Abstract

Satellite altimeters provide continuous information of the sea level variability and mesoscale processes for the global ocean. For estimating the sea level above the geoid and monitoring the full ocean dynamics from altimeters measurements, a key reference surface is needed: The Mean Dynamic Topography (MDT). However, in coastal areas, where, in situ measurements are sparse and the typical scales of the motion are generally smaller than in the deep ocean, the global MDT solutions are less accurate than in the open ocean, even if significant improvement has been done in the past years. An opportunity to fill in this gap has arisen with the growing availability of long time-series of high-resolution HF radar surface velocity measurements in some areas, such as the south-eastern Bay of Biscay. The prerequisite for the computation of a coastal MDT, using the newly available data of surface velocities, was to obtain a robust methodology to remove the ageostrophic signal from the HF radar measurements, in coherence with the scales resolved by the altimetry. To that end, we first filtered out the tidal and inertial motions, and then, we developed and tested a method that removed the Ekman component and the remaining divergent part of the flow. A regional high-resolution hindcast simulation was used to assess the method. Then, the processed HF radar geostrophic velocities were used in synergy with additional in situ data, altimetry, and gravimetry to compute a new coastal MDT, which shows significant improvement compared with the global MDT. This study showcases the benefit of combining satellite data with continuous, high-frequency, and synoptic in situ velocity data from coastal radar measurements; taking advantage of the different scales resolved by each of the measuring systems. The integrated analysis of in situ observations, satellite data, and numerical simulations has provided a further step in the understanding of the local ocean processes, and the new MDT a basis for more reliable monitoring of the study area. Recommendations for the replicability of the methodology in other coastal areas are also provided. Finally, the methods developed in this study and the more accurate regional MDT could benefit present and future high-resolution altimetric missions.

Highlights

  • Satellite altimeters are measuring sea level continuously from 1992, covering the global ocean with revisit periods of at least ∼10 days

  • The information from the HF radar system can be used to assess and eventually to constrain the Mean Dynamic Topography (MDT) locally. This is what we propose to investigate in the present study: open the perspective for the systematic improvement of coastal MDT in areas covered by a HF radar or a network of them

  • The Bay of Biscay coastal MDT is based on a large scale first guess that has been improved by introducing the information from drifters, T/S profiles, and HF radar

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Summary

Introduction

Satellite altimeters are measuring sea level continuously from 1992, covering the global ocean with revisit periods of at least ∼10 days. They provide the scientific community with near realtime along-track data of sea surface height above the reference ellipsoid (SSH). To get rid of geoid errors, oceanographers work with Sea Level Anomalies (SLA), computed by removing a Mean Sea Surface above a reference ellipsoid (MSS) from the SSH and representing the time-dependent variability with respect to a “mean” circulation (e.g., Wunsch and Stammer, 1998). The MDT is a key reference surface needed for estimating the Absolute Dynamic Topography (ADT) (the sea level above the geoid) from altimetric SLA, and for their assimilation into ocean modeling systems. The last solution (CNES-CLS18) provides an accurate estimate of the MDT at spatial scales larger than ∼25 km

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