Published In

Journal of Atmospheric and Oceanic Technology

Document Type

Article

Publication Date

12-2018

Subjects

Sea level -- Measurement, Sea level -- Maps, Oceanography -- Measurement -- Remote sensing, Baroclinic models

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 cmin 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.

Description

To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by the American Meteorological Society and can be found at: https://doi.org/10.1175/JTECH-D-18-0089.1.

Originally appeared in the Journal of Atmospheric and Oceanic Technology, December 2018. May be found at https://journals.ametsoc.org/doi/abs/10.1175/JTECH-D-18-0089.1.

DOI

10.1175/JTECH-D-18-0089.1

Persistent Identifier

https://archives.pdx.edu/ds/psu/27210

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