cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/eh4106_6h_1co2is92a_traf0
title: EH4106_6H_1CO2IS92A_TRAF0_2041-2050

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 2*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 decade of CO2 equivalent doubling decade 2041-2050 in the IS92A scenario. 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/k204004/04101/atm_d
DOI: 10.1594/wdcc/eh4106_6h_1co2is92a_trafs
title: EH4106_6H_1CO2IS92A_TRAFS_2041-2050

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 2*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 decade of CO2 equivalent doubling decade 2041-2050 in the IS92A scenario. 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/k204004/04101/atm_d
DOI: 10.1594/wdcc/cops_suph_rlidar
title: cops_suph_rlidar: Profiles of temperature and particle backscatter coefficient at 355 nm measured with the Rotational Raman Lidar of University of Hohenheim (UHOH RRL) during COPS 2007

description: Project: Convective and Orographically-induced Precipitation Study - Weather forecast models have not been successful in improving the Quantitative Precipitation Forecast during the last 16 years. One reason for this stagnation is the lack of comprehensive, high-quality data sets usable for model validation as well as for data assimilation, thus leading to improved initial fields in numerical models. Theoretical analyses have identified the requirements measured data have to meet in order to close the gaps in process understanding. In field campaigns, it has been shown that the newest generation of remote sensing systems has the potential to yield data sets of the required quality. It is therefore time to combine the most powerful remote sensing instruments with proven ground-based and airborne measurement techniques in an Intensive Observations Period (IOP). Its goal is to serve as a backbone for the Priority Program SPP 1167 by producing the demanded data sets of unachieved accuracy and resolution. This requires a sophisticated scientific preparation and a careful coordination between the efforts of the institutions involved. For the first time, the pre-convective environment, the formation of clouds and the onset and development of precipitation as well as its intensity will be observed in four dimensions simultaneously in a region of sufficient size. This shall be achieved by combining the IOP with international programs and by collaboration between leading scientists in Europe, US, and other countries. Thus, the IOP, which we call Convective and Orographically-induced Precipitation Study (COPS), is a unique opportunity for an international field campaign featuring the newest generation of measurement systems such as scanning radar and lidar and leading to outstanding advances in atmospheric sciences. Please be aware of the common COPS/GOP/D-PHASE data policy, which you please find at http://cops.wdc-climate.de/ Summary: The files contain vertical profiles of temperature and particle backscatter coefficient at 355 nm measured with the Rotational Raman Lidar of University of Hohenheim (UHOH RRL) during COPS 2007. The UHOH RRL was located at Hornisgrinde (COPS Supersite H) with other instruments. The temporal resolution of the particle-backscatter-coefficient data is 10 s in June 2007 and 13 s in July and August 2007, respectively. The spatial resolution is 37.5 m. For the temperature data of this release, the temporal and spatial resolution of the data is 5 minutes and 37.5 m, respectively. Missing values were added for data containing clouds and exceeding statistical measurement uncertainties of 2 K. Scanning data, data with higher resolution, data of higher altitudes, or data of measurement days which are not published within this release are available on request. See pdf summary in entry 'cops_suph_rlidar_info_1' for further information.
DOI: 10.1594/wdcc/cops_suph_wvdial
title: cops_suph_wvdial: Profiles of absolute humidity and backscatter signals at 820 nm measured with the Water Vapor Differential Absorption Lidar of University of Hohenheim (UHOH DIAL) during COPS 2007

description: Project: Convective and Orographically-induced Precipitation Study - Weather forecast models have not been successful in improving the Quantitative Precipitation Forecast during the last 16 years. One reason for this stagnation is the lack of comprehensive, high-quality data sets usable for model validation as well as for data assimilation, thus leading to improved initial fields in numerical models. Theoretical analyses have identified the requirements measured data have to meet in order to close the gaps in process understanding. In field campaigns, it has been shown that the newest generation of remote sensing systems has the potential to yield data sets of the required quality. It is therefore time to combine the most powerful remote sensing instruments with proven ground-based and airborne measurement techniques in an Intensive Observations Period (IOP). Its goal is to serve as a backbone for the Priority Program SPP 1167 by producing the demanded data sets of unachieved accuracy and resolution. This requires a sophisticated scientific preparation and a careful coordination between the efforts of the institutions involved. For the first time, the pre-convective environment, the formation of clouds and the onset and development of precipitation as well as its intensity will be observed in four dimensions simultaneously in a region of sufficient size. This shall be achieved by combining the IOP with international programs and by collaboration between leading scientists in Europe, US, and other countries. Thus, the IOP, which we call Convective and Orographically-induced Precipitation Study (COPS), is a unique opportunity for an international field campaign featuring the newest generation of measurement systems such as scanning radar and lidar and leading to outstanding advances in atmospheric sciences. Please be aware of the common COPS/GOP/D-PHASE data policy, which you please find at http://cops.wdc-climate.de/ Summary: The files contain vertical profiles of absolute humidity and backscatter signals at 820 nm measured with the Water Vapor Differential Absorption Lidar of University of Hohenheim (UHOH DIAL) during COPS 2007. The UHOH DIAL was located at Hornisgrinde (COPS Supersite H) with other instruments. The backscatter signals are offline backscatter data multiplied with range squared in arbitrary units. These data show aerosols and clouds above the lidar. The temporal and spatial resolution of these data is 10 s and 15 m, respectively. For the humidity data (in g/m**-3) of this release, the temporal and spatial resolution is the same but with a 150-m-long weighting function. Data with higher resolution, data of higher altitudes, or data of measurement days which are not published within this release are available on request. See pdf summary in entry 'cops_suph_rlidar_info_1' for further information.
DOI: 10.1594/wdcc/csiro_sres_a1_cprat
title: IPCC-DDC_CSIRO_SRES_A1_CPRAT

