Climate Change Scenarios:
IPCC story lines, models, downscaling
ECHAM5 is the 5th generation of the ECHAM general circulation model developed at the
Max Planck Institute for Meteorology in Hamburg evolving originally from the spectral
weather prediction model of the European Centre for Medium Range Weather Forecasts
(ECMWF; Simmons et al. (1989)), which can be configured to resolve the atmosphere
up to 10 hPa for tropospheric studies, or up to 0.01 hPa for middle atmosphere studies.
The Max-Planck- Institute ocean model (MPIOM) is the ocean- sea ice component of
the Max-Planck- Institute climate model (Roeckner et al., 2006; Jungclaus et al., 2006).
MPIOM is a primitive equation model (C-Grid, z- coordinates, free surface)
with the hydrostatic and Boussinesq assumptions. It includes an embedded dynamic/ thermodynamic
sea ice model with a viscous- plastic rheology following Hibler (1979) and a bottom boundary layer
scheme for the flow across steep topography. A model description can be found at Marsland et al. (2003).
IPCC AR4 SRES scenarios data overview and results:
Data output is available at: http://cera-www.dkrz.de/
Model Homepage: http://www.ccsm.ucar.edu/models/ccsm3.0/
Overview of experiments can be found at:
CCSM3 output data is disseminated via the Earth System Grid (ESG): https://www.earthsystemgrid.org/
PRUDENCE project for European Climate Change
The Prediction of Regional scenarios and Uncertainties for Defining European Climate change risks and Effects (PRUDENCE) project involved more than 20 European research groups. The main objectives of the project were to provide dynamically downscaled high-resolution climate change scenarios for Europe at the end of the 21st century, and to explore the uncertainty in these projections. Four sources of uncertainty were studied:
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