cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/ipcc_eh4_opyc_sres_b2_mm
title: IPCC_ECHAM4OPYC_SRES_B2_MM

description: Project: IPCC Data Distribution Centre : Third Assessment Report data sets - The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO und UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and option for adaption and migration. Projection of future trends for a number of key variables are provided through this section of the DDC (http://ipcc-data.org/sim/gcm_clim/SRES_TAR ). This information contained in either IS92 emission scenarios (IPCC 1992), the Special Report on Emission Scenarios (IPCC 2000, SRES) or published model studies using data from these scenarios. Six alternative IPCC scenarios (IS92a to f) were published in the 1992 Supplementary Report to the IPCC Assessment. These scenarios embodied a wide array of assumption affecting how future greenhouse gas emissions might evolve in the absence of climate policies beyond those already adoped. The SRES scenarios have been constructed to explore future developments in the global enviromental with special reference to the production of greenhouse gases and aerosol precursor emission. A set of four scenario families (A1, A2, B1, B2) have been developed that each of this storylines describes one possible demographic, polito-economic, societal and technological future. Model experiments, also using different forcing scenarios, were calculated at other modeling centres. Emissions Scenarios. 2000 ,Special Report of the Intergovernmental Panel on Climate Change Nebojsa Nakicenovic and Rob Swart (Eds.) Cambridge University Press, UK. pp 570 Summary: 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 to economic, social and enviromental sustainbility. The global population is increasing at a lower rate than A2. It has a intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. 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 monthly averaged values of the variabeles. Changes of anthropogenic smissions 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 period 1860-1990.
DOI: 10.1594/wdcc/modis_acndc
title: MODIS_ACDNC Adiabatic Cloud Droplet Number Concentration

description: Project: MODIS data
Cloud droplet number concentration is derived from MODerate Resolution Imager Spectroradiometer (MODIS) data from NASA's Terra platform. The MOD08_D3 daily data on a grid of 1x1 degrees is used, which can be downloaded from
http://eosdata.gsfc.nasa.gov/daac-bin/MODIS/Data_order.pl NASA's data archive.
From the joint histrogram of cloud optical thickness (COD) and cloud-top droplet effective radius (CDR) for liquid water clouds, CDNC is diagnosed assuming adiabatic clouds (Brenguier et al., J. Atmos. Sci., 2000; Quaas et al., Atmos. Chem. Phys., 2005) as CDNC = 1.37 e-5 * COD0.5 * CDR^-2.5  (CDR in m and CDNC in m^-3).
Liquid water clouds only are used, and COD and CDR are restricted to their most reliable values (4¿m &lt;= CDR &lt;= 30¿m and 4 &lt;= COD &lt;= 70; Nakajima and King, J. Atmos. Sci., 1990). However, for MODIS-retrieved CDR, problems are known (Breon and Doutriaux-Boucher, IEEE Trans. Geosci. Remote Sens., 2005). The assumption of adiabacity may not necessarily be valid, even though large regions are considered. We recommend to use CDNC for statistical studies rather than to rely on absolute accuracy in single regions or short time-periods.
Summary: Cloud droplet number concentration is derived from MODerate Resolution Imager Spectroradiometer (MODIS) data from NASA's Terra platform.
The MOD08_D3 daily data (collection 4 processing stream) on a grid of 1x1 degrees is used, which can be downloaded from http://eosdata.gsfc.nasa.gov/daac-bin/MODIS/Data_order.pl.
From the joint histrogram of cloud optical thickness (COD) and cloud-top droplet effective radius (CDR) for liquid water clouds, CDNC is diagnosed assuming adiabatic clouds.
DOI: 10.1594/wdcc/modis_cdnc
title: MODIS_ACDNC Adiabatic Cloud Droplet Number Concentration daily value

description: Project: MODIS data - Cloud droplet number concentration is derived from MODerate Resolution Imager Spectroradiometer (MODIS) data from NASA's Terra platform. The MOD08_D3 daily data on a grid of 1x1 degrees is used, which can be downloaded from http://eosdata.gsfc.nasa.gov/daac-bin/MODIS/Data_order.pl NASA's data archive. From the joint histrogram of cloud optical thickness (COD) and cloud-top droplet effective radius (CDR) for liquid water clouds, CDNC is diagnosed assuming adiabatic clouds (Brenguier et al., J. Atmos. Sci., 2000; Quaas et al., Atmos. Chem. Phys., 2005) as CDNC = 1.37 e-5 * COD0.5 * CDR^-2.5 (CDR in m and CDNC in m^-3). Liquid water clouds only are used, and COD and CDR are restricted to their most reliable values (4 micrometer &lt;= CDR &lt;= 30 micrometer and 4 &lt;= COD &lt;= 70; Nakajima and King, J. Atmos. Sci., 1990). However, for MODIS-retrieved CDR, problems are known (Breon and Doutriaux-Boucher, IEEE Trans. Geosci. Remote Sens., 2005). The assumption of adiabacity may not necessarily be valid, even though large regions are considered. We recommend to use CDNC for statistical studies rather than to rely on absolute accuracy in single regions or short time-periods. Summary: Cloud droplet number concentration is derived from MODerate Resolution Imager Spectroradiometer (MODIS) data from NASA's Terra platform. The MOD08_D3 daily data (collection 4 processing stream) on a grid of 1x1 degrees is used, which can be downloaded from http://eosdata.gsfc.nasa.gov/daac-bin/MODIS/Data_order.pl. From the joint histrogram of cloud optical thickness (COD) and cloud-top droplet effective radius (CDR) for liquid water clouds, CDNC is diagnosed assuming adiabatic clouds.
DOI: 10.1594/wdcc/eh41066h1co2is92a_stp925
title: EH41066H1CO2IS92A_STP925_1971-1980