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://www.mad.zmaw.de/IPCC_DDC/html/ddc_gcmdata.html).
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_A1 storyline describes a future world of very rapid economic
growth, global population that peaks in mid-century and declines
thereafter and the rapid introduction of new and more efficient
technologies.
It is distinguished by their technological emphasis:
A1FI: fossil intensiv,
A1T : non-fossil energy sources and
A1B : a balance across all sources.
The Mark 2 CSIRO coupled global climate model consists of the
atmospheric component which has 9 vertical levels with a R21
horizontal resolution and the ocean component which was based
on the GFDL code.
Mark2_CSIRO (http://www.dar.csiro.au/publications/hennessy_1998a.html#ccm )
The changes of anthropogenic emissions of CO2, CH4, N2O and
sulphur dioxide are prescribed according to the above
mentioned scenario.
DOI: 10.1594/wdcc/csiro_sres_a1_dswf
title: IPCC-DDC_CSIRO_SRES_A1_DSWF

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://www.mad.zmaw.de/IPCC_DDC/html/ddc_gcmdata.html).
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_A1 storyline describes a future world of very rapid economic
growth, global population that peaks in mid-century and declines
thereafter and the rapid introduction of new and more efficient
technologies.
It is distinguished by their technological emphasis:
A1FI: fossil intensiv,
A1T : non-fossil energy sources and
A1B : a balance across all sources.
The Mark 2 CSIRO coupled global climate model consists of the
atmospheric component which has 9 vertical levels with a R21
horizontal resolution and the ocean component which was based
on the GFDL code.
Mark2_CSIRO (http://www.dar.csiro.au/publications/hennessy_1998a.html#ccm )
The changes of anthropogenic emissions of CO2, CH4, N2O and
sulphur dioxide are prescribed according to the above
mentioned scenario.
DOI: 10.1594/wdcc/csiro_sres_a1_mslp
title: IPCC-DDC_CSIRO_SRES_A1_MSLP

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://www.mad.zmaw.de/IPCC_DDC/html/ddc_gcmdata.html).
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_A1 storyline describes a future world of very rapid economic
growth, global population that peaks in mid-century and declines
thereafter and the rapid introduction of new and more efficient
technologies.
It is distinguished by their technological emphasis:
A1FI: fossil intensiv,
A1T : non-fossil energy sources and
A1B : a balance across all sources.
The Mark 2 CSIRO coupled global climate model consists of the
atmospheric component which has 9 vertical levels with a R21
horizontal resolution and the ocean component which was based
on the GFDL code.
Mark2_CSIRO (http://www.dar.csiro.au/publications/hennessy_1998a.html#ccm )
The changes of anthropogenic emissions of CO2, CH4, N2O and
sulphur dioxide are prescribed according to the above
mentioned scenario.
DOI: 10.1594/wdcc/csiro_sres_a1_prec
title: IPCC-DDC_CSIRO_SRES_A1_PREC

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://www.mad.zmaw.de/IPCC_DDC/html/ddc_gcmdata.html).
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_A1 storyline describes a future world of very rapid economic
growth, global population that peaks in mid-century and declines
thereafter and the rapid introduction of new and more efficient
technologies.
It is distinguished by their technological emphasis:
A1FI: fossil intensiv,
A1T : non-fossil energy sources and
A1B : a balance across all sources.
The Mark 2 CSIRO coupled global climate model consists of the
atmospheric component which has 9 vertical levels with a R21
horizontal resolution and the ocean component which was based
on the GFDL code.
Mark2_CSIRO (http://www.dar.csiro.au/publications/hennessy_1998a.html#ccm )
The changes of anthropogenic emissions of CO2, CH4, N2O and
sulphur dioxide are prescribed according to the above
mentioned scenario.