Collaborative: Using the SHEBA Flux Data To Improve Regional and Global Climate Models

协作：利用 SHEBA 通量数据改进区域和全球气候模型

• 批准号: 0084279
• 负责人: Peter Guest
• 金额: $ 13.8万
• 依托单位: Naval Postgraduate School
• 依托单位国家: 美国
• 项目类别: Interagency Agreement
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0084279&HistoricalAwards=false
• 关键词: Collaborative; Using; SHEBA; Flux; Data

This project is part of an integrated set of proposals for the Surface Heat Budget of the Arctic (SHEBA) Ocean project. The goal of the current phase of the SHEBA project is to use data collected during a one year experiment during which an icebreaker frozen into the ice pack of the Beaufort and Chukchi Seas was used as a platform for data collection. A full annual cycle of data relating to feedbacks of the ocean-ice-atmosphere system was collected and will be used to improve model parameterizations of sea ice response to global warming. The data originally collected by these researchers provides an essential dataset of ice-surface observations of the atmospheric boundary level for use in improving large-scale models that require better parameterization of cloud-radiation and surface-albedo feedbacks for predicting the response of Arctic sea ice to global warming. The project involves analysis and quality control of surface-level data and production of a time-series of surface heat flux. The data will be incorporated into models of the atmospheric boundary layer and used to compare to data sets of surface parameters collected by aircraft over flights. The results of this project will be used in conjunction with other projects to enhance mesoscale and General Circulation Models (GCMs) that facilitate better simulations of the Arctic sea ice response to projected global warming trends.

该项目是北极海洋表面热量收支项目综合提案的一部分。 SHEBA项目目前阶段的目标是使用在为期一年的实验中收集的数据，在此期间，一艘破冰船冻结在博福特和楚科奇海的冰层中，用作数据收集的平台。 收集了与海洋-冰-大气系统反馈有关的全年数据，将用于改进海冰对全球变暖反应的模型参数化。 这些研究人员最初收集的数据提供了一个重要的大气边界层冰面观测数据集，用于改进大尺度模型，这些模型需要更好地对云辐射和表面反射反馈进行参数化，以预测北极海冰对全球变暖的反应。 该项目涉及地面数据的分析和质量控制以及地面热通量时间序列的制作。 这些数据将被纳入大气边界层模型，并用于与飞行器在飞行中收集的表面参数数据集进行比较。 该项目的成果将与其他项目一起用于加强中尺度和大气环流模型，以促进更好地模拟北极海冰对预测的全球变暖趋势的反应。