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Department of Applied Mathematics and Theoretical Physics

Publications

Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems.
IJS Shokar, PH Haynes, RR Kerswell
– CoRR
(2025)
abs/2502.20603,
A simple dynamical model linking radiative-convective instability, convective aggregation and large-scale dynamics
P Haynes, M Davison
(2025)
The challenge of land in a neural network ocean model
R Furner, P Haynes, DC Jones, D Munday, B Paige, E Shuckburgh
– Environmental Data Science
(2025)
3,
e40
Diagnosing tracer transport in convective penetration of a stably stratified layer
CW Powell, PH Haynes, JR Taylor
– Journal of Fluid Mechanics
(2024)
997,
a48
A simple model linking radiative-convective instability, convective aggregation and large-scale dynamics
M Davison, P Haynes
– Weather and Climate Dynamics
(2024)
5,
1153
Stochastic Latent Transformer: Efficient Modeling of Stochastically Forced Zonal Jets
IJS Shokar, RR Kerswell, PH Haynes
– CoRR
(2024)
abs/2310.16741,
e2023MS004177
How heating tracers drive self-lofting long-lived stratospheric anticyclones: Simple dynamical models
K Shah, PH Haynes
– Weather and Climate Dynamics
(2024)
5,
559
Learning Stochastic Dynamics with Probabilistic Neural Networks to study Zonal Jets
I Shokar, P Haynes, R Kerswell
(2023)
On the magnitude and sensitivity of the quasi-biennial oscillation response to a tropical volcanic eruption
F Brown, L Marshall, PH Haynes, RR Garcia, T Birner, A Schmidt
– Atmospheric Chemistry and Physics
(2023)
23,
5335
Seasonality of the QBO Impact on Equatorial Clouds
A Sweeney, Q Fu, HA Pahlavan, P Haynes
– Journal of Geophysical Research Atmospheres
(2023)
128,
e2022JD037737
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Research Group

Atmosphere-Ocean Dynamics

Room

G1.13

Telephone

01223 337862