An Information Theoretic Approach to Improving the Reliability of Weather and Climate Simulations

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

Autori: Lucy Harris; Andrew T. T. McRae; Matthew Chantry; Peter D. Dueben; Tim N. Palmer
Pubblicato in: Journal in Advances of Modelling Earth Systems, 2022, ISSN 1942-2466
Editore: American Geophysical Union
DOI: 10.1029/2022ms003120

Compressing atmospheric data into its real information content

Autori: Milan Klower, Miha Razinger, Juan J Dominguez, Peter Duben, Tim Palmer
Pubblicato in: Nature Computational Science, 2021, ISSN 2662-8457
Editore: Nature
DOI: 10.1038/s43588-021-00156-2

Forecast-based attribution of a winter heatwave within the limit of predictability

Autori: Nicholas Leach, Antje Weisheimer, Myles Allen, Tim Palmer
Pubblicato in: Proceedings of the National Academy of Sciences, 2021, ISSN 0027-8424
Editore: National Academy of Sciences
DOI: 10.1073/pnas.2112087118

Forecasting feels-like temperatures as a strategy to reduce heat illnesses during spoting events

Autori: Milan Klower, Pascal Edouard, Andreas Niess, Sebastien Racinais, Yannis Pitsiladis, Florian Pappenberger, Karsten Hollander
Pubblicato in: British Journal of Sports Medicine, 2023, ISSN 0306-3674
Editore: BMJ Publishing Group
DOI: 10.1136/bjsports-2022-106413

Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation.

Autori: K. Strommen, S. Juricke, F. Cooper
Pubblicato in: Weather and Climate Dynamics, 2022, ISSN 2698-4016
Editore: Copernicus
DOI: 10.5194/wcd-3-951-2022

Quantum Computers for Weather and Climate Prediction: The Good, the Bad and the Noisy

Autori: Felix Tennie, Tim Palmer
Pubblicato in: Bulletin of the American Meteorological Society, 2023, ISSN 0003-0007
Editore: American Meteorological Society
DOI: 10.1175/bams-d-22-0031.1

Deep Learning for Downscaling Tropical Cyclone Rainfall to Hazard-Relevant Spatial Scales

Autori: Emily Vosper, Peter Watson, Lucy Harris, Andrew McRae, Raul Santos-Rodriguez, Laurence Aitchison, Dann Mitchell
Pubblicato in: Journal of Geophysical Research: Atmospheres, 2023, ISSN 2169-8996
Editore: John Wiley and Sons
DOI: 10.1029/2022jd038163

Fluid simulations accelerated with 16 bits: Approaching 4x speedup on A64FX by squeezing ShallowWaters.jl into Float16

Autori: Milan Klöwer, Sam Hatfield, Matteo Croci, Peter D. Düben, Tim N. Palmer
Pubblicato in: Journal of Advances in Modelling Earth Systems, 2022, ISSN 1942-2466
Editore: American Geophysical Union
DOI: 10.1029/2021ms002684

The physics of numerical analysis: a climate modelling case study

Autori: T. N. Palmer
Pubblicato in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Numero 378/2166, 2020, Pagina/e 20190058, ISSN 1364-503X
Editore: Royal Society of London
DOI: 10.1098/rsta.2019.0058

Single-Precision in the Tangent-Linear and Adjoint Models of Incremental 4D-Var

Autori: Sam Hatfield, Andrew McRae, Tim Palmer, Peter Düben
Pubblicato in: Monthly Weather Review, Numero 148/4, 2020, Pagina/e 1541-1552, ISSN 0027-0644
Editore: American Meteorological Society
DOI: 10.1175/mwr-d-19-0291.1

The scaling and skewness of optimally transported meshes on the sphere

Autori: Chris J. Budd, Andrew T.T. McRae, Colin J. Cotter
Pubblicato in: Journal of Computational Physics, Numero 375, 2018, Pagina/e 540-564, ISSN 0021-9991
Editore: Academic Press
DOI: 10.1016/j.jcp.2018.08.028

Reduced‐precision parametrization: lessons from an intermediate‐complexity atmospheric model

Autori: Leo Saffin, Sam Hatfield, Peter Düben, Tim Palmer
Pubblicato in: Quarterly Journal of the Royal Meteorological Society, 2020, ISSN 0035-9009
Editore: Royal Meteorological Society
DOI: 10.1002/qj.3754

The scientific challenge of understanding and estimating climate change

Autori: Tim Palmer, Bjorn Stevens
Pubblicato in: Proceedings of the National Academy of Sciences, Numero 116/49, 2019, Pagina/e 24390-24395, ISSN 0027-8424
Editore: National Academy of Sciences
DOI: 10.1073/pnas.1906691116

Mixed-precision for Linear Solvers in Global Geophysical Flows

Autori: Jan Ackmann; Peter D. Dueben; Tim Palmer; Piotr K. Smolarkiewicz
Pubblicato in: Journal of Advances in Modeling Earth Systems, 2022, ISSN 1942-2466
Editore: American Geophysical Union
DOI: 10.1002/essoar.10511194.1

More accuracy with less precision

Autori: Simon T. K. Lang, Andrew Dawson, Michail Diamantakis, Peter Dueben, Samuel Hatfield, Martin Leutbecher, Tim Palmer, Fernando Prates, Christopher D. Roberts, Irina Sandu, Nils Wedi
Pubblicato in: Quarterly Journal of the Royal Meteorological Society, 2021, ISSN 1477-870X
Editore: John Wiley and Sons
DOI: 10.1002/qj.4181

