Publications
An idealised model of convective hydration of the Tropical Tropopause Layer. Part I: model formulation and diagnostic approach
– Quarterly Journal of the Royal Meteorological Society
(2026)
(doi: 10.1002/qj.70328)
Online Reinforcement Learning in the Met Office Unified Model through Distributed Model-Agent Coupling
(2026)
(doi: 10.48550/arxiv.2609.02566)
Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
(2026)
(doi: 10.48550/arxiv.2601.04268)
Replacing Tunable Parameters in Weather and Climate Models With State‐Dependent Functions Using Reinforcement Learning
– Journal of Advances in Modeling Earth Systems
(2026)
18,
e2026MS005745
(doi: 10.1029/2026ms005745)
Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
(2026)
The QBO Buffer Zone: Insights from a Hierarchy of Models
(2026)
FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models
– CoRR
(2026)
abs/2508.14315,
(doi: 10.5194/egusphere-egu26-351)
Making Tunable Parameters State-Dependent in Weather and Climate Models with Reinforcement Learning
(2026)
FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models.
(2025)
FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models
(2025)
(doi: 10.48550/arxiv.2508.14315)
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