A Climate Model Archive for Arctic Research and Outreach

用于北极研究和推广的气候模型档案

• 批准号: 0520112
• 负责人: William Chapman
• 金额: $ 28.34万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-10-01 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0520112&HistoricalAwards=false
• 关键词: Climate; Model; Archive; Arctic; Research

Chapman0520112Funds are provided for: (1) construction of an archive to facilitate access to the arctic output of the current set of Intergovernmental Panel on Climate Change (IPCC)-designated global model simulations, (2) implementation of a set of user-driven modules intended to provide insight into the model simulations and their utility; and (3) use of the IPCC model output to relate variations in the occurrence of extreme events to changes of climatic means in the Arctic. The IPCC output will consist of simulations from a suite of 12-15 models run using several different forcing scenarios. A core archive consisting of monthly averaged output from each model will be constructed. The archive will include ensemble averages of selected scenario runs from certain models, as well. A subset of variables will be archived on a daily basis. Education and outreach modules will be designed with several objectives: (1) enhancement of users' awareness of the state of the art of climate modeling of the Arctic, and (2) visual appeal intended to engage users and stimulate their interest in arctic climate change. The study of extreme events will include statistical analyses of changes of extremes in the context of changing means and changing variances in both observational data and model output.

资金用于：（1）建立一个档案库，以便利获取政府间气候变化专门委员会（气专委）指定的现有全球模式模拟的北极输出，（2）实施一套用户驱动的模块，以便深入了解模式模拟及其效用;以及（3）利用IPCC模式输出将极端事件发生的变化与北极气候手段的变化联系起来。 IPCC的输出将包括使用几种不同强迫情景运行的一套12-15个模型的模拟。 将建立一个核心档案，其中包括每个模型的每月平均产出。 该档案还将包括某些模型选定情景运行的总体平均值。 每天将一部分变量存档。 设计教育和推广模块将有几个目标：（1）提高用户对北极气候建模技术水平的认识，（2）视觉吸引力，旨在吸引用户并激发他们对北极气候变化的兴趣。 对极端事件的研究将包括在观测数据和模型输出的均值和方差不断变化的情况下对极端事件的变化进行统计分析。