2020•Unpublished venueOpen access
CMIP6 ScenarioMIP DKRZ MPI-ESM1-2-HR ssp245 - RCM-forcing data
Martin Schupfner, Karl‐Hermann Wieners, Fabian Wachsmann, Christian Steger, Matthias Bittner, Johann H. Jungclaus, Barbara Früh, Klaus Pankatz, M. A. Giorgetta, Christian H. Reick, Stephanie Legutke, Monika Esch, Veronika Gayler, Helmuth Haak, Philipp de Vrese, Thomas Jürgen Raddatz, Thorsten Mauritsen, Jin‐Song von Storch, Jörg Behrens, Victor A. Brovkin, Martin A. Claussen, Traute Crueger, Irina Fast, Stephanie Fiedler, Stefan Hagemann, Cathy Hohenegger, Thomas M. Jahns, Silvia Kloster, Stefan Kinne, Gitta Lasslop, Luis Kornblueh, Jochem Marotzke, Daniela Matei, Katharina Meraner, Uwe Mikolajewicz, Kameswarrao Modali, Wolfgang A. Müller, Julia E. M. S. Nabel, Dirk Notz, Karsten Peters, Robert L. Pincus, Holger Pohlmann, Julia Pongratz, Sebastian Rast, Hauke Schmidt, Reiner Schnur, Uwe Schulzweida, Katharina Dorothea Six, Björn Stevens, Aiko Voigt, E. Roeckner
Abstract
Project: 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 ...'. Summary: RCM forcing data from 2 realisations (r*i1p1f1) of the CMIP6/ScenarioMIP experiment ssp245, conducted with the MPI-ESM1-2-HR on the Mistral supercomputer of the DKRZ. The experiment covers the years 2015 to 2100 and branches from realisations of the CMIP6/CMIP historical experiment. The file format is gzip-compressed GRIB (*.grb.gz). ScenarioMIP website: https://cmip.ucar.edu/scenario-mip ScenarioMIP paper: https://doi.org/10.5194/gmd-9-3461-2016 Experiment description ssp245: SSP-based RCP scenario with medium radiative forcing by the end of the century. Following approximately RCP4.5 global forcing pathway with SSP2 socioeconomic conditions. Radiative forcing reaches a level of 4.5 W/m2 in 2100. Concentration-driven.