EH4106_6H_1CO2IS92A_QVI_2041-2050
收藏DataCite Commons2020-09-23 更新2026-05-07 收录
下载链接:
http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=EH4106_6H_1CO2IS92A_QVI
下载链接
链接失效反馈官方服务:
资源简介:
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的模拟试验,相关成果支撑政府间气候变化专门委员会(IPCC)第三次评估报告(TAR,访问地址: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)联合组建,旨在评估与气候变化、其潜在影响以及适应与减缓方案相关的科学、技术及社会经济信息。
关于IPCC工作的详细说明可访问IPCC官方网站(http://www.ipcc.ch )及(www.grida.no/climate/ipcc )。作为后续拓展研究,团队构建了《排放情景特别报告(Special Report on Emission Scenarios, SRES)》(访问地址:http://www.grida.no/Climate/ipcc/emission/ ),用以描述全球环境的(潜在)未来发展趋势,重点聚焦温室气体与气溶胶前体物的排放情况。
研究人员开发了四类情景族(A1、A2、B1、B2)(详细说明见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的众多模式变量,提供基于选定排放情景的未来趋势预测结果。
针对选定的变量集,国际气候数据中心数据分发中心(IDCC-Data Distribution Center)还提供了来自多个参与IPCC-TAR报告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)IPCC第三次评估报告(AR3)卢加诺T106时间切片积分2倍CO₂试验
本试验基于修改后的IS92a情景(又称"IS95a")的温室气体试验(Greenhouse Gas Experiment, GHG),采用水平分辨率约110km的ECHAM4模式T106版本,重新计算了两个10年时段。试验使用独立运行的大气模式完成,积分过程采用瞬变强迫,结果通过模式漂移进行校正,漂移量由对应的控制试验时段确定。海表温度(Sea Surface Temperature, SST)取自试验EH4OPYC_22670GHG_MM与大气模式比较计划(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至12(代表月份),n=1至10(代表年份),M为海陆掩码(海洋取1,陆地取0)。本试验涵盖IS92A情景中CO₂当量加倍时段(2041-2050年)的十年模拟结果。痕量气体浓度以10年平均值的形式在模式中固化配置。本批试验在位于卢加诺附近马诺(Mano)的瑞士国家超级计算中心(Swiss National Supercomputing Centre, CSCS)的NEC SX4超级计算机上完成。数据用于IPCC第三次评估报告。原始模式数据存储路径: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



