Estimating tidal constituents in shallow waters from satellite altimetry using a 2D hydrodynamic model with nonlinear tide-surge interactions.

IF 2.2 3区 地球科学 Q2 OCEANOGRAPHY
Ocean Dynamics Pub Date : 2025-01-01 Epub Date: 2025-03-03 DOI:10.1007/s10236-025-01667-6
Henrique Guarneri, M Verlaan, D C Slobbe, F Zijl, J Pietrzak, L Keyzer, Y Afrasteh, R Klees
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引用次数: 0

Abstract

Tidal models that incorporate satellite altimeter data have historically shown discrepancies in accuracy between shallow and deep marine environments. A recent study suggests that these differences may partly stem from neglecting the nonlinear tide-surge interactions in tidal analyses. In this study, we introduce a novel method for estimating tidal constituents from satellite altimeter data in shallow waters, leveraging a 2D hydrodynamic model that accounts for these nonlinear interactions. This approach substantially reduces the variance of unaccounted water level variability, thereby benefiting the estimation. A distinctive feature of our method is the treatment of prior model tidal constituents as stochastic, which helps manage the low temporal resolution of altimeter data by ensuring that unresolved tidal constituents are not updated. We tested our method in the data-rich northwest European continental shelf region, using the high-resolution 2D Dutch Continental Shelf Model version 7 (DCSM). Results show a substantial reduction in the standard deviations of residual water level time series in the shallow waters around Great Britain and in the German Bight, from 11 cm to 5 cm. In deep waters (>200 m), the median standard deviation decreased from 6.8 cm to 6.2 cm. When compared to state-of-the-art ocean tide and surge corrections from publicly available models, our method outperformed them in shallow waters (median standard deviation of 6.0 cm versus 7.5 cm), though the alternative products performed better in deep waters (median standard deviation of 5.5 cm versus 6.2 cm). An estimate of the accuracy at satellite crossovers resulted in an estimated total tidal error of about 1.5 cm (RSS VD). We acknowledge that comparisons in shallow waters are complicated, as alternative products do not account for nonlinear tide-surge interactions. Overall, the demonstration along-track tidal product developed in this study shows potential for improving the tidal representation in the DCSM model. In data-poor regions, the number of tidal constituents that can be reliably estimated using the method may be limited, and alternative strategies might be needed to evaluate the model's uncertainty in representing tides.

利用具有非线性潮涌相互作用的二维水动力模型从卫星测高数据估算浅海潮汐成分。
结合卫星高度计数据的潮汐模型在历史上显示出浅海和深海环境之间的准确性差异。最近的一项研究表明,这些差异可能部分源于潮汐分析中忽略了非线性潮-浪相互作用。在这项研究中,我们介绍了一种新的方法来估计潮汐成分从卫星高度计数据在浅水,利用二维水动力模型,说明这些非线性相互作用。这种方法大大减少了未考虑的水位变化的方差,从而有利于估计。我们方法的一个显著特点是将先验模型潮汐成分作为随机处理,这有助于通过确保未解决的潮汐成分不更新来管理高度计数据的低时间分辨率。我们在数据丰富的西北欧大陆架地区测试了我们的方法,使用的是高分辨率2D荷兰大陆架模型版本7 (DCSM)。结果表明,英国周围浅水和德国湾的剩余水位时间序列的标准差从11 cm大幅降低到5 cm。在深水区(100 ~ 200米),中位标准差由6.8 cm降至6.2 cm。当与公开可用模型的最先进的海洋潮汐和浪涌校正进行比较时,我们的方法在浅水中表现优于它们(中位标准偏差为6.0 cm对7.5 cm),尽管替代产品在深水中表现更好(中位标准偏差为5.5 cm对6.2 cm)。对卫星交叉精度的估计导致估计总潮汐误差约为1.5厘米(RSS VD)。我们承认浅水的比较是复杂的,因为替代产品不考虑非线性潮涌相互作用。总体而言,本研究开发的沿轨道潮汐产品演示显示了改进DCSM模型中潮汐表示的潜力。在数据贫乏的地区,可以使用该方法可靠地估计潮汐成分的数量可能有限,并且可能需要替代策略来评估模型在表示潮汐方面的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ocean Dynamics
Ocean Dynamics 地学-海洋学
CiteScore
5.40
自引率
0.00%
发文量
37
审稿时长
6-12 weeks
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.
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