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中尺度海平面异常图中的混叠潮汐变化。

Aliased Tidal Variability in Mesoscale Sea Level Anomaly Maps.

作者信息

Zaron Edward D, Ray Richard D

机构信息

Portland State University, Portland, Oregon.

NASA Goddard Space Flight Center, Greenbelt, Maryland.

出版信息

J Atmos Ocean Technol. 2018 Dec 21;35(12):2421-2435. doi: 10.1175/JTECH-D-18-0089.1.

DOI:10.1175/JTECH-D-18-0089.1
PMID:32020983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6999748/
Abstract

Sea level anomaly (SLA) maps are routinely produced by objective analysis of data from the constellation of satellite altimeter missions in operation since 1992. Beginning in 2014, changes in the Data Unification and Altimeter Combination System (DUACS) used to create the SLA maps resulted in improved spatial resolution of mesoscale variability, but it also increased the levels of aliased tidal variability compared to the methodology employed prior to 2014. The present work investigates the magnitude and spatial distribution of these tidal signals, which are typically smaller than 1 cm in the open ocean but can reach tens of centimeters in the coastal ocean. In the open ocean, the signals are caused by a combination of phase-locked and phase-variable baroclinic tides. In the coastal ocean, the signals are a combination of aliased high-frequency nontidal variability and aliased variability caused by erroneous tidal corrections applied to the along-track altimetry prior to objective analysis. Several low-pass and bandpass filters are implemented to reduce the tidal signals in the mapped SLA, and independent tide gauge data are used to provide an objective assessment of the performance of the filters. The filter that attenuates both the small-scale (less than 200 km) and the high-frequency (period shorter than 108 days) components of SLA removes aliased baroclinic tidal variability and improves the accuracy of tidal analysis in the open ocean while also performing acceptably in the coastal ocean.

摘要

海平面异常(SLA)图通常是通过对自1992年以来运行的卫星高度计任务星座的数据进行客观分析而生成的。从2014年开始,用于创建SLA图的数据统一和高度计组合系统(DUACS)的变化提高了中尺度变率的空间分辨率,但与2014年之前采用的方法相比,它也增加了混叠潮汐变率的水平。本研究调查了这些潮汐信号的大小和空间分布,这些信号在开阔海洋中通常小于1厘米,但在沿海海洋中可达数十厘米。在开阔海洋中,信号是由锁相和相位可变斜压潮汐的组合引起的。在沿海海洋中,信号是混叠高频非潮汐变率和在客观分析之前应用于沿轨高度计的错误潮汐校正所引起的混叠变率的组合。实施了几种低通和带通滤波器以减少映射的SLA中的潮汐信号,并使用独立的验潮仪数据对滤波器的性能进行客观评估。衰减SLA的小尺度(小于200公里)和高频(周期短于108天)成分的滤波器消除了混叠斜压潮汐变率,提高了开阔海洋中潮汐分析的准确性,同时在沿海海洋中的表现也可以接受。

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