PRAC Collaborative Research: Testing Hypotheses about Climate Prediction at Unprecedented Resolutions on the NSF Blue Waters System

PRAC 合作研究：在 NSF Blue Waters 系统上以前所未有的分辨率测试有关气候预测的假设

• 批准号: 0832679
• 负责人: William Large
• 金额: $ 1.14万
• 依托单位: University Corporation For Atmospheric Res
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0832679&HistoricalAwards=false
• 关键词: PRAC; Collaborative; Research; Testing; Hypotheses

This proposal is for a provisional allocation of time on the Blue Waters computer system, due to become operational in 2011, and for travel funds to support technical coordination by various collaborators with the Blue Waters project team and vendor technical team.The project team will use Blue Water resources for investigations designed to test two hypotheses about the Earth's climate system. The first is that the transport fluxes and other effects associated with cloud processes and ocean mesoscale eddy mixing are significantly different from the theoretically derived averages embodied in the parameterizations used in current-generation climate models, and that these differences explain a large portion of the errors in these models. The second is the hypothesis that a more faithful representation of these eddy-scale processes will increase the predictability of the climates generated by climate models. To test these hypotheses, the project team plans to perform three sets of numerical experiments using three cutting-edge climate models, the Community Climate System Model, a new version of the Community Climate System Model that includes an innovative treatment of cloud processes, and the Colorado State University Global Cloud-Resolving Model.The proposed, high-resolution simulations will also provide a dataset that will allow study of the variability of regional climate as the global-scale climate evolves and provide information about the interplay of weather and climate.The proposed project will answer an important question about the intrinsic reliability of current generation climate models whose predictions are important for understanding the likely impacts of climate variation and strategies for their mitigation. It will improve the quality of information provided to policy-makers and expand its range, providing more information about regional climate variability and its influence on precipitation. The project is led by a member of a demographic group that is under-represented in geosciences research.

该提案是为了在2011年投入运营的蓝水计算机系统上的临时时间分配，并支持各种合作者与Blue Waters Project Team和供应商技术团队的技术协调。项目团队将使用蓝色水资源进行旨在测试有关地球气候系统的两个假设的调查。 首先是，与云过程和海洋中尺度涡流混合相关的传输通量和其他影响与当前产生气候模型所用参数化的理论得出的平均值显着不同，并且这些差异解释了这些模型中误差的很大一部分。 第二个假设是，这些涡流过程的更忠实的表示将增加气候模型产生的气候的可预测性。 为了检验这些假设，项目团队计划使用三个尖端的气候模型，社区气候系统模型，社区气候系统模型的新版本，包括对云过程的创新处理，以及科罗拉多州立大学的全球云解决模型，高分辨率的阶级阶段的阶级阶级，该数据既可以允许阶段性的变化，从而使整体范围的临时性允许，该阶段会允许整体研究的变异性，该数据团队计划进行三组数字模型。并提供有关天气和气候相互作用的信息。拟议的项目将回答有关当前一代气候模型的内在可靠性的重要问题，这些问题的预测对于理解气候变化的可能影响以及对缓解的策略的可能影响很重要。 它将提高提供给政策制定者的信息质量并扩大其范围，提供有关区域气候变异性及其对降水的影响的更多信息。 该项目由一个人群组的成员领导，该组织在地球科学研究中的代表性不足。