Reanalysis of the chemical composition of the troposphere for the period 1980-2005 using the chemistry aerosol general circulation model ECHAM5-HAMMOZ. The global composition of the troposphere is highly
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
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
Global paleoclimate simulations are carried out on the basis of the so-called time slice technique. The simulations are performed with the state-of-the-art global circulation model ECHAM5 (Roeckner et
Global HAPPI-MIP protocol data based on the ECHAM6.3 [1] AGCM developed by the MPI-M (Max Planck Institute for Meteorology). This CERA experiment includes data of 100 AMIP simulations of the period 2006-2015,
Road traffic emissions of nitrogen oxides (NOx), carbon monooxide (CO) and volatile organic compounds (VOC) influence the concentration of ozone (O3) and methane (CH4) in the atmosphere. These greenhouse
PDRMIP is a climate model intercomparison project that ran from the end of 2013 until completion in 2021. In PDRMIP a number of different climate models have been used to explore whether differences in
The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme
The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions
Assimilation of Instrumental Observations, Historical Climate Indices and Tree-Ring Data into an Atmospheric General Circulation Model in the Period 1600 to 2000
One of the backbones of numerical weather
The ENSEMBLES project (contract number GOCE-CT-2003-505539) is supported by the European Commission"s 6th Framework Programme as a 5 year Integrated Project from 2004-2009 under the Thematic Sub-Priority
A high resolution (0.088 deg., ~10 km) climate simulation has been performed for Germany, Austria and Switzerland using the regional climate model REMO by the German Federal Institute of Hydrology and
The consortial project ESCiMo targets on coupled chemistry-climate-simulations using version 2.51 of the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System
Please note that data representing a warmer future climate are flawed by the use of incorrect sea ice coverage data. All data of the 1.5°C and the 2.0°C experiment of this CERA experiment have been replaced
The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO and
UNEP to assess scientific, technical and socio-economic information, relevant
for the understanding of climate change,
These regional climate simulations have been funded by the BMBF and computed at DKRZ by the group "Model and Data" of MPI-M, Hamburg, in close cooperation with BTU Cottbus, HZG Geesthacht and PIK Potsdam.
The STAR II-Model was developed at the Potsdam-Insitute for Climate Impact Research (PIK - www.pik-potsdam.de). The actual version (2008) of the model is used in different scientific projects at home
Three high resolution regional IPCC scenarios (A2, A1B and B1) for Germany, Austria and Switzerland have been performed using the regional climate model REMO driven by results from the coupled ocean atmosphere
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
QUIRCS ist ein Verbundprojekt im deutschen Klimaforschungsschwerpunkt DEKLIM. Das primaere Ziel von QUIRCS ist die Erzeugung und Absicherung eines moeglichen regionalen Klimaszenarios fuer Mitteleuropa
Intention of the ECHAM3_T42_7000Xanom-experiments: Geological evidence points to a global Younger Dryas (YD) climatic oscillation during the last glacial/present interglacial transition phase. A convincing
In order to explore the sensitivity of the climate impact of volcanic eruptions to eruption season and latitude, we simulate volcanic eruptions at different latitudes and in different seasons with the
The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES-A2 storyline describes a very heterogeneous world with the underlying theme
The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions
The data represent 6 hourly values of pre-industrial climate simulation. Here, for the year 1860, concentrations of well mixed greenhouse gases (CO2, CH4, N2O) were prescribed. Ocean data (MPI-OM) are
The data represent monthly average values of pre-industrial climate simulation. Here, for the year 1860, concentrations of well mixed greenhouse gases (CO2, CH4, N2O) were prescribed. Ocean data (MPI-OM)
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2
The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1
The data represent 6 hours values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B
The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk)
The data represent 6 hourly values of a 20th century simulation (including year 2000) with observed anthropogenic forcings(CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2190 of the preindustrial
The data represent monthly average values of a 20th century simulation (including year 2000) with observed anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2190 of the preindustrial
The data represent 6 hourly values of a 20th century simulation (including year 2000) with observed anthropogenic forcings(CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2240 of the preindustrial
The data represent monthly average values of a 20th century simulation (including year 2000)with observed anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2240 of the preindustrial