GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel
Wischhofstr. 1-3
24148 Kiel
Tel.: 0431 600-0
Fax: 0431 600-2805
E-mail: info(at)geomar.de
When? Thursday, 16. December 2021 at 3 pm
Where? ZOOM meeting room: https://geomar-de.zoom.us/j/87309742028?pwd=TzU4RnBFSEM3aGRiZlRQODQ1WEFRQT09
Meeting-ID: 873 0974 2028
Kenncode: 092319
Abstract:
The MPI-M has a long history in developing coupled climate and Earth System Models (ESM). The MPI-ESM 1.2 is the latest and last in its line and it contributed to CMIP6 and many other international projects in simulations of past, present and future climate. Considering new requirements for increasing and flexible resolution, improved conservation properties, and excellent scalability at high-performance computing systems, the Deutsche Wetterdienst (German Weather Service DWD), MPI-M, and several partner institutions have developed the Icosahedral Non-hydrostatic (ICON) model system. ICON is a framework for developments at various space and time scales, ranging from numerical weather prediction (NWP), coupled ocean-atmosphere simulations for climate-change studies, and regional models.
In recent years, the sub-models for ocean (ICON-O) and atmosphere (ICON-A) have been developed and combined with sea-ice, land, and ocean biogeochemistry models to form ICON-ESM for applications in “climate mode” i.e., at least century-long simulations at CMIP-typical resolution. While the first version of ICON-ESM relies on the physical parameterization inherited from the ECHAM model, a new development line at DWD and MPI-M will adapt the NWP physics to climate applications and implement a new ICON-Land sub-model and a data assimilation framework. The goal is to achieve “seamless” prediction capabilities from weather to decadal timescales.
Another focus area at MPI-M is the development of storm-resolving (SR) coupled models. SR refers to a resolution of a few kilometer (3-5 km) in both ocean and atmosphere and an ICON-O/ICON-A prototype is presently running at 5km resolution as part of the EU H2020 project NextGEMS and contributes to the DYAMOND model intercomparison project.