ECHAM4_OPYC_SRES_A2: 110 YEARS COUPLED A2 RUN 6H VALUES

The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES-A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change.
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.
ECHAM4/OPYC3(https://www.ipcc-data.org/gcm/models/tar/echam4opyc3.html ).
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 (https://www.ipcc-data.org/gcm/models/tar/echam4opyc3.html ).
Changes of 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 periode 1860 to 1990.

SRES数据集于2000年由政府间气候变化专门委员会（IPCC）发布，并被划分为四个不同的情景家族（A1、A2、B1、B2）。SRES-A2情景描绘了一个极具异质性的世界，其核心主题为自给自足与本土身份的维护。在此情景下，人口持续增长，而经济增长和技术变革则相对较缓。模型由大气成分构成，其基于欧洲中期天气预报中心（ECMWF）的天气预报模型，并采用19层混合sigma压力坐标系统作为标准模型版本。海洋成分则是一个运用等密度坐标进行计算的模型，即ECHAM4/OPYC3模型（https://www.ipcc-data.org/gcm/models/tar/echam4opyc3.html）。该数据集是对IPCC数据集的扩展，并提供了额外的气象参数。该模型的运行结果产生了变量的6小时值。ECHAM4/OPYC3模型（https://www.ipcc-data.org/gcm/models/tar/echam4opyc3.html）。根据上述情景，人为排放的二氧化碳（CO2）、甲烷（CH4）、氧化亚氮（N2O）和二氧化硫的变动被设定。模型运行从1990年开始，基于GSDIO情景运行结果（实验EH4OPYC_22723GSDIO），该实验在1860年至1990年的观测条件下进行。