OPeNDAP Dataset Query Form

OPeNDAP Dataset Access Form

Action:
Data URL:

Global Attributes:	CDI: Climate Data Interface version 1.6.5.1 (http://code.zmaw.de/projects/cdi) Conventions: CF-1.5 number_of_grid_used: 12 uuidOfHGrid: 96865750-1dce-11b2-9969-d72c2fa229cf institution: Dataset created by Forschungszentrum Juelich GmbH (Research Center Juelich), IEK-8,Germany prepicon_conversion_tool: version $Rev: 763 $ history: Tue Apr 05 15:32:57 2016: cdo -s seldate,2091-04-01T00 tmp_remapped.nc tmp.nc Tue Apr 05 14:24:32 2016: cdo -s remapdis,r360x180 /pfs/imk/imk-asf/common/emissions_raw_data/accmip_interpolated_all_emissions_RCP26_CO_anthropogenic_2001-2100_0.5x0.5.nc tmp_remapped.nc Wed Apr 08 16:00:08 2015: cdo mergetime 2001/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2001_0.5x0.5.nc 2002/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2002_0.5x0.5.nc 2003/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2003_0.5x0.5.nc 2004/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2004_0.5x0.5.nc 2005/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2005_0.5x0.5.nc 2006/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2006_0.5x0.5.nc 2007/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2007_0.5x0.5.nc 2008/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2008_0.5x0.5.nc 2009/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2009_0.5x0.5.nc 2010/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2010_0.5x0.5.nc 2011/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2011_0.5x0.5.nc 2012/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2012_0.5x0.5.nc 2013/accmip_interpolated_emissions_RCP26_CO_anthropogenic_2013_0.5x0.5.nc 2012-12-12: added metadata and made data format CF-compliant, Angelika Heil 2011-03-24: creation of interpolated ACCMIP and RCP emission data by Angelika Heil source: The interpolated ACCMIP and RCP emission dataset contains monthly mean global emissions from 10 anthropogenic sectors and 2 biomass burning categories for the period 1850 to 2100. For the period 1850 to 2000, it is created from linear time interpolation of the decadal monthly mean historical ACCMIP (Atmospheric Chemistry and Climate Model Intercomparison Project) emissions. The historical ACCMIP dataset described in Lamarque et al. (2010) provides 0.5 degree horizontally gridded decadal monthly mean emissions for the years 1850 to 2000 as a best guess historical emission estimate constructed from a harmonised combination of existing regional and global inventories. For the period 2000 to 2100, this dataset is created from linear time interpolation of the future emission projections related to four different Representative Concentrations Pathways (RCPs), RCP2.6, RCP4.5 RCP6 and RCP8.5, described in the overview paper of van Vuuren et al. (2011). The numbers denote the radiative forcing target levels for the year 2100 of 2.6, 4.5, 6 and 8.5 W/m2, respectively, based on the forcing of greenhouse gases and other forcing agents. For more details, please also refer to RCP database at http://www.iiasa.ac.at/web-apps/tnt/RcpDb. The year 2000 historic ACCMIP emissions acted as a starting point (handshake year) for the development of these RCP emission scenarios. The RCP emission files are given for each decade until 2100, starting in the year 2000, with extra files for the year 2005. The decadal ACCMIP and RCP files are accessible from RCP database (Version 2.0) at http://www.iiasa.ac.at/web-apps/tnt/RcpDb. The database contains an identical copy of the latest version of the decadal files stored at ftp://ftp-ipcc.fz-juelich.de/pub/emissions/gridded_netcdf/decadal, see also ftp://ftp-ipcc.fz-juelich.de/pub/emissions/gridded_netcdf/release_history_gridded_netcdf.txt. In the historical decadal ACCMIP emission files, the anthropogenic and aircraft emissions represent the first year of the decade, while ship emissions represent the 5th year of the decade. The biomass burning emissions represent average conditions of the respective decade (e.g. 1980-1989 mean values are contained in the year 1980 file) except for the 2000 estimate which is calculated from the 1997-2006 average. The RCP scenario emissions are representative for the first year of the decade, except for the year 2005 RCP emissions (which are representative for the year 2005). The historic ACCMIP emissions and the RCP projections provide a seasonality only for the biomass burning emissions. In order to create monthly files for each year, linear time interpolation between the decades was performed for each sector taking into account the respective timestamp of the decadal ACCMIP and RCP emissions. In more detail, the decadal historic anthropogenic emissions and all RCP emissions were assigned to the first year of each decade while historic ship and biomass burning emissions were assigned to the 5th year of each decade. Emissions of the year 2000 are an exact copy of the year 2000 emissions contained in the historic decadal ACCMIP emissions dataset. The emissions of the year 2001, for example, were calculated from linear time interpolation between the decadal year 2000 ACCMIP emissions and the year 2005 RCP emissions. On a yearly global average, the interpolated anthropogenic ACCMIP and RCP8.5 emissions of the years 1980 to 2010 contained in this database are practically identical with the ACCMIP MACCity anthropogenic emissions described in Granier et al. (2011) (available at ECCAD GEIA database (http://eccad.sedoo.fr), see also http://accent.aero.jussieu.fr/MACC_metadata.php), which used a similar linear interpolation procedure. In contrast to this dataset, which has no seasonality for the anthropogenic emissions, the source-specific seasonality developed for the RETRO project (http://retro.enes.org/) was applied to each sector in the ACCMIP MACCity anthropogenic emissions. Both dataset differ by less than 0.1% in respect to their yearly global anthropogenic totals. The sector-wise relative difference in the yearly global totals is less than 0.3% except for ship emissions. Due to a different timestamp assigned to the historic ship emissions during the interpolation procedure, the relative difference reaches 20% in some years. Summary statistics of annual global total emissions per sector are available at ftp://ftp-ipcc.fz-juelich.de/pub/emissions/summary_statistics/. The interpolated anthropogenic ACCMIP and RCP8.5 emissions for the years 1850 and 1960 to 2010 contained in this database are identical with the AEROCOM-II ACCMIP hindcast emission source files available at http://aerocom.met.no/download/emissions/AEROCOM-II-ACCMIP/ (see also Diehl et al. (2012)). The AEROCOM-II ACCMIP source files comprise emissions for the species CO, CH4, NH3, SO2, BC, OC and NOx. AEROCOM-II ACCMIP hindcast emission source files for biomass burning emissions consist of ACCMIP MACCity biomass burning emission data for the period 1960 to 2008 (see below) and interpolated RCP8.5 biomass burning emissions from this dataset for the years 2009 and 2010. One key characteristic of biomass burning emissions is their strong interannual variability, which is not captured in this interpolated biomass burning emission dataset. If an explicit interannual variability of biomass burning emissions is of interest for a study, we recommend using the ACCMIP MACCity biomass burning emission data, available at ftp://ftp-ipcc.fz-juelich.de/pub/emissions/gridded_netcdf/ACCMIP_MACCity. The ACCMIP MACCity biomass burning emission data, which are available for the period 1960 to 2008, are the original data used to construct the decadal monthly mean ACCMIP biomass burning emissions, see also ftp://ftp-ipcc.fz-juelich.de/pub/emissions/gridded_netcdf/ACCMIP_MACCity/README.ACCMIP_MACCity.txt. All anthropogenic sectors are stored in the anthropogenic file, except for ship and aircraft emissions, which are kept in individual files. The two biomass burning sectors are kept in a separate biomass burning file. Please note that the number of sector variables contained in the anthropogenic files depends on the species. Please refer to ftp://ftp-ipcc.fz-juelich.de/pub/emissions/gridded_netcdf/ACCMIP_interpolated/README.ACCMIP_interpolated.txt for more details. title: Interpolated RCP8.5 Anthropogenic Emissions comment: The chemical formula of carbon monoxide is CO. references: Diehl, T., Heil, A., Chin, M., Pan, X., Streets, D., Schultz, M., and Kinne, S.: Anthropogenic, biomass burning, and volcanic emissions of black carbon, organic carbon, and SO2 from 1980 to 2010 for hindcast model experiments, Atmos. Chem. Phys. Discuss., 12, 24895-24954, doi:10.5194/acpd-12-24895-2012, 2012. Granier, C., Bessagnet, B., Bond, T., D.Angiola, A., van der Gon, H. D., Frost, G. J., Heil, A., Kaiser, J. W., Kinne, S., Klimont, Z., Kloster, S., Lamarque, J.-F., Liousse, C., Masui, T., Meleux, F., Mieville, A., Ohara, T., Raut, J. C., Riahi, K., Schultz, M. G., Smith, S. J., Thompson, A., van Aardenne, J., van der Werf, G. R., and van Vuuren, D. P.: Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980-2010 period, Climatic Change, 109, 163-190, doi:10.1007/s10584-011-0154-1, 2011. Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., Schultz, M. G., Shindell, D., Smith, S. J., Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M., Mahowald, N., McConnell, J. R., Naik, V., Riahi, K., and van Vuuren, D. P.: Historical (1850-2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application, Atmos. Chem. Phys., 10, 7017-7039, doi:10.5194/acp-10-7017-2010, 2010. van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J. F., Masui, T., Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The representative concentration pathways: an overview (2011). Climatic Change, 109, 5-31, doi:10.1007/s10584-011-0148-z contact: Angelika Heil, a.heil@fz-juelich.de; Martin G. Schultz, m.schultz@fz-juelich.de CDO: Climate Data Operators version 1.6.5.1 (http://code.zmaw.de/projects/cdo) Unlimited_Dimension: time

