Diagnosing Frontal Dynamics From Observations Using a Variational Approach-Reference-Cited by-同舟云学术

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Diagnosing Frontal Dynamics From Observations Using a Variational Approach

Published:2022-10-27 Issue:11 Volume:127 Page:
ISSN:2169-9275
Container-title:Journal of Geophysical Research: Oceans
language:en
Short-container-title:JGR Oceans

Author:

Cutolo Eugenio¹^ORCID,Pascual Ananda¹^ORCID,Ruiz Simