CERA project information for RCM forcing data from MPI-ESM1-2 (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP6 experiments
RCM forcing data from MPI-ESM1-2 (ECHAM6/JSBACH/MPIOM/HAMOCC) CMIP6 experiments
This project provides variables from MPI-ESM1-2 CMIP6 experiments performed by DKRZ, MPI-M and DWD in the context of the BMBF funded CMIP6 DICAD project (FKZ 01LP1605A). The experiments are described at https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6 .
Essential variables for regional climate modelling (RCM) are available. They are stored in native GRIB-format (e.g. spectral).
The CMIP6 experiments have been performed with various model versions of MPI-ESM1-2.
The low-resolution version MPI-ESM1-2-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 high-resolution version MPI-ESM1-2-HR has been run with T127L95 (384 x 192 gridpoints; 95 vertical layers) for ECHAM6/JSBACH and TP04 (tripolar grid, ca. 0.4 deg) of MPIOM/HAMOCC.
CMIP6 ensemble members are named 'rNiNpNfN':
rN is the realisation, iN is the initialisation method, pN stands for the parametrisation or physics variant and fN stands for the forcing variant of the experiment.
Different experiment realisations (rN) differ 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 variables of frequency 6hrPt on model levels 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 ...'.