北极地中海风致时变环流

IF 3.3 2区 地球科学 Q1 OCEANOGRAPHY
A. L. P. Sjur, P. E. Isachsen, J. Nilsson, J. H. LaCasce, M. D. Ryseth
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引用次数: 0

摘要

北冰洋是地球气候系统的关键组成部分,了解该地区的海洋动力学对于预测北极如何应对气候变化至关重要。在这项研究中,我们在北冰洋和北欧海的高分辨率数值模式中研究了海洋环流。基于这次模拟的观测结果,我们重新检验了现有的估计海洋盆地时变大尺度环流的理想线性模型,并对其进行了高度非线性数值模型的检验。理想模型是由线性动量方程导出的积分关系,并假设闭合深度轮廓周围的循环由表面应力驱动并由底部摩擦调节。结果表明,理想模型估计与数值模拟结果吻合较好。这表明大尺度环流的大部分变异性可以用线性过程来解释。特别是,与以前的研究相比,对部分冰覆盖地区的净表面应力的正确描述显著改善了北冰洋线性模式和数值模拟之间的相关性。然而,在之前的研究中没有发现,我们现在发现线性模型可能缺乏气旋倾向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Wind-Driven Time-Variable Circulation in the Arctic Mediterranean

The Wind-Driven Time-Variable Circulation in the Arctic Mediterranean

The Arctic Ocean is a key component of Earth's climate system, and an understanding of ocean dynamics in this region is central for predicting how the Arctic is responding to a changing climate. In this study, we examine the ocean circulation in a high-resolution numerical model of the Arctic Ocean and Nordic Seas. Based on what is observed in this simulation, we reexamine an existing idealized linear model estimating the time-variable large-scale circulation in ocean basins, and test it against the highly nonlinear numerical model. The idealized model is an integral relation derived from the linear momentum equations and assumes that the circulation around a closed depth contour is driven by surface stresses and regulated by bottom friction. We show that the idealized model estimates agree very well with the numerical simulations. This indicates that much of the variability of the large-scale circulation can be explained by linear processes. In particular, a correct description of the net surface stress over partially ice-covered areas improves the correlation between linear model and numerical simulations significantly in the Arctic Ocean compared to a previous study. However, undetected in that previous study, we now find that the linear model might be lacking a cyclonic tendency.

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来源期刊
Journal of Geophysical Research-Oceans
Journal of Geophysical Research-Oceans Earth and Planetary Sciences-Oceanography
CiteScore
7.00
自引率
13.90%
发文量
429
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