Collaborative Research: The North American Regional Climate Change Assessment Program (NARCCAP)--Using Multiple GCMs and RCMs to Simulate Future Climates and Their Uncertainty

合作研究：北美区域气候变化评估计划（NARCCAP）——使用多个 GCM 和 RCM 模拟未来气候及其不确定性

• 批准号: 0534173
• 负责人: Stephan Sain
• 金额: $ 9.92万
• 依托单位: University of Colorado at Denver-Downtown Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0534173&HistoricalAwards=false
• 关键词: Collaborative; Research; North; American; Regional

The goals of The North American Regional Climate Change Assessment Program (NARCCAP) are to: (1) develop and make openly available, multiple high resolution regional climate change scenarios for use in impacts and risk assessments; (2) evaluate regional model performance over North America by nesting the Regional Climate Models (RCM) in coarser spatial scale reanalyzed data products; (3) understand critical regional climate change issues, such as the effects of increased greenhouse gases on the frequency of various types for extreme weather events; (4) enhance understanding of key issues in regional climate modeling, including methodological approaches; (5) conduct a limited examination of uncertainties in regional model and global climate model (GCM) future regional projections; (6) create greater collaboration between US, Canadian, and European climate modeling groups to leverage the diverse modeling capability across the countries; and (7) coordinate with and derive added value from diverse regional and global modeling projects and programs currently underway in the US, Canada, Europe, and South America.Broader impacts of the research include support for the climate impacts community to provide decision-relevant information for public policy, in part through a user-oriented data access, formatting and archival facility for output from the simulations. NARCCAP will contribute to a wide range of climate research by producing regional-scale projections of climate change. In doing so, the program will enhance the infrastructure for climate-change research by linking several North American and European institutions in a collaborative network for multi-model simulation, output analysis and data dissemination. The program's output will promote undergraduate and graduate research at the participating institutions and foster cross-disciplinary links across campuses and between institutions. Collaborating PIs supported by NSF:Mearns, Linda O., National Center for Atmospheric Research (Lead)Sloan, Lisa C., University of California-Santa Cruz Gutowski, William J. Iowa State University Sain, Stephan R., University of Colorado at DenverNOAA and DOE are also supporting NARCCAP collaborating PIs:NOAA: Roads, John O., University of California-San Diego Scripps Inst of Oceanography DOE: Bader, David C., Lawrence Livermore National Laboratory Leung, Lai-Yung (Ruby), Battelle Northwest Laboratories Duffy, Philip B., Lawrence Livermore National LaboratoryThe NOAA Geophysical Fluid Dynamics Laboratory, the NSF-sponsored National Center for Atmospheric Research and the DOE Lawrence Livermore National Laboratory are providing additional in-kind support.

北美区域气候变化评估计划（NARCCAP）的目标是：（1）开发并公开提供多种高分辨率的区域气候变化情景，用于影响和风险评估;（2）通过将区域气候模式（RCM）嵌套在粗空间尺度再分析数据产品中，评估北美区域模式的性能;（3）了解关键的区域气候变化问题，如温室气体增加对各种极端天气事件发生频率的影响;（4）加强对区域气候模拟关键问题的理解，包括方法学方法;（5）对区域模式和全球气候模式（GCM）未来区域预测的不确定性进行有限的检查;（6）在美国、加拿大和欧洲气候模拟小组之间建立更大的合作，以利用各国不同的模拟能力;与美国、加拿大、欧洲和南美洲目前正在进行的各种区域和全球模拟项目和计划进行协调，并从中获得附加值。研究的更广泛影响包括支持气候影响社区为公共政策提供决策相关信息，部分是通过面向用户的数据访问、格式化和存档设施，以获得模拟输出。NARCCAP将通过制作区域尺度的气候变化预测，为广泛的气候研究作出贡献。在这样做的过程中，该计划将加强气候变化研究的基础设施，将几个北美和欧洲的机构连接在一个合作网络中，进行多模型模拟，输出分析和数据传播。该计划的产出将促进参与机构的本科生和研究生研究，并促进跨校园和机构之间的跨学科联系。NSF支持的协作PI：Mearns，琳达O.，国家大气研究中心（领导）斯隆，丽莎C.，加州大学圣克鲁斯分校Gutowski，William J.爱荷华州州立大学Sain，Stephan R.，丹佛的科罗拉多大学NOAA和能源部也在支持NARCCAP合作PI：NOAA：Roads，John O.，加利福尼亚大学圣地亚哥分校斯克里普斯海洋学研究所：巴德，大卫C.，劳伦斯利弗莫尔国家实验室 Leung，Lai-Yung（Ruby），巴特尔西北实验室 Duffy，Philip B.，劳伦斯利弗莫尔国家实验室NOAA地球物理流体动力学实验室，NSF赞助的国家大气研究中心和能源部劳伦斯利弗莫尔国家实验室正在提供额外的实物支持。