Diagnosing Frontal Dynamics From Observations Using a Variational Approach

Abstract

Intensive hydrographic and horizontal velocity measurements collected in the Alboran Sea enabled us to diagnose the three‐dimensional dynamics of a frontal system. The sampled domain was characterized by a 40 km diameter anticyclonic eddy, with an intense front on its eastern side, separating the Atlantic and Mediterranean waters. Here, we implemented a multi‐variate variational analysis (VA) to reconstruct the hydrographic fields, combining the 1‐km horizontal resolution of the Underway Conductivity‐Temperature‐Depth (CTD) system with information on the flow shape from the Acoustic Doppler Current Profiler velocities. One advantage of the VA is given by the physical constraint, which preserves fine‐scale gradients better than the classical optimal interpolation (OI). A comparison between real drifter trajectories and virtual particles advected in the mapping quantified the improvements in the VA over the OI, with a 15% larger skill score. Quasi‐geostrophic (QG) and semi‐geostrophic (SG) omega equations enabled us to estimate the vertical velocity (w) which reached 40 m/day on the dense side of the front. How nutrients and other passive tracers leave the mixed‐layer and subduct is estimated with 3D advection from the VA, which agreed with biological sampling from traditional CTD casts at two eddy locations. Downwelling warm filaments are further evidence of subduction, in line with the w from SG, but not with QG. SG better accounted for the along‐isopycnal component of w in agreement with another analysis made on isopycnal coordinates. The multi‐platform approach of this work and the use of variational methods improved the characterization and understanding of (sub)‐mesoscale frontal dynamics.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 27, 2022
Source ID
10.1029/2021jc018336

Entities

People

  • Amala Mahadevan
  • Ananda Pascual
  • Andrey Y. Shcherbina
  • Daniel L. Rudnick
  • Eric A. D'Asaro
  • Eugenio Cutolo
  • Luca R. Centurioni
  • Mara A Freilich
  • Pierre-Marie Poulain
  • S. Johnston
  • Simón Ruiz
  • Tamay M. Özgökmen

Organizations

  • Johns Hopkins University Applied Physics Laboratory
  • Ministry of Science, Innovation and Universities
  • NATO
  • Office of Naval Research
  • Scripps Institution of Oceanography
  • Spanish National Research Council
  • University of Miami
  • Woods Hole Oceanographic Institution

Tags

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Oceanography.