Variables:	clon: Array of 64 bit Reals [ncells = 0..20479] ncells: standard_name: longitude long_name: center longitude units: radian bounds: clon_bnds
	clon_bnds: Array of 64 bit Reals [ncells = 0..20479][vertices = 0..2] ncells: vertices:
	clat: Array of 64 bit Reals [ncells = 0..20479] ncells: standard_name: latitude long_name: center latitude units: radian bounds: clat_bnds
	clat_bnds: Array of 64 bit Reals [ncells = 0..20479][vertices = 0..2] ncells: vertices:
	time: Array of 64 bit Reals [time = 0..0] time: standard_name: time units: days since 1850-1-1 00:00:00 calendar: standard axis: T
	emiss_agr: Array of 32 bit Reals [time = 0..0][ncells = 0..20479] time: ncells: standard_name: tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission_from_agricultural_production long_name: agricultural production emissions of carbon monoxide (CO) units: kg m-2 s-1 code: 6 grid_type: unstructured number_of_grid_in_reference: 1 coordinates: clat clon _FillValue: -8.9999998E15 missing_value: -8.9999998E15
	emiss_awb: Array of 32 bit Reals [time = 0..0][ncells = 0..20479] time: ncells: standard_name: tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission_from_agricultural_waste_burning long_name: agricultural waste burning emissions of carbon monoxide (CO) units: kg m-2 s-1 code: 7 grid_type: unstructured number_of_grid_in_reference: 1 coordinates: clat clon _FillValue: -8.9999998E15 missing_value: -8.9999998E15
	emiss_dom: Array of 32 bit Reals [time = 0..0][ncells = 0..20479] time: ncells: standard_name: tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission_from_residential_and_commercial_combustion long_name: residential and commercial combustion emissions of carbon monoxide (CO) units: kg m-2 s-1 code: 4 grid_type: unstructured number_of_grid_in_reference: 1 coordinates: clat clon _FillValue: -8.9999998E15 missing_value: -8.9999998E15
	emiss_ene: Array of 32 bit Reals [time = 0..0][ncells = 0..20479] time: ncells: standard_name: tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission_from_energy_production_and_distribution long_name: energy production and distribution emissions of carbon monoxide (CO) units: kg m-2 s-1 code: 1 grid_type: unstructured number_of_grid_in_reference: 1 coordinates: clat clon _FillValue: -8.9999998E15 missing_value: -8.9999998E15
	emiss_ind: Array of 32 bit Reals [time = 0..0][ncells = 0..20479] time: ncells: standard_name: tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission_from_industrial_processes_and_combustion long_name: industrial processes and combustion emissions of carbon monoxide (CO) units: kg m-2 s-1 code: 2 grid_type: unstructured number_of_grid_in_reference: 1 coordinates: clat clon _FillValue: -8.9999998E15 missing_value: -8.9999998E15
	emiss_slv: Array of 32 bit Reals [time = 0..0][ncells = 0..20479] time: ncells: standard_name: tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission_from_solvent_production_and_use long_name: solvent production and use emissions of carbon monoxide (CO) units: kg m-2 s-1 code: 5 grid_type: unstructured number_of_grid_in_reference: 1 coordinates: clat clon _FillValue: -8.9999998E15 missing_value: -8.9999998E15
	emiss_tra: Array of 32 bit Reals [time = 0..0][ncells = 0..20479] time: ncells: standard_name: tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission_from_land_transport long_name: land transport emissions of carbon monoxide (CO) units: kg m-2 s-1 code: 3 grid_type: unstructured number_of_grid_in_reference: 1 coordinates: clat clon _FillValue: -8.9999998E15 missing_value: -8.9999998E15
	emiss_wst: Array of 32 bit Reals [time = 0..0][ncells = 0..20479] time: ncells: standard_name: tendency_of_atmosphere_mass_content_of_carbon_monoxide_due_to_emission_from_waste_treatment_and_disposal long_name: waste treatment and disposal emissions of carbon monoxide (CO) units: kg m-2 s-1 code: 8 grid_type: unstructured number_of_grid_in_reference: 1 coordinates: clat clon _FillValue: -8.9999998E15 missing_value: -8.9999998E15

