)·2022· 2 citedOpen Access
Ice Core Dating using Probabilistic Programming
arXiv (Cornell University)·2022Open Access
Dataset for IceNet's demo notebook
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Dataset for IceNet's demo notebook
2021Open Access
Seasonal Arctic sea ice forecasting with probabilistic deep learning
Nature Communications·2021· 258 citedOpen Access
Code associated with the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
Zenodo (CERN European Organization for Nuclear Research)·2021· 1 citedOpen Access
A daily to seasonal Arctic sea ice forecasting AI
2021· 1 citedOpen Access
Seasonal Arctic sea ice forecasting with probabilistic deep learning
2021· 22 citedOpen Access
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Frequent Co-authors

J. Scott Hosking(14), Richard E. Turner(8), Rod Downie(6), Stratis Markou(6), María Pérez‐Ortiz(5), James Byrne(5), James Requeima(5), Wessel P. Bruinsma(5), Alejandro Coca-Castro(5), Anna Vaughan(5), Brooks Paige(4), Andrew Elliott(4), Chris Russell(4), Stephen Law(4), Daniel C. Jones(4), Jeremy Wilkinson(4), Tony Phillips(4), Rachel D. Cavanagh(4), Will Tebbutt(4), Steffen Tietsche(3)