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Simulations of global high-resolution climate and weather models in production mode (D1.1)

Authors: Serradell, Kim; Dueben, Peter; Castrillo, Miguel; Valcke, Sophie; Caubel, Arnaud; Meurdesoif, Yann; Duras, Julia; +8 Authors

Simulations of global high-resolution climate and weather models in production mode (D1.1)

Abstract

The central objective of work package 1 of ESiWACE2 is to develop and run coupled model simulations at a resolution as high as possible and with a throughput rate of at least one simulated year per day (1 SYPD) producing full model output. This throughput would be sufficient to use these simulations for operational weather predictions and potentially also to run the models for a couple of decades, to address scientific questions that are related to climate change. Four model configurations are considered (EC-Earth with OpenIFS coupled to NEMO, the Integrated Forecasting System (IFS) coupled to NEMO, the ICON model with both atmosphere and ocean, the DYNAMICO model coupled to NEMO) covering both weather and climate configurations as well as well-established models and models that are currently under development. Furthermore, Ocean-only simulations with the NEMO models are also pushed to high spatial resolution (1/36 degree; ~3 km). This deliverable will give an overview of the main components and algorithms that are used by the different models and outline challenges for the use of pre-exascale machines for weather and climate simulations at very high resolution. The document also includes scalability plots when running the various models on several supercomputers. Furthermore, the efforts in work package 1 regarding the coupling infrastructure and model in- and output (I/O) will be described.

Keywords

weather, hpc, ESiWACE2, ESiWACE, climate

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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