Assimilation in ocean and coupled models to determine the thermohaline circulation.

海洋同化和耦合模型以确定温盐环流。

• 批准号: NE/C509066/1
• 负责人: Keith Haines
• 金额: $ 3.87万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FC509066%2F1
• 关键词: Assimilation; ocean; coupled; models; determine

To make the best use of the historical research ship records as well as new observations from autonomous ocean profiling floats and special observing programs such as Rapid climate change, it is proposed to assimilate all of the available data from the past 40 years into a high quality ocean circulation model that can represent complete fields of ocean properties. In this way derived quantities such as the north-south mass and heat transports which are vital to understanding the oceans role in controlling climate, can also be determined. The project will also put into context the various timeseries of observations that have been compiled from local regions which suggest that important changes in ocean circulation and transports have been ongoing in the past decades. These timeseries will thus be put into a basin scale and global scale context of ongoing change. The program will determine the relationship between hydrographic signals in different parts of the ocean basins (particularly the N Atlantic). The program will also provide a method for assimilating data from the thermohaline monitoring arrays into an ocean model that could then be used as part of a coupled climate model for multi-annual climate prediction.

为了充分利用历史研究船记录、自主海洋剖面浮标的新观测和快速气候变化等特殊观测项目，建议将过去40年的所有可用数据同化为一个能够代表海洋性质完整领域的高质量海洋环流模型。通过这种方式，还可以确定对了解海洋在控制气候方面的作用至关重要的南北质量和热量输送等导出量。该项目还将把从当地地区汇编的各种时间序列的观测结果纳入背景，这些观测结果表明，海洋环流和运输在过去几十年中一直在发生重大变化。因此，这些时间序列将被置于盆地尺度和全球尺度的持续变化背景下。该计划将确定海洋盆地（特别是北大西洋）不同部分的水文信号之间的关系。该项目还将提供一种方法，将来自热盐监测阵列的数据吸收到海洋模型中，然后作为多年气候预测的耦合气候模型的一部分使用。

项目成果

The link between the Barents Sea and ENSO events simulated by NEMO model

NEMO模型模拟的巴伦支海与ENSO事件之间的联系

• DOI: 10.5194/os-8-971-2012
• 发表时间: 2012
• 期刊: Ocean Science
• 影响因子: 3.2
• 作者: Stepanov V