the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale
Andreas Müller
Willem Deconinck
Christian Kühnlein
Gianmarco Mengaldo
Michael Lange
Nils Wedi
Peter Bauer
Piotr K. Smolarkiewicz
Michail Diamantakis
Sarah-Jane Lock
Mats Hamrud
Sami Saarinen
George Mozdzynski
Daniel Thiemert
Michael Glinton
Pierre Bénard
Fabrice Voitus
Charles Colavolpe
Philippe Marguinaud
Yongjun Zheng
Joris Van Bever
Daan Degrauwe
Geert Smet
Piet Termonia
Kristian P. Nielsen
Bent H. Sass
Jacob W. Poulsen
Per Berg
Carlos Osuna
Oliver Fuhrer
Valentin Clement
Michael Baldauf
Mike Gillard
Joanna Szmelter
Enda O'Brien
Alastair McKinstry
Oisín Robinson
Parijat Shukla
Michael Lysaght
Michał Kulczewski
Milosz Ciznicki
Wojciech Piątek
Sebastian Ciesielski
Marek Błażewicz
Krzysztof Kurowski
Marcin Procyk
Pawel Spychala
Bartosz Bosak
Zbigniew P. Piotrowski
Andrzej Wyszogrodzki
Erwan Raffin
Cyril Mazauric
David Guibert
Louis Douriez
Xavier Vigouroux
Alan Gray
Peter Messmer
Alexander J. Macfaden
Nick New
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bulkoptical properties.
modelscripts, which reproduce or build on what the Fortran model can do. You could do this same wrapping for any compiled model, not just FV3GFS.
friction) as well as diabatic heating were selectively turned off over the tropics for the range of the latitudes from 20° S to 20° N.
chasmbetween aspiration and reality may need to be bridged by large community efforts rather than traditional
in-houseefforts.
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Inaccuracies in air–sea heat fluxes severely degrade the accuracy of ocean numerical simulations. Here, we use artificial neural networks to correct air–sea heat fluxes as a function of oceanic and atmospheric state predictors. The correction successfully improves surface and subsurface ocean temperatures beyond the training period and in prediction experiments.
FINAM is not a model), a new coupling framework written in Python to dynamically connect independently developed models. Python, as the ultimate glue language, enables the use of codes from nearly any programming language like Fortran, C++, Rust, and others. FINAM is designed to simplify the integration of various models with minimal effort, as demonstrated through various examples ranging from simple to complex systems.
This study introduces a new 3D lake–ice–atmosphere coupled model that significantly improves winter climate simulations for the Great Lakes compared to traditional 1D lake model coupling. The key contribution is the identification of critical hydrodynamic processes – ice transport, heat advection, and shear-driven turbulence production – that influence lake thermal structure and ice cover and explain the superior performance of 3D lake models to their 1D counterparts.