芬兰湾10年期间盐度和温度垂直分布的测量和模拟的时间变率分析

Jelena Passenko, G. Lessin, U. Raudsepp, I. Maljutenko, T. Neumann, J. Laanemets
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引用次数: 3

摘要

芬兰湾是波罗的海受富营养化影响严重的次海盆。采用通用河口输运模型(General estuary Transport Model, GETM)对1997 - 2005年墨西哥湾的水物理场进行了模拟。水动力模拟结果是生态系统模拟的重要输入,其中盐度和温度变化起着最重要的作用。盐度场的准确模拟在一定程度上证明了被动生化示踪剂的运移也可以被正确模拟。本研究对GETM的结果进行了验证,并与模块化海洋模型(MOM)进行了比较。这两种模式在用于求解模式方程的数值格式、模式设置以及某种程度上的强迫方面有所不同。首先将GETM得到的地底温度和盐度时间序列与实测数据进行了直观比较。使用了代表墨西哥湾西部、中部和东部的三个HELCOM监测站的长期测量数据。在本研究中,我们将重点放在泰勒图上,它提供了模式对应程度的快速总结,并允许查看模型如何很好地模拟自然模式。为了进行统计分析,地表温度和盐度给出了5 m深度的值,底部盐度和温度是进行测量的最低深度(约60 m)的相应值。两种模型的验证结果分组相似。模拟的地表温度与三个站点的观测数据吻合较好。两种模型的均方根误差(RMSE)在0.2 ~ 0.4之间,相关系数在0.94 ~ 0.98之间,标准化标准差在0.9 ~ 1.1之间。因此,可以很好地再现上层的季节周期。底部温度、表面和底部盐度的再现质量较低。墨西哥湾西部和中部的海底温度比东部的海底温度重现得更好。GETM对各台站地表盐度的模拟质量相同,而MOM对海湾中部盐度的模拟效果优于东部和西部。MOM比GETM更能模拟海底盐度。后者由于空间分辨率较高,变异性较大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of temporal variability of measured and modeled vertical distributions of salinity and temperature in the Gulf of Finland during 10-year period
The Gulf of Finland is the sub-basin of the Baltic Sea seriously affected by eutrophication. General Estuarine Transport Model (GETM) was used for modeling hydrophysical fields of the Gulf during the period from 1997 to 2005. The results of the hydrodynamic modeling are important input for ecosystem modeling, in which salinity and temperature variations play the most important role. An accurately simulated salinity field is to some extent a proof that the transport of passive bio-chemical tracers can also be simulated correctly. In this study validation of the results of GETM is performed and comparison with Modular Ocean Model (MOM) is provided. These two models differ in numerical schemes that are used for solving the model equations, in model setup and to some extent in forcing. At first the time series of surface and bottom temperature and salinity from GETM are visually compared with measurements. Long-term measurement data from three HELCOM monitoring stations representing western, central and eastern parts of the Gulf were used. In this study we focus on Taylor diagram that provides quick summary of the degree of patterns correspondence and allows seeing how well model simulates natural pattern. For statistical analysis the surface temperature and salinity have been given the values at a depth of 5 m, and the bottom salinity and temperature are the corresponding values at the lowest depth (about 60 m) at which measurements were carried out. The validation results were grouped similarly for both models. Modeled surface temperature showed good agreement with observed data in all three stations. Root mean square error (RMSE) was between 0.2 and 0.4, correlation coefficients between 0.94 and 0.98 and normalized standard deviations between 0.9 and 1.1 for the both models. Thus, seasonal cycles in the upper layer were reproduced well. Bottom temperatures and surface and bottom salinities were reproduced with lower quality. Bottom temperatures were better reproduced in the western and central Gulf than in the eastern Gulf. Surface salinity was simulated with the same quality in all stations by GETM, while MOM reproduced salinity better in the central Gulf compared to the eastern and western part. Bottom salinities were better simulated by MOM than by GETM. The latter showed larger variability due to higher spatial resolution.
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