CERA project information for IPCC 4th assessment report simulations with the ECHO-G climate model

Acronym
IPCC-AR4_ECHO-G
Name
IPCC 4th assessment report simulations with the ECHO-G climate model
Description
The project embrases the simulations with the coupled climate model ECHO-G, relevant for the 4th assessment report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The report is prepared in order to assess scientific, technical, and socio-economic information, relevant for the understanding of climate change, of its potential impacts, and of options for adaption and migration. Emission Scenarios (SRES) have been constructed by the IPCC to explore future developments in the global enviroment with special reference to the production of greenhouse gases and aerosol precursor emissions. The project includes SRES A1B, A2, and B1 simulations with preindustrial Green House Gas (GHG) concentrations representative for 1860 (PIcntrl), with present day (1990) GHG concentrations (PDcntrl), with CO2 concentrations increasing by 1% per year until a doupling of CO2 concentrations relativ to 1990 (1%_to2x), with CO2 concentrations increasing by 1% per year until a quadrupling of CO2 concentrations relativ to 1990 (1%_to4x), simulations of the 20th century (20C3M), and simulations continuing the 20C3M experiments with GHG concentrations fixed at their values at the end of the year 2000. The atmospheric component of ECHO-G is ECHAM4 T30 which has an interactive sulfur cycle model embedded for the experiments exept for PDcntrl, 1%_to2x and 1%_4x. The ocean model is HOPE-G T42er which includes a dynamic - thermodynamic sea-ice model. Flux adjustments, constant in time and globally normalized to zero, are applied for heat and freshwater fluxes into the ocean. The simulations were run on NEC SX-6 machines at DKRZ (German Climate Computing Centre) and NEC SX-6 machines at KISTI (Korea Institute of Science and Technology Information) by scientists of the Meteorological Institute of the University of BONN (MIUB), of the Model and Data group at the MPI in Hamburg (MaD), and of the Korean Meteorological Research Institute KMA (METRI).

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