RCM forcing data from MPI-ESM (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP5 experiments
Acronym
CMIP5_RCM_forcing_MPI-ESM
Name
RCM forcing data from MPI-ESM (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP5 experiments
Description
This project provides variables from MPI-ESM (ECHAM6/JSBACH/MPIOM/HAMOCC) experiments performed at DKRZ in the context of the CMIP5 activities. The CMIP5 experiments are described at http://cmip-pcmdi.llnl.gov/cmip5/experiment_design.html .
Essential variables for regional climate modelling are available. They are stored in native GRIB-format (e.g. spectral).
The CMIP5 experiments have been performed with various model versions of MPI-ESM.
The low-resolution version MPI-ESM-LR has been run with T63L47 (192 x 96 gridpoints; 47 vertical layers) for ECHAM6/JSBACH and GR15 (ca. 1.5 deg) of MPIOM/HAMOCC.
The mixed-resolution version MPI-ESM-MR has been run with T63L95 (192 x 96 gridpoints; 95 vertical layers) for ECHAM6/JSBACH and TP04 (tripolar grid, ca. 0.4 deg) of MPIOM/HAMOCC.
CMIP5 ensemble members are named 'rNiNpN':
rN is the realisation, iN is the initialisation method, and pN stands for the parametrisation or physics variant of the experiment.
Experiments wich differ only in their realisation numbers differ only with respect to their restart files.
For each experiment-member five datasets are provided:
1 .._rcm_c5 contains: divergence, vorticity, and air temperature
2 .._rcm_c5_133 contains: specific_humidity and surface pressure
3 .._rcm_etc contains: cloud water/ice; land/sea surface - and ice temperature; sea ice thickness/area fraction; soil moisture content; snow thickness on sea ice
4 .._rcm_land contains: temperature (5 soil levels)
5 .._rcm_fx contains: land/sea - and glacier mask, orographie (as geopotential) and soil moisture at field capacity .
Abbreviatons in the dataset-acronyms: echam6: eh6 jsbach: jsb
The CMIP5 requested variables of table '6hrLev' are contained in the first and second dataset.
However, ua and va have to be calculated from divergence and vorticity (e.g. with 'cdo dv2uv ...').
Spectral to gridpoint transformation can be done with 'cdo sp2gp ...'.