Global sub-5km mesh Model Intercomparison (DYAMOND2) and Highlighted Experiments on Supercomputer Fugaku
Abstract
Several research groups around the world started to develop a new generation of Earth System Models (ESMs), which have the capability to resolve the vertical energy transport associated with deep convective clouds in the tropics, ocean eddies and sea-ice leads in the high latitudes. These models matured to a degree, that they can be evaluated and tested in inter-comparison projects. In the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) project, first a summer period with only atmospheric models, then a winter period with atmospheric and coupled models was simulated with several of this new generation models. These models are becoming a powerful tool for prediction at subseasonal to seasonal time-ranges which require skillful representation of fine-scale structures of atmosphere and ocean as well as planetary scale fluctuations. Moreover, first multi-year simulations with ESMs with horizontal resolutions finer than 5km are becoming reality and soon, full climate integrations will be not only possible, but also feasible. We will present results from the DYAMOND inter-comparison project, demonstrating their capabilities. We will also show results from large ensemble weather prediction attempts using a global storm-resolving model NICAM and its ocean-coupled version NICOCO.
DYAMOND data management was provided by the German Climate Computing Center (DKRZ) and supported through the projects ESiWACE and ESiWACE2. The projects ESiWACE and ESiWACE2 have received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements No 675191 and 823988. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project IDs bk1040 and bb1153.This work was partly supported by MEXT as "Program for Promoting Researches on the Supercomputer Fugaku" (JPMXP1020200305) and used computational resources of supercomputer Fugaku provided by the RIKEN Center for Computational Science (Project ID: hp200128, hp210166, hp220167).- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFM.A55S1374M