five

EH4_OPYC_SRES_B2_MSLP

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=EH4_OPYC_SRES_B2_MSLP
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: 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 sustainability. The global population is increasing at a lower rate than A2. It has an 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. This data set is an enlargement of the IPCC data set and provides additional meteorological parameters. The run produces 6h values of the variables. ECHAM4/OPYC3 (http://cera-www.dkrz.de/IPCC_DDC/SRES/ECHAM4/echam4opyc3.html ) Changes af anthropogenic emissions 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.

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型ECHAM4/OPYC的模拟实验数据,相关成果服务于政府间气候变化专门委员会的第三次评估报告(Third Assessment Report, TAR,访问网址: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)联合成立,旨在评估与气候变化科学认知、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)。作为后续拓展工作,研究团队构建了《排放情景特别报告》(Special Report on Emission Scenarios, SRES,访问网址:http://www.grida.no/Climate/ipcc/emission/),用于描述全球环境的(潜在)未来发展趋势,重点聚焦温室气体和气溶胶前体物排放情况。 现已开发出四组情景族(A1、A2、B1、B2,详见http://www.grida.no/climate/ipcc/emission/index.htm)。模型输出数据可通过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的众多模型变量,提供基于选定排放情景的未来趋势预测数据。 针对选定的变量集,IPCC数据分发中心(IDCC-Data Distribution Center)还提供了一批额外数据集,来自多个参与IPCC-TAR报告的模型(项目代号:IPCC_DDC_TAR)。 概述: SRES数据集由IPCC于2000年发布,共划分为四组不同的情景族(A1、A2、B1、B2)。 SRES_B2情景的叙事框架描述了一个以地方方案解决经济、社会与环境可持续性问题的世界。该情景下全球人口增速低于A2情景,经济发展水平处于中等区间,技术变革速度较A1与B1情景更为平缓且形式更多元。 本模型由两部分组成:大气分量基于欧洲中期天气预报中心(European Centre for Medium-Range Weather Forecasts, ECMWF)的天气预报模型,采用19层混合西格玛-压力坐标系的标准模型版本;海洋分量则基于等密度坐标(isopycnal coordinates)构建。 本数据集为IPCC原有数据集的扩充版本,额外提供了多项气象参数。 该模拟运行生成变量的6小时间隔数据。 ECHAM4/OPYC3的相关信息可访问:http://cera-www.dkrz.de/IPCC_DDC/SRES/ECHAM4/echam4opyc3.html。 模拟中,二氧化碳(CO₂)、甲烷(CH₄)、一氧化二氮(N₂O)及二氧化硫的人为排放变化均按照前述情景设定。 模型模拟始于1990年,初始场取自情景实验GSDIO(实验代号:"EH4OPYC_22723GSDIO")的结果,该实验以1860-1990年的观测条件为驱动完成运行。
提供机构:
World Data Center for Climate (WDCC)
创建时间:
2011-12-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作