Collaborative Research: Reconstruction of the eastern Bering ice-ocean system by variational assimilation of the BEST-BSIERP data

合作研究：通过 BEST-BSIERP 数据的变分同化重建东白令冰海系统

• 批准号: 1107327
• 负责人: Jinlun Zhang
• 金额: $ 16.67万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-15 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1107327&HistoricalAwards=false
• 关键词: Collaborative; Research; Reconstruction; eastern; Bering

Funds are provided to achieve three major goals. 1. To synthesize data from the BEST-BSIERP coordinated programs in the Bering Sea and data from other sources, collected during the same time period (2007-2010), via modeling and data assimilation. Two joint data assimilation systems will be applied to reconstruct the physical oceanographic fields of the eastern Bering ice-ocean system. The first system will be configured to reconstruct the large-scale circulation in the eastern Bering Sea and to accurately describe the large-scale processes in the South Eastern Bering Sea Shelf. The second will be configured for the eastern Bering Sea Shelf and will explicitly resolve eddy and tidal dynamics, thus leading to a better understanding of the nonlinear interaction processes between the deep basin and the shelf region of the eastern Bering Sea. 2. To analyze the reconstructed fields and identify processes important for causing observed variability. 3. To determine the impact of assimilating data with different origins on the estimation of near-surface transports of volume, momentum, heat, and material. This will be accomplished through adjoint sensitivity analysis. Results will help optimize Bering Sea mooring observations in future studies. The Bering Sea is the largest commercial and subsistence fishery of the United States. Management of this fishery in the face of ongoing climate variability requires an understanding of all the processes impacting the fishery. Amongst these are the changing water temperature, which influences the growth rate of fish, and the current field, which carries fish eggs and larvae from their spawning regions to their nursery grounds. This project will contribute to an understanding of how these fields change in response to other external forcing.

提供资金是为了实现三个主要目标。1.通过建模和数据同化，综合同一时期（2007-2010年）在白令海的BEST-BSIERP协调计划的数据和其他来源的数据。两个联合的数据同化系统将用于重建东白令冰-海系统的物理海洋学场。第一个系统的配置将用于重建东白令海的大规模环流，并准确描述东南白令海大陆架的大规模过程。第二个将配置为东白令海大陆架，并将明确解决涡流和潮汐动力学，从而导致更好地了解之间的非线性相互作用过程的深盆和大陆架地区的东白令海。2.分析重建的磁场，并确定对引起观测到的变化很重要的过程。3.确定同化不同来源的数据对估算近地表体积、动量、热量和物质输送的影响。这将通过伴随敏感性分析来实现。研究结果将有助于优化白令海系泊观测在未来的研究。白令海是美国最大的商业和自给性渔业。 面对持续的气候变化，这种渔业的管理需要了解影响渔业的所有过程。 其中包括影响鱼类生长速度的水温变化，以及将鱼卵和仔鱼从产卵区带到育苗场的水流场。 该项目将有助于了解这些领域如何响应其他外部强迫而变化。