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Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

Project: IPCC Assessment Report Four ECHAM5/MPIOM data sets - The project embraces the simulations with the coupled climate model ECHAM5/MPIOM, relevant for the 4th Assessment Report (AR4, http://www.ipcc.ch/ipccreports/assessments-reports.htm ) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and options for adaptation and mitigation. A more detailed description about the work of the IPCC can be found at the IPCC homepage ( http://www.ipcc.ch ) and at ( www.grida.no/climate/ipcc ). As a further development the Special Report on Emission Scenarios (SRES, http://www.grida.no/Climate/ipcc/emission/) have been constructed, to describe (potential) future developments in the global environment with special reference to the production of greenhouse gases and to aerosol precursor emissions. A set of four scenario families (A1, A2, B1, B2) have been developed (see also http://www.grida.no/climate/ipcc/emission/index.htm ) The model output data are available at the World Data Center for Climate, Hamburg.( wdc-climate.de ).Projection of future trends based on selected emission scenarios are provided through this project for a great many model variables of ECHAM5/MPIOM . For a selected set of variables the IDCC-Data Distribution Center provides additional data sets from a multitude of models that contribute to the IPCC-AR4 report (project: IPCC_DDC_AR4). Summary: 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 A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2300 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run223

Project: Climate change at the end of a warm stage - DEKLIM-EEM is a joint project consisting out of 9 individual proposals. The project was financially supported by the German Ministry for Education and Research(BMBF) within the framework of the research programme DEKLIM (www.deklim.de). The purpose of the joint project is to reconstruct the climate of past interglacials and to contribute to the understanding of mechanism that are responsible for the transition to a cold stage. This project was coordinated by the Institute for Geosciences, University of Mainz. A description of all individual proposals can be found at: http://www.uni-mainz.de/FB/Geo/Geologie/sedi/index.html The datasets in the CERA database are the results of the project contributions of the Model and Data Group at the Max-Planck-Institute for Meteorology and the Institute for Meteorology at the FU Berlin. The coupled atmosphere-ocean general circulation model ECHO-G has been used to perform climate simulations of the Eemian interglacial (125,000 years before present) and the subsequent glacial inception (115,000 years before present) by adapting Earth s orbital parameters and greenhouse gas concentrations to conditions of these periods. A simulation of pre-industrial climate is available for comparison. Summary: The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the climate of the Last Interglacial (LIG) at 125000 years before present (Eemian). Boundary conditions are the same as in the preindustrial control run (ECHOG_A15_PRI), apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 270ppmV CO2, 0.63 ppmV CH4 and 260 ppbV N2O. CFCs are set to zero. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.04; Obliquity: 23.79; Precession: 127.3. The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model (ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6 (hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: - ECHOG_A40_LGI: control run, last glacial inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values - ECHOG_A15_PRI preindustrial control run (ca. 1800 A.D., DEKLIM-EEM project), started with Levitus climatology, monthly mean values.

Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: amipFuture is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. amipFuture (6.6 AMIP plus patterned anomaly) - Version 2: Consistent with CFMIP requirements, add a patterned SST perturbation to the AMIP SSTs of expt. 3.3 (which is the 'control' for this run). Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

Dataset abstract Aerosol particles come from a variety of sources: a look at the chemical composition gives insights on the particle origin. Ion chromatography was performed for aerosol particles smaller than 10 micrometers (PM10 inlet), giving concentrations of sodium and chloride, as well as particulate methylsulfonic acid (MSA). For this, aerosol particles where sampled on quartz fibre filters for 24 hours each. The sampled filters were stored at -20 degrees C on the research vessel, transported frozen back to the chemistry lab of TROPOS and analysed for main ions. Temporal coverage is from December 20, 2016 to March 20, 2017. We give 24-hour quality controlled particulate MSA, sodium and chloride concentrations in microgram per cubic meter for the Antarctic Circumnavigation Expedition (ACE) cruise over the Southern Ocean, as part of the ACE-SPACE project. Dataset contents ACESPACE_ particulate_MSA_Sodium_Chloride_PM10, data file, comma-separated values data_file_header, metadata, text format README.txt, metadata, text format {"references": ["van Pinxteren, M., Barthel, S., Fomba, K., M\u00fcller, K., von T\u00fcmpling, W., and Herrmann, H.: The influence of environmental drivers on the enrichment of organic carbon in the sea surface microlayer and in submicron aerosol particles \u2013 measurements from the Atlantic Ocean, Elem Sci Anth, 5, https://doi.org/10.1525/elementa.225, 2017.", "Fernando P\u00e9rez, Brian E. Granger, IPython: A System for Interactive Scientific Computing, Computing in Science and Engineering, vol. 9, no. 3, pp. 21-29, May/June 2007, doi:10.1109/MCSE.2007.53"]} The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. We acknowledge funding from DFG within SPP 1158 (Grant no. STR 453/12-1).

