de.dkrz.wdcc.iso2005307 series EH4_OPYC_SRES_A2 Dr. Martin Stendel Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ author Torben Schmith Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ author Dr. Erich Roeckner Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ author Prof. Dr. Ulrich Cubasch Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ author Dr. Martin Stendel Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ pointOfContact Prof. Dr. Ulrich Cubasch Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ originator Dr. Martin Stendel Danish Meteorological Institute http://research.dmi.dk/ originator 2022-04-25T04:53:18 ISO 19115 ISO 19139 / DKRZ ISO Simple Profile V1.0 http://doi.org/doi:10.1594/WDCC/EH4_OPYC_SRES_A2 ECHAM4_OPYC_SRES_A2: 110 YEARS COUPLED A2 RUN 6H VALUES ECHAM4_OPYC_SRES_A2: 110 YEARS COUPLED A2 RUN 6H VALUES 2003-01-26 creation None ECHAM4_OPYC_SRES_A2: 110 YEARS COUPLED A2 RUN 6H VALUES doi:10.1594/WDCC/EH4_OPYC_SRES_A2 Prof. Dr. Ulrich Cubasch Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ originator Dr. Martin Stendel Danish Meteorological Institute http://research.dmi.dk/ originator doi:10.1594/WDCC/EH4_OPYC_SRES_A2 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 of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmospheric component is the standard model version of a 19-level hybrid sigma-pressure coordinate system. The ocean component is a model which computes with isopycnal coordinates. ECHAM4/OPYC3(http://ipcc-data.org/gcm/models/tar/echam4opyc3.html ). This data set is an enlargement of the IPCC data set and provides additional meteorological parameters. The run produces 6h values of the variables. ECHAM4/OPYC3 (http://ipcc-data.org/gcm/models/tar/echam4opyc3.html ). Changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. The model run starts in 1990 from the results of the scenario run GSDIO (Experiment EH4OPYC_22723GSDIO) which has been run with observed conditions for the time periode 1860 to 1990. Dr. Martin Stendel Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ author Torben Schmith Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ author Dr. Erich Roeckner Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ author Prof. Dr. Ulrich Cubasch Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ author Dr. Martin Stendel Max-Planck-Institut fuer Meteorologie (MD) http://www.mad.zmaw.de/ pointOfContact ECHAM4 theme OPYC theme SRES-A2 theme climate simulation theme eng 0.0 360.0 -90.0 90.0 0130-01-01 0240-12-30 159840 0130-01-01 0240-12-30 78840 SO4 modelResult kg(sulph)/kg(air) SO4 modelResult kg(sulph)/kg(air) air_pressure_at_convective_cloud_top modelResult Pa air_pressure_at_sea_level modelResult Pa air_temperature modelResult K air_temperature modelResult K air_temperature modelResult K air_temperature modelResult K area_fraction modelResult fraction atmosphere_eastward_stress_due_to_gravity_wave_drag modelResult Pa atmosphere_horizontal_streamfunction modelResult m2 s-1 atmosphere_horizontal_velocity_potential modelResult m2 s-1 atmosphere_mass_content_of_cloud_liquid_water modelResult kg m-2 atmosphere_northward_stress_due_to_gravity_wave_drag modelResult Pa atmosphere_relative_vorticity modelResult s-1 atmosphere_sulfate_content modelResult kg m-2 atmosphere_water_vapor_content modelResult kg m-2 cloud_area_fraction modelResult fraction cloud_area_fraction_in_atmosphere_layer modelResult fraction cloud_liquid_water_mixing_ratio modelResult kg kg-1 dew_point_temperature modelResult K dissipation_in_atmosphere_boundary_layer modelResult W m-2 divergence_of_wind modelResult s-1 eastward_wind modelResult m s-1 eastward_wind modelResult m s-1 floating_ice_thickness modelResult m geopotential_height modelResult gpm gravity modelResult W m-2 humidity_mixing_ratio modelResult kg kg-1 lagrangian_tendency_of_air_pressure modelResult Pa s-1 land modelResult W m-2 land_binary_mask modelResult 1 lwe_convective_precipitation_rate modelResult m s-1 lwe_large_scale_precipitation_rate modelResult m s-1 lwe_snowfall_rate modelResult m s-1 lwe_thickness_of_surface_snow_amount modelResult m lwe_thickness_of_surface_snow_amount modelResult m lwe_water_evaporation_rate modelResult m s-1 minus_one_times_surface_upwelling_longwave_flux_in_air modelResult W m-2 minus_one_times_surface_upwelling_shortwave_flux_in_air modelResult W m-2 minus_one_times_toa_outgoing_shortwave_flux modelResult W m-2 northward_wind modelResult m s-1 northward_wind modelResult m s-1 precipitation_rate modelResult m s-1 relative_humidity modelResult fraction runoff_flux modelResult m s-1 sea modelResult K sea_ice_temperature modelResult K sea_surface_temperature modelResult K skin_reservoir_water_content modelResult m snow_temperature modelResult K soil_moisture_content modelResult m soil_temperature modelResult K soil_temperature modelResult K soil_temperature modelResult K soil_temperature modelResult K soil_temperature modelResult K surface modelResult W m-2 surface modelResult W m-2 surface_air_pressure modelResult Pa surface_air_pressure_log modelResult none surface_albedo modelResult fraction surface_albedo modelResult fraction surface_downward_eastward_stress modelResult Pa surface_downward_heat_flux_in_air modelResult W m-2 surface_downward_heat_flux_in_air modelResult W m-2 surface_downward_latent_heat_flux modelResult W m-2 surface_downward_northward_stress modelResult Pa surface_downward_sensible_heat_flux modelResult W m-2 surface_geopotential modelResult m2 s-2 surface_net_downward_longwave_flux modelResult W m-2 surface_net_downward_longwave_flux_assuming_clear_sky modelResult W m-2 surface_net_downward_shortwave_flux modelResult W m-2 surface_net_downward_shortwave_flux_assuming_clear_sky modelResult W m-2 surface_roughness_length modelResult m surface_snow_melt_flux modelResult m s-1 surface_temperature modelResult K surface_temperature modelResult K surface_temperature modelResult K surface_temperature modelResult K surface_temperature modelResult K tendency_of_atmosphere_mass_content_of_natural_sulfur_dioxide_due_to_emission modelResult kg m-2 yr-1 tendency_of_atmosphere_mass_content_of_sulfur_dioxide_due_to_emission modelResult kg m-2 yr-1 tendency_of_surface_snow_amount modelResult m s-1 thermal modelResult W m-2 thermal modelResult W m-2 toa_net_downward_longwave_flux modelResult W m-2 toa_net_downward_longwave_flux_assuming_clear_sky modelResult W m-2 toa_net_downward_shortwave_flux modelResult W m-2 toa_net_downward_shortwave_flux_assuming_clear_sky modelResult W m-2 top modelResult W m-2 top modelResult W m-2 total modelResult kg m-2 yr-1 total modelResult kg m-2 ustar modelResult m3 s-3 vertical modelResult kg m-2 water_flux_into_sea_water_from_rivers modelResult m3 s-1 wind_speed modelResult m s-1 wind_speed modelResult m s-1 wind_speed modelResult m s-1 GRIB WMO format GRIdded Binary data distributor Mb 824067 http://doi.org/doi:10.1594/WDCC/EH4_OPYC_SRES_A2 series