description: Project: IPCC Third Assessment Report ECHAM4/OPYC data sets
The project embrases the simulations with the coupled climate model ECHAM4/OPYC, relevant for the third assessment report (TAR, 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 adaption 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 enviroment with special reference to the production of greenhouse gases and aerosol precursor emissions.
A set of four scenarios 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 ECHAM4/OPYC.
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-TAR report (project: IPCC_DDC_TAR).
Summary: IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 1*CO2 of Deutsches Klimarechenzentrum. Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the present-day reference decade 1971-1980. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report.  Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d
DOI: 10.1594/wdcc/eh41066h1co2is92a_stream10
title: EH41066H1CO2IS92A_STREAM10_1971-1980

description: Project: IPCC Third Assessment Report ECHAM4/OPYC data sets
The project embrases the simulations with the coupled climate model ECHAM4/OPYC, relevant for the third assessment report (TAR, 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 adaption 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 enviroment with special reference to the production of greenhouse gases and aerosol precursor emissions.
A set of four scenarios 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 ECHAM4/OPYC.
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-TAR report (project: IPCC_DDC_TAR).
Summary: IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 1*CO2 of Deutsches Klimarechenzentrum. Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the present-day reference decade 1971-1980. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report.  Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d
DOI: 10.1594/wdcc/eh41066h1co2is92a_stream100
title: EH41066H1CO2IS92A_STREAM100_1971-1980

description: Project: IPCC Third Assessment Report ECHAM4/OPYC data sets
The project embrases the simulations with the coupled climate model ECHAM4/OPYC, relevant for the third assessment report (TAR, 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 adaption 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 enviroment with special reference to the production of greenhouse gases and aerosol precursor emissions.
A set of four scenarios 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 ECHAM4/OPYC.
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-TAR report (project: IPCC_DDC_TAR).
Summary: IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 1*CO2 of Deutsches Klimarechenzentrum. Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the present-day reference decade 1971-1980. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report.  Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d
DOI: 10.1594/wdcc/eh41066h1co2is92a_stream1000
title: EH41066H1CO2IS92A_STREAM1000_1971-1980

description: Project: IPCC Third Assessment Report ECHAM4/OPYC data sets
The project embrases the simulations with the coupled climate model ECHAM4/OPYC, relevant for the third assessment report (TAR, 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 adaption 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 enviroment with special reference to the production of greenhouse gases and aerosol precursor emissions.
A set of four scenarios 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 ECHAM4/OPYC.
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-TAR report (project: IPCC_DDC_TAR).
Summary: IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 1*CO2 of Deutsches Klimarechenzentrum. Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the present-day reference decade 1971-1980. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report.  Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d
DOI: 10.1594/wdcc/eh41066h1co2is92a_stream150
title: EH41066H1CO2IS92A_STREAM150_1971-1980

description: Project: IPCC Third Assessment Report ECHAM4/OPYC data sets
The project embrases the simulations with the coupled climate model ECHAM4/OPYC, relevant for the third assessment report (TAR, 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 adaption 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 enviroment with special reference to the production of greenhouse gases and aerosol precursor emissions.
A set of four scenarios 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 ECHAM4/OPYC.
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-TAR report (project: IPCC_DDC_TAR).
Summary: IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 1*CO2 of Deutsches Klimarechenzentrum. Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the present-day reference decade 1971-1980. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report.  Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d
DOI: 10.1594/wdcc/eh41066h1co2is92a_stream200
title: EH41066H1CO2IS92A_STREAM200_1971-1980

description: Project: IPCC Third Assessment Report ECHAM4/OPYC data sets
The project embrases the simulations with the coupled climate model ECHAM4/OPYC, relevant for the third assessment report (TAR, 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 adaption 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 enviroment with special reference to the production of greenhouse gases and aerosol precursor emissions.
A set of four scenarios 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 ECHAM4/OPYC.
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-TAR report (project: IPCC_DDC_TAR).
Summary: IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 1*CO2 of Deutsches Klimarechenzentrum. Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the present-day reference decade 1971-1980. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report.  Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d