Earth System Chemistry Integrated Modelling (ESCiMo) / Chemistry-Climate Modelling Initiative (CCMI)

Acronym
ESCiMo
Name
Earth System Chemistry Integrated Modelling (ESCiMo) / Chemistry-Climate Modelling Initiative (CCMI)
Description
The consortial project ESCiMo targets on coupled chemistry-climate-simulations using version 2.51 of the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model.
The experiments are related to challenges of the DFG-Forschergruppe SHARP (Stratospheric Change and its Role for Climate Prediction) and the international IGAC/SPARC Chemistry-Climate Modelling Initiative (CCMI).
The focus is on upcoming problems like climate change, ozone depletion, and air quality.
The project aims on answering emerging questions of scientific, social and political relevance.
Three types of reference simulations, as recommended by CCMI, have been performed: hindcast simulations (1950–2011), hindcast simulations with specified dynamics (1979–2013), i.e. nudged towards ECMWF ERA-Interim reanalysis data, and combined hindcast and projection simulations (1950–2100).
Simulations have been performed with two different nudging setups, with and without interactive tropospheric aerosol, and with and without a coupled ocean model. Two different vertical resolutions have been applied. For further information see:
- Jöckel et al., 2016: doi:10.5194/gmd-9-1153-2016
- Morgenstern et al., doi:10.5194/gmd-10-639-2017
- http://www.pa.op.dlr.de/~PatrickJoeckel/ESCiMo/
Simulations have been performed with two different nudging setups, with and without interactive tropospheric aerosol, and with and without a coupled ocean model. Two different vertical resolutions have been applied. The EMAC simulations have been performed at the DKRZ through support from BMBF. DKRZ and its scientific steering committee are gratefully acknowledged for providing the HPC and data archiving resources for the consortial project ESCiMo (Earth System Chemistry integrated Modelling).

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