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E41066H_1CO2IS92A_ACLCAC250_2041-2050

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DataCite Commons2020-09-23 更新2026-05-07 收录
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http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=E41066H_1CO2IS92A_ACLCAC250
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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

项目:政府间气候变化专门委员会(Intergovernmental Panel on Climate Change, IPCC)第三次评估报告ECHAM4/OPYC数据集 本项目涵盖耦合气候模式ECHAM4/OPYC的模拟结果,相关成果服务于IPCC第三次评估报告(TAR,访问链接:http://www.ipcc.ch/ipccreports/assessments-reports.htm)。IPCC由世界气象组织(World Meteorological Organization, WMO)与联合国环境规划署(United Nations Environment Programme, UNEP)联合设立,旨在评估与气候变化、其潜在影响以及适应与减缓措施相关的科学、技术和社会经济信息。 关于IPCC工作的更详细说明可访问IPCC官方网站(http://www.ipcc.ch)以及(www.grida.no/climate/ipcc)。作为后续进展,研究人员构建了《排放情景特别报告》(Special Report on Emission Scenarios, SRES,访问链接:http://www.grida.no/Climate/ipcc/emission/),用以描述全球环境的(潜在)未来发展趋势,重点关注温室气体和气溶胶前体物的排放情况。 研究团队开发了四组情景家族(A1、A2、B1、B2,详细信息可访问http://www.grida.no/climate/ipcc/emission/index.htm)。模式输出数据可从汉堡世界气候数据中心(wdc-climate.de)获取。本项目针对ECHAM4/OPYC模式的大量变量,提供了基于选定排放情景的未来趋势投影结果。 针对选定的变量集合,国际气候数据中心数据分发中心(IDCC-Data Distribution Center)提供了来自众多参与IPCC-TAR报告相关研究的模式的额外数据集(项目:IPCC_DDC_TAR)。 摘要:德国气候计算中心(Deutsches Klimarechenzentrum, DKRZ)的IPCC-AR3卢加诺T106时间切片积分2倍CO₂数据集:本数据集基于采用修正后情景IS92a(又称"IS95a")的温室气体试验(Greenhouse Gas, GHG),使用水平分辨率约为110千米网格距的ECHAM4模式T106版本,对两个10年时段进行了重新计算。本研究采用孤立大气模式,以瞬变强迫进行积分,并通过模式漂移对结果进行校正,漂移量由对应的控制运行时段确定。海表温度(Sea Surface Temperature, SST)取自试验EH4OPYC_22670GHG_MM以及大气模式比较计划(Atmospheric Model Intercomparison Project, AMIP)气候态数据,计算公式为:SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M),其中m=1~12,n=1~10,M为海陆掩码(海洋为1,陆地为0)。本试验包含IS92A情景下2041-2050年(即CO₂当量加倍十年)的模拟结果。模式中将痕量气体浓度固定为10年平均值。本试验在位于卢加诺附近马诺的瑞士超级计算机中心(Swiss National Supercomputing Centre, CSCS)的NEC SX4超算上完成计算。相关数据用于IPCC第三次评估报告。原始模型数据存储路径:schauer.dkrz.de://pf/k/k204026/k204004/04101/atm_d
提供机构:
World Data Center for Climate (WDCC)
创建时间:
2011-12-13
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