Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System
Global simulations with 1.45 km grid spacing are presented that were performed using the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). Simulations are uncoupled (without ocean, sea ice, or wave model), using 62 or 137 vertical levels and the f...
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ftethz:oai:www.research-collection.ethz.ch:20.500.11850/425651 2023-05-15T18:18:34+02:00 Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System Dueben, Peter D. Wedi, Nils Saarinen, Sarni Zeman, Christian 2020-06-20 application/application/pdf https://hdl.handle.net/20.500.11850/425651 https://doi.org/10.3929/ethz-b-000425651 en eng Meteorological Society of Japan info:eu-repo/semantics/altIdentifier/doi/10.2151/jmsj.2020-016 info:eu-repo/semantics/altIdentifier/wos/000542942500009 info:eu-repo/grantAgreement/EC/H2020/823988 http://hdl.handle.net/20.500.11850/425651 doi:10.3929/ethz-b-000425651 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International CC-BY Journal of the Meteorological Society of Japan, 98 (3) Global cloud-resolving modelling Global storm-resolving modelling Hydrostatic equations High-performance computing Scalability info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2020 ftethz https://doi.org/20.500.11850/425651 https://doi.org/10.3929/ethz-b-000425651 https://doi.org/10.2151/jmsj.2020-016 2022-04-25T14:11:11Z Global simulations with 1.45 km grid spacing are presented that were performed using the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). Simulations are uncoupled (without ocean, sea ice, or wave model), using 62 or 137 vertical levels and the full complexity of weather forecast simulations is presented, including recent date initial conditions, real-world topography, and state-of-the-art physical parametrizations, as well as diabatic forcing including shallow convection, turbulent diffusion, radiation and five categories for the water substance (vapor, liquid, ice, rain, and snow). Simulations are evaluated with regard to computational efficiency and model fidelity. Scaling results are presented, which were performed on the fastest supercomputer in Europe, Piz Daint (Top 500, November 2018). Important choices for the model configuration at this unprecedented resolution for the IFS are discussed such as the use of hydrostatic and non-hydrostatic equations or the time resolution of physical phenomena which is defined by the length of the time step. Our simulations indicate that the IFS model—based on spectral transforms with a semi-implicit, semi-Lagrangian time stepping scheme in contrast to more local discretization techniques—can provide a meaningful baseline reference for O(1) km global simulations. ISSN:0026-1165 Article in Journal/Newspaper Sea ice ETH Zürich Research Collection |
institution |
Open Polar |
collection |
ETH Zürich Research Collection |
op_collection_id |
ftethz |
language |
English |
topic |
Global cloud-resolving modelling Global storm-resolving modelling Hydrostatic equations High-performance computing Scalability |
spellingShingle |
Global cloud-resolving modelling Global storm-resolving modelling Hydrostatic equations High-performance computing Scalability Dueben, Peter D. Wedi, Nils Saarinen, Sarni Zeman, Christian Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System |
topic_facet |
Global cloud-resolving modelling Global storm-resolving modelling Hydrostatic equations High-performance computing Scalability |
description |
Global simulations with 1.45 km grid spacing are presented that were performed using the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). Simulations are uncoupled (without ocean, sea ice, or wave model), using 62 or 137 vertical levels and the full complexity of weather forecast simulations is presented, including recent date initial conditions, real-world topography, and state-of-the-art physical parametrizations, as well as diabatic forcing including shallow convection, turbulent diffusion, radiation and five categories for the water substance (vapor, liquid, ice, rain, and snow). Simulations are evaluated with regard to computational efficiency and model fidelity. Scaling results are presented, which were performed on the fastest supercomputer in Europe, Piz Daint (Top 500, November 2018). Important choices for the model configuration at this unprecedented resolution for the IFS are discussed such as the use of hydrostatic and non-hydrostatic equations or the time resolution of physical phenomena which is defined by the length of the time step. Our simulations indicate that the IFS model—based on spectral transforms with a semi-implicit, semi-Lagrangian time stepping scheme in contrast to more local discretization techniques—can provide a meaningful baseline reference for O(1) km global simulations. ISSN:0026-1165 |
format |
Article in Journal/Newspaper |
author |
Dueben, Peter D. Wedi, Nils Saarinen, Sarni Zeman, Christian |
author_facet |
Dueben, Peter D. Wedi, Nils Saarinen, Sarni Zeman, Christian |
author_sort |
Dueben, Peter D. |
title |
Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System |
title_short |
Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System |
title_full |
Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System |
title_fullStr |
Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System |
title_full_unstemmed |
Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System |
title_sort |
global simulations of the atmosphere at 1.45 km grid-spacing with the integrated forecasting system |
publisher |
Meteorological Society of Japan |
publishDate |
2020 |
url |
https://hdl.handle.net/20.500.11850/425651 https://doi.org/10.3929/ethz-b-000425651 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Journal of the Meteorological Society of Japan, 98 (3) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.2151/jmsj.2020-016 info:eu-repo/semantics/altIdentifier/wos/000542942500009 info:eu-repo/grantAgreement/EC/H2020/823988 http://hdl.handle.net/20.500.11850/425651 doi:10.3929/ethz-b-000425651 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/20.500.11850/425651 https://doi.org/10.3929/ethz-b-000425651 https://doi.org/10.2151/jmsj.2020-016 |
_version_ |
1766195183978807296 |