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社区所问的关键问题之一：雪线冰在控制北极气候系统中的热交换器中的作用是什么？这项工作将教育年轻科学家在现场测量，高分辨率建模的综合问题中，并代表区域和全球模型中的高分辨率流程。此外，它将收集高质量的现场测量结果，这些测量将在未来几年内推进北极系统科学。 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（马赛克）田间观测的多学科漂流观测值将确定北极气候系统中的身体过程，通量和联系。 （2）逼真的分辨率（仪表尺度），基于物理的建模工具（例如，千分尺，雪名模型，enbal，雪带，雪地3d，雪地3D，雪云，雪刺，Seaice-3D）将量化北极系统组成部分之间的行为，互动，互动和敏感性。 （3）将集成现场观察和高分辨率建模，以定义地球系统模型中缺失或不良代表的内容，并指导社区地球系统模型（CESM）（CESM）（CESM）和洛斯阿拉莫斯海冰模型（CICE）的相关雪相关的过程和通量的参数化，这反映了NSF的智力和范围的范围。 标准。