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

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:
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
项目状态:
已结题
起止时间:
2018-09-01 至 2022-08-31

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中文摘要
翻译
这个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:在北极气候系统中,海冰在控制热交换方面起什么作用?这项工作将在实地测量、高分辨率建模以及在区域和全球模式中表示高分辨率过程的综合问题上教育年轻科学家。此外,它将收集高质量的实地测量数据,这将在未来几年推动北极系统科学的发展。本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流观测站(MOSAiC)野外观测将确定北极气候系统内的控制物理过程、通量和联系。(2)现实分辨率(米级)、基于物理的建模工具(如MicroMet、SnowModel、EnBal、SnowPack、snowtrans - 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)将整合野外观测和高分辨率模拟,以确定地球系统模式中缺失或表现不充分的内容,并指导社区地球系统模式(CESM)和洛斯阿拉莫斯海冰模式(CICE)对相关雪相关过程和通量的参数化。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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