For questions or comments about this dataset, contact the administrator of this server [Florian Obersteiner] at: f.obersteiner@kit.edu

For questions or comments about the OPeNDAP service bundled with the TDS, email THREDDS support at: support-thredds@unidata.ucar.edu

DDS:

Dataset {
    Float64 clon[ncells = 20480];
    Float64 clon_bnds[ncells = 20480][vertices = 3];
    Float64 clat[ncells = 20480];
    Float64 clat_bnds[ncells = 20480][vertices = 3];
    Float64 time[time = 1];
    Float32 emiss_agr[time = 1][ncells = 20480];
    Float32 emiss_awb[time = 1][ncells = 20480];
    Float32 emiss_dom[time = 1][ncells = 20480];
    Float32 emiss_ene[time = 1][ncells = 20480];
    Float32 emiss_ind[time = 1][ncells = 20480];
    Float32 emiss_slv[time = 1][ncells = 20480];
    Float32 emiss_tra[time = 1][ncells = 20480];
    Float32 emiss_wst[time = 1][ncells = 20480];
} icon/ACCMIP/CO/ANT/RCP26/R2B04_0012/ART_ANT_iconR2B04-grid-2091-04-01-00_0012.nc;

OPeNDAP Dataset Access Form

Action:

Data URL:

Global Attributes:

Variables:

DDS: