EH41066H1CO2IS92A_GPH850_1971-1980
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=EH41066H1CO2IS92A_GPH850
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 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
项目: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,相关成果服务于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(Third Assessment Report, TAR,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认知、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)。作为后续进展,研究人员构建了《排放情景特别报告》(Special Report on Emission Scenarios, SRES,链接:http://www.grida.no/Climate/ipcc/emission/),用于描述全球环境的(潜在)未来演变,重点关注温室气体和气溶胶前体物排放情况。
本次研究构建了四类情景族(A1、A2、B1、B2,详见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(World Data Center for Climate, 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预估结果。
针对选定的变量集合,IDCC数据分发中心(IDCC-Data Distribution Center)将提供来自众多支撑IPCC-TAR报告的模式的额外数据集(项目代号:IPCC_DDC_TAR)。
概述:德国气候计算中心(Deutsches Klimarechenzentrum, DKRZ)的IPCC-AR3卢加诺T106时间切片积分1*CO2数据集
本数据集基于温室气体试验(Greenhouse Gas Experiment, GHG),该试验采用修正后的情景IS92a(又称"IS95a"),使用ECHAM4模式的更高水平分辨率版本(网格间距约110km,代号T106)重新计算了两个10年时段的结果,所用模式为孤立大气模式。
积分过程采用瞬变强迫驱动,同时针对模式漂移对结果进行了校正;模式漂移通过对应的控制运行时段计算得到。
海表温度(Sea Surface Temperature, SST)数据取自试验EH4OPYC_22670GHG_MM与大气模式比较计划(Atmospheric Model Intercomparison Project, AMIP)的气候态数据,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取值1至12,n取值1至10,M为海陆掩码(海洋取值1,陆地取值0)。
本试验包含当代参考时段1971-1980的模拟结果;模式中痕量气体浓度被固定为10年平均值。
上述试验在位于卢加诺附近马诺(Mano)的瑞士超级计算中心(Swiss National Supercomputing Centre, CSCS)的NEC SX4超级计算机上完成。
本数据集服务于IPCC第三次评估报告。
原始模型数据存储路径:schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d
提供机构:
World Data Center for Climate (WDCC)
创建时间:
2011-12-13



