Nam Thanh Pham, Joanna Staneva, Antonio Bonaduce, Emil V. Stanev, Sebastian Grayek
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引用次数: 0
摘要
本文介绍了利用卡尔曼滤波法重建北海和波罗的海海平面的情况。该方法基于 Geesthacht COAstal Model SysTem(GCOAST)的一年海平面日图的统计特征和两个流域沿岸验潮仪的日数据,能够有效、准确地重建多年代海平面异常。然后,利用高精度重建数据研究了两个流域的年际变化,并估算了通过丹麦海峡的流出量和流入量之差(净通量)。海平面异常的最高平均值、标准偏差和极端值出现在冬季,并在不同区域得到了很好的再现,如德国湾、北海南部、波的尼亚湾、芬兰湾和里加湾。海平面变化与平均海平面气压和带状风高度相关,尤其是在德国港湾和冬季。河流径流和净降水量对春季净通量的影响很大。本地风对净通量的影响比远距离风的影响更大。
Interannual sea level variability in the North and Baltic seas and net flux through the Danish straits
The paper presents the reconstruction of sea levels in the North Sea and Baltic Sea using Kalman filter approach. Based on the statistical characteristics of one year of daily maps of sea level from the Geesthacht COAstal model SysTem (GCOAST) and daily data at tide gauges along the coastline of two basins, the method can reconstruct effectively and accurately the multidecadal sea level anomalies. The high accuracy reconstruction data were then used to investigate the interannual variability in both basins and to estimate the difference between outflows and inflows (net flux) through the Danish Straits. The highest mean, standard deviation, and extreme values of sea level anomalies appear in winter and are well reproduced in different regions, such as the German Bight, the Southern North Sea, the Bothnian Bay, the Gulfs of Finland and Riga. The sea level variability is highly correlated with the mean sea level pressure and the zonal wind, particularly in the German Bight and in the winter months. The contributions of river runoff and net precipitation on the net flux are significant in the spring. The local wind has a greater influence on the net flux than the remote drivers.
期刊介绍:
Ocean Dynamics is an international journal that aims to publish high-quality peer-reviewed articles in the following areas of research:
Theoretical oceanography (new theoretical concepts that further system understanding with a strong view to applicability for operational or monitoring purposes);
Computational oceanography (all aspects of ocean modeling and data analysis);
Observational oceanography (new techniques or systematic approaches in measuring oceanic variables, including all aspects of monitoring the state of the ocean);
Articles with an interdisciplinary character that encompass research in the fields of biological, chemical and physical oceanography are especially encouraged.