Enables users to browse the location and view related details for thousands of known fossil occurrence sites in British Columbia. Over time, knowledge of fossil resources in the province will increase, allowing for the map and associated database to be refined.

Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'rcp45' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (http://cmip-pcmdi.llnl.gov/cmip5/). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.1 rcp45 (4.1 RCP4.5) - Version 1: Future projection (2006-2100) forced by RCP4.5. RCP4.5 is a representative concentration pathway which approximately results in a radiative forcing of 4.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.

Project: IPCC Assessment Report Four ECHAM5/MPIOM data sets - The project embraces the simulations with the coupled climate model ECHAM5/MPIOM, relevant for the 4th Assessment Report (AR4, http://www.ipcc.ch/ipccreports/assessments-reports.htm ) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and options for adaptation and mitigation. A more detailed description about the work of the IPCC can be found at the IPCC homepage ( http://www.ipcc.ch ) and at ( www.grida.no/climate/ipcc ). As a further development the Special Report on Emission Scenarios (SRES, http://www.grida.no/Climate/ipcc/emission/) have been constructed, to describe (potential) future developments in the global environment with special reference to the production of greenhouse gases and to aerosol precursor emissions. A set of four scenario families (A1, A2, B1, B2) have been developed (see also http://www.grida.no/climate/ipcc/emission/index.htm ) The model output data are available at the World Data Center for Climate, Hamburg.( wdc-climate.de ).Projection of future trends based on selected emission scenarios are provided through this project for a great many model variables of ECHAM5/MPIOM . For a selected set of variables the IDCC-Data Distribution Center provides additional data sets from a multitude of models that contribute to the IPCC-AR4 report (project: IPCC_DDC_AR4). Summary: 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 control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of the year 2000. Data Sets with monthly mean values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run009 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_0 changed to 20C_1)

Project: Earth System Model Forcing and Verification - The project consolidates data entities which are suitable to force and/or to verify Earth system models. The archived data entities contain data and data products mainly from observations or reconstruction. The eVolv2k project is supported by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority programme “Antarctic Research with comparative investigations in Arctic ice areas” through grant TO 967/1-1. Summary: This dataset contains ice core-based estimates of volcanic stratospheric sulfur injections covering the years 500 BCE to 1900 CE. Ice core-derived volcanic sulfate deposition composites for Antarctica (Sigl et al., 2014) and Greenland (Sigl et al., 2015) are scaled to volcanic stratospheric sulfur injection based on a method similar to that of Gao et al., (2007). Sigl, M., Winstrup, M., McConnell, J. R., Welten, K. C., Plunkett, G., Ludlow, F., Büntgen, U., Caffee, M., Chellman, N., Dahl-Jensen, D., Fischer, H., Kipfstuhl, S., Kostick, C., Maselli, O. J., Mekhaldi, F., Mulvaney, R., Muscheler, R., Pasteris, D. R., Pilcher, J. R., Salzer, M., Schüpbach, S., Steffensen, J. P., Vinther, B. M. and Woodruff, T. E.: Timing and climate forcing of volcanic eruptions for the past 2,500 years, Nature, 523, 543-549, doi:10.1038/nature14565, 2015. Sigl, M., McConnell, J. R., Toohey, M., Curran, M., Das, S. B., Edwards, R., Isaksson, E., Kawamura, K., Kipfstuhl, S., Krüger, K., Layman, L., Maselli, O. J., Motizuki, Y., Motoyama, H., Pasteris, D. R. and Severi, M.: Insights from Antarctica on volcanic forcing during the Common Era, Nat. Clim. Chang., 4, 693-697, doi:10.1038/nclimate2293, 2014. Gao, C., Oman, L., Robock, A. and Stenchikov, G. L.: Atmospheric volcanic loading derived from bipolar ice cores: Accounting for the spatial distribution of volcanic deposition, J. Geophys. Res., 112(D9), doi:10.1029/2006JD007461, 2007.