Climate Modelling in Low-Precision: Effects of both Deterministic & Stochastic Rounding

Autori: Adam Paxton, Matthew Chantry, Milan Klöwer, Leo Saffin, Tim Palmer
Pubblicato in: Journal of Climate, 2022, ISSN 0894-8755
Editore: American Meteorological Society
DOI: 10.1175/jcli-d-21-0343.1

Periodic orbits in chaotic systems simulated at low precision

Autori: Milan Klöwer, Peter V. Coveney, E. Adam Paxton & Tim N. Palmer
Pubblicato in: Scientific Reports, 2023, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-37004-4

Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting

Autori: Matthew Chantry, Sam Hatfield, Peter Dueben, Inna Polichtchouk, Tim Palmer
Pubblicato in: Journal of Advances in Modeling Earth Systems, Numero 13/7, 2021, ISSN 1942-2466
Editore: American Geophysical Union
DOI: 10.1029/2021ms002477

Climate change modelling at reduced floating-point precision with stochastic rounding

Autori: Tom Kimpson, Adam Paxton, Mat Chantry, Tim Palmer
Pubblicato in: Quarterly Journal of the Royal Meterological Society, 2023, ISSN 0035-9009
Editore: Royal Meteorological Society
DOI: 10.1002/qj.4435

Computing the ecRad radiation scheme with half-precision arithmetic

Autori: Anton Pershin, Matthew Chantry, Peter Dominik Dueben, Robin J Hogan, Tim Palmer
Pubblicato in: ESS Open Archive, 2023
Editore: Earth and Space Science Open Archive
DOI: 10.22541/essoar.169603511.10575870/v1

Deep Learning for Verification of Earth-System Parametrisation of Water Bodies

Autori: Tom Kimpson, Margarita Choulga, Matthew Chantry, Gianpaolo Balsamo, Souhail Boussetta, Peter Dueben, and Tim Palmer
Pubblicato in: EGUSphere, 2022
Editore: EGUSphere
DOI: 10.5194/egusphere-2022-1177

SoftPosit.jl

Autori: M Kloewer, M Giordano
Pubblicato in: Zenodo, 2019
Editore: Zenodo
DOI: 10.5281/zenodo.3541798

ShallowWaters.jl

Autori: M Kloewer
Pubblicato in: Zenodo, 2020
Editore: zenodo
DOI: 10.5281/zenodo.3626102

Sonums.jl

Autori: M Kloewer
Pubblicato in: Zenodo, 2019
Editore: Zenodo
DOI: 10.5281/zenodo.3531886

Sherlogs.jl

Autori: M Kloewer
Pubblicato in: Zonodo, 2019
Editore: Zonodo
DOI: 10.5281/zenodo.3543604

Float8s.jl

Autori: M Kloewer
Pubblicato in: Github, 2019
Editore: Github

LogFixPoint16s.jl

Autori: M Kloewer
Pubblicato in: github, 2019
Editore: github

StochasticRounding.jl

Autori: M Kloewer
Pubblicato in: github, 2019
Editore: github

Lorenz63.jl

Autori: M Kloewer
Pubblicato in: Zenodo, 2019
Editore: Zenodo
DOI: 10.5281/zenodo.3541740

Jenks.jl

Autori: M Kloewer
Pubblicato in: github, 2019
Editore: github

Lorenz96.jl

Autori: M Kloewer
Pubblicato in: Zenodo, 2019
Editore: zenodo
DOI: 10.5281/zenodo.3541775

coolFFT.jl

Autori: M Kloewer
Pubblicato in: github, 2019
Editore: github

public-downscaling-cgan

Autori: Andrew McRae, Lucy Harris, Matthew Chantry, Fenwick Cooper, Jussi Leinonen
Pubblicato in: 2023
Editore: GitHub

Further analysis of cGAN: A system for Generative Deep Learning Post-processing of Precipitation

Autori: Fenwick C. Cooper, Andrew T. T. McRae, Matthew Chantry, Bobby Antonio, Tim N. Palmer
Pubblicato in: ArXiv, 2023, ISSN 2331-8422
Editore: ArXiv
DOI: 10.48550/arxiv.2309.15689

Using reduced-precision arithmetic in the adjoint model of MITgcm

Autori: Andrew McRae, Tim Palmer
Pubblicato in: ArXiv, 2020, ISSN 2331-8422
Editore: ArXiv
DOI: 10.48550/arxiv.2003.08972

Compatible Finite Element Methods for Geophysical Flows - Automation and Implementation Using Firedrake

Autori: Thomas Gibson, Andrew McRae, Colin Cotter, Lawrence Mitchell, David Ham
Pubblicato in: 2019, ISBN 978-3-030-23957-2
Editore: Springer
DOI: 10.1007/978-3-030-23957-2

Posits as an alternative to floats for weather and climate models

Autori: Milan Klöwer, Peter D. Düben, Tim N. Palmer
Pubblicato in: Proceedings of the Conference for Next Generation Arithmetic 2019 on - CoNGA'19, 2019, Pagina/e 1-8, ISBN 9781-450371391
Editore: ACM Press
DOI: 10.1145/3316279.3316281

Machine learning for weather and climate modelling

Autori: Matthew Chantry, Hannah Christensen, Peter Dueben and Tim Palmer
Pubblicato in: ‘Machine learning for weather and climate modelling’ Philosophical Transactions of the Royal Society A, Numero Volume 379 Numero 2194, 2021
Editore: Royal Society Publishing
DOI: 10.1098/rsta.2020.0083

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