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  • Currently displaying 1 - 20 of 416 publications
A Simple Model for Tidally Forced Standing Waves in a Submarine Canyon
Y Ma, R Ferrari
– Journal of Physical Oceanography
(2026)
56,
2423
(doi: 10.1175/jpo-d-26-0005.1)
Dynamics of the Asian Summer Monsoon Anticyclone: insights from potential vorticity tendency diagnostics
N Li, JS Wright, P Rupp, A Ming, S Zhang, J Gao
– Weather and Climate Dynamics
(2026)
7,
1853
(doi: 10.5194/wcd-7-1853-2026)
Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations
OB Lassen, JPDS Boger, S Driscoll, SI Thomson, S Schemm, F Rodrigues, FC Pereira
(2026)
(link to publication)
Butterfly Effect and the Kinetic Energy Cascade in Probabilistic Machine Learning Weather Prediction Models
J Chen, J Oskarsson, S Driscoll, S Schemm
(2026)
(link to publication)
Online Reinforcement Learning in the Met Office Unified Model through Distributed Model-Agent Coupling
P Nath, S Schemm, P Haynes, E Shuckburgh, M Webb
(2026)
(link to publication)
Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models
S Adamov, O Fuhrer, R Knutti, S Schemm
(2026)
(link to publication)
Diabatic Processes in the Four-Quadrant Jet Streak Model
M Bukenberger, N Zilibotti, S Schemm
– Bulletin of the American Meteorological Society
(2026)
107,
E1796
(doi: 10.1175/BAMS-D-25-0083.1)
Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
P Nath, S Schemm, H Moss, P Haynes, E Shuckburgh, MJ Webb
(2026)
(doi: 10.48550/arxiv.2601.04268)
Replacing Tunable Parameters in Weather and Climate Models With State‐Dependent Functions Using Reinforcement Learning
P Nath, S Schemm, H Moss, P Haynes, E Shuckburgh, MJ Webb
– Journal of Advances in Modeling Earth Systems
(2026)
18,
e2026MS005745
(doi: 10.1029/2026ms005745)
Diabatic Processes in the Four-Quadrant Jet Streak Model
– BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2026)
107,
E1796
(doi: 10.1175/bams-d-25-0083.s1)
Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
P Nath, S Schemm, H Moss, P Haynes, E Shuckburgh, MJ Webb
(2026)
(doi: 10.22541/essoar.176859085.59276820/v2)
Resolution-dependent jet stream representation in ICON aquaplanet experiments
M Bukenberger, S Schemm, A Dipankar, P Pothapakula, CR Ong
(2026)
(doi: 10.22541/essoar.15006621/v1)
Fine-Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes
F Lehmann, F Ozdemir, B Soja, T Hoefler, S Mishra, S Schemm
– Journal of Geophysical Research: Machine Learning and Computation
(2026)
3,
e2025JH000837
(doi: 10.1029/2025JH000837)
Bayesian Calibration of a Large‐Eddy Resolving Model Towards Campaign Measurements With an Ensemble Kalman Smoother
D Grund, S Schemm
– Journal of Advances in Modeling Earth Systems
(2026)
18,
e2026MS005758
(doi: 10.1029/2026MS005758)
Climatic reach of small-scale turbulence in the ocean interior.
L Cimoli, A Mashayek, AC Naveira Garabato, C-CP Caulfield, MH Alford, L Baker, BB Cael, B Fernández Castro, C de Lavergne, E Ellison, G Gebbie, J Gula, P Heimbach, J Lanham, A Le Boyer, K Oglethorpe, WR Peltier, HR Pillar, AM Piotrowski, SG Purkey, N Reynard, E Shuckburgh, MJ Siegert, A Silvano, LC Skinner, CP Spingys, LD Talley, JR Taylor, G Voet, RG Williams, C Wilson, BL Wynne-Cattanach
– Nature Communications
(2026)
17,
5212
(doi: 10.1038/s41467-026-73809-3)
Tropical origins of the recent trends in Northern Hemisphere wintertime jet streams.
G Rivière, S Fromang, S Schemm
– Nat Commun
(2026)
17,
8115
(doi: 10.1038/s41467-026-74980-3)
Investigating Inductive Biases for Machine Learning Emulation of Sudden Stratospheric Warmings in Idealised Isca Simulations
OB Lassen, S Driscoll, SI Thomson, S Schemm, FC Pereira
(2026)
(link to publication)
Lognormal Mixture Distribution Describes Oceanic Turbulent Dissipation
Y Ma, R Ferrari, K Polzin, C-CP Caulfield
– Journal of Physical Oceanography
(2026)
56,
1469
(doi: 10.1175/jpo-d-25-0286.1)
Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
F Lehmann, F Ozdemir, Y Cheng, T Hoefler, S Schemm, B Soja, S Mishra
(2026)
(link to publication)
An Alternative Buoyancy Reynolds Number‐Based Inference of Ocean Diapycnal Diffusivity Due To Internal Wave Breaking: Results From a High Resolution Regional Ocean Model
K Momeni, WR Peltier, J Skitka, Y Ma, BK Arbic, D Menemenlis, Y Pan
– Geophysical Research Letters
(2026)
53,
e2025GL119061
(doi: 10.1029/2025gl119061)

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