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pro vyhledávání: '"Chew, Ray"'
Autor:
Jochum, Felix, Chew, Ray, Lott, François, Voelker, Georg S., Weinkaemmerer, Jan, Achatz, Ulrich
A Lagrangian gravity-wave parameterization (MS-GWaM, Multi-Scale Gravity-Wave Model) that allows for fully transient wave-mean-flow interaction and horizontal propagation is applied to orographic gravity waves for the first time. Both linear and nonl
Externí odkaz:
http://arxiv.org/abs/2408.03139
The representation of subgrid-scale orography is a challenge in the physical parameterization of orographic gravity-wave sources in weather forecasting. A significant hurdle is encoding as much physical information with as simple a representation as
Externí odkaz:
http://arxiv.org/abs/2403.19184
The traditional approximation neglects the cosine components of the Coriolis acceleration, and this approximation has been widely used in the study of geophysical phenomena. However, the justification of the traditional approximation is questionable
Externí odkaz:
http://arxiv.org/abs/2206.00577
The Ohta-Kawasaki model for diblock-copolymers is well known to the scientific community of diffuse-interface methods. To accurately capture the long-time evolution of the moving interfaces, we present a derivation of the corresponding sharp-interfac
Externí odkaz:
http://arxiv.org/abs/2107.04366
A challenge arising from the local Bayesian assimilation of data in an atmospheric flow simulation is the imbalances it may introduce. Acoustic fast-mode imbalances of the order of the slower dynamics can be negated by employing a blended numerical m
Externí odkaz:
http://arxiv.org/abs/2103.11861
Publikováno v:
In Journal of Computational Physics 15 May 2023 481
Autor:
Chew, Ray1 (AUTHOR) ray.chew@fu-berlin.de, Benacchio, Tommaso2 (AUTHOR), Hastermann, Gottfried1 (AUTHOR), Klein, Rupert1 (AUTHOR)
Publikováno v:
Monthly Weather Review. Sep2022, Vol. 150 Issue 9, p2231-2254. 24p. 8 Diagrams, 3 Charts, 7 Graphs, 1 Map.
Akademický článek
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Autor:
Chew, Ray
Local sequential Bayesian data assimilation introduces physical imbalances that pose a challenge for geophysical flows with implications for robust numerical weather prediction. The presence of fast-mode imbalances of the order of the relevant slower
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::996cd8b9c1638979437d91e3e496e409