Models in Plasmas, Earth and Space Science (2022/2023)
Organizers: PF Claude Bardos (ICP and U. Paris), Oliver Hahn (WPI c/o U.Wien), Ludovic Ferrière (NHM Wien),
Sabine Hittmeir (U. Wien), Alex Schekochihin (Oxford), PF Rupert Klein (HU Berlin)
Talks
| Tommaso Benacchio |
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Mon, 15. Aug 22, 14:30 |
| A semi-implicit compressible model for atmospheric flows with seamless access to soundproof and hydrostatic dynamics |
| Note: (remote) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
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| Joanna Szmelter |
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Mon, 15. Aug 22, 16:15 |
| Preconditioning elliptic operators in high-performance all-scale atmospheric models on unstructured meshes
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Note: with M. Gillard (Loughborough University) & F. Cocetta (Centro Euro-Mediterraneo Sui Cambiamenti Climatici)
(in presence) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
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| Piotr Smolarkiewicz |
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Mon, 15. Aug 22, 17:15 |
| A suite of Richardson preconditioners for semi-implicit all-scale atmospheric models
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| Note: (remote) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
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| Ray Chew |
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Tue, 16. Aug 22, 14:30 |
| Balanced data assimilation with a blended numerical model: Acoustic imbalances
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| Note: (in presence) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
|
| Felix Jochum |
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Tue, 16. Aug 22, 16:15 |
| Implementing terrain-following coordinates into a semi-implicit pseudo-incompressible flow solver
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| Note: (in presence) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
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| Gottfried Hastermann |
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Tue, 16. Aug 22, 17:15 |
| Analysis of the cell-vertex finite volume method for pseudo-incompressible divergence constraints on quadrilateral and cuboid meshes
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| Note: (in presence) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
|
| Joachim Schöberl |
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Wed, 17. Aug 22, 14:00 |
| Simulation of Moist Air by Discontinuous Galerkin Methods within NGSolve |
| Note: (in presence) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
|
| Rupert Klein |
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Wed, 17. Aug 22, 15:00 |
| Aspects of the BK19 scheme: seamlessness & the Euler equations in two almost linear steps
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| Note: (in presence) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
|
| Christian Kühnlein |
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Wed, 17. Aug 22, 16:00 |
| Developing a performance-portable finite-volume model for numerical weather prediction) |
| Note: (remote) |
- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: Workshop on "Seamless numerics for geophysical flow models" (2022)
|
| Rupert Klein (FU Berlin) |
Hörsaal 2 ”Eduard Suess” 2A122, 1 st floor UZA II, “Geozentrum”, Josef-Holaubek Platz 2, 1090 Wien |
Mon, 12. Dec 22, 15:30 |
| Mathematics, a key to Climate Research |
Abstract: Mathematics in climate research is often thought to be mainly a provider of techniques for solving, e.g., the atmosphere and ocean flow equations. Three examples elucidate that its role is much broader and deeper:
1) Climate modelers often employ reduced forms of “the flow equations” for efficiency. Mathematical analysis helps assessing the regimes of validity of such models and defining conditions under which they can be solved robustly.
2) Climate is defined as “weather statistics”, and climate research investigates its change in time in our “single realization of Earth” with all its complexity. The required reliable notions of time dependent statistics for sparse data in high dimensions, however, remain to be established. Recent math- ematical research offers advanced data analysis techniques that could be “game changing” in this respect.
3) Climate research, economy, and the social sciences are to generate a scientific basis for informed political decision making. Subtle misunderstandings often hamper systematic progress in this area. Mathematical for- malization can help structuring discussions and bridging language barriers in interdisciplinary research. |
Note: Click here for further information
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- Thematic program: Models in Plasmas, Earth and Space Science (2022/2023)
- Event: 22. Pauli Colloquium on "Mathematics for Climate research":;
Rupert Klein (FU Berlin) (2022)
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