Parameterizing sub-grid Arctic snow-on-sea-ice processes in Earth System Models using MOSAiC field observations and realistic-resolution process models.

使用 MOSAiC 现场观测和现实分辨率过程模型对地球系统模型中的子网格北极海冰雪过程进行参数化。

• 批准号: 1820927
• 负责人: Glen Liston
• 金额: $ 60.06万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1820927&HistoricalAwards=false
• 关键词: Parameterizing; sub; grid; Arctic; snow

This project will help answer one of the key questions being asked by the international Arctic climate-science community: What is the role of snow-on-sea-ice in controlling heat exchanges in the Arctic climate system? This work will educate young scientists in the combined issues of field measurements, high-resolution modeling, and representing high-resolution processes in regional and global models. In addition, it will collect high quality field measurements that will advance Arctic system science for years to come. This research will synthesize three interrelated science contributions: (1) Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) field observations will identify governing physical processes, fluxes, and linkages within the Arctic climate system. (2) Realistic-resolution (meters-scale), physically based modeling tools (e.g., MicroMet, SnowModel, EnBal, SnowPack, SnowTran-3D, SnowDunes, SnowAssim, SeaIce-3D) will quantify the behavior, interactions, and sensitivities among the Arctic system components. (3) Field observations and high-resolution modeling will be integrated to define what is missing or poorly represented in Earth System Models and guide the parameterization of the associated snow-related processes and fluxes for the Community Earth System Model (CESM) and the Los Alamos Sea Ice Model (CICE).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将有助于回答国际北极气候科学界提出的一个关键问题：海冰上的雪在控制北极气候系统中的热交换方面起着什么作用？这项工作将教育年轻科学家在现场测量，高分辨率建模，并在区域和全球模型中代表高分辨率过程的综合问题。此外，它还将收集高质量的实地测量数据，这些数据将在未来几年推动北极系统科学的发展。 这项研究将综合三个相互关联的科学贡献：（1）北极气候研究多学科漂移观测站（MOSAiC）的实地观测将确定北极气候系统内的主导物理过程，通量和联系。(2)逼真的分辨率（米级），基于物理的建模工具（例如，MicroMet、SnowModel、EnBal、SnowPack、SnowTran-3D、SnowDunes、SnowAssim、SeaIce-3D）将量化北极系统组件之间的行为、相互作用和敏感性。(3)将把实地观测和高分辨率建模结合起来，以确定地球系统模型中缺少或代表性差的内容，并指导社区地球系统模型和洛斯阿拉莫斯海冰模型的相关降雪过程和通量的参数化该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的评估被认为值得支持。影响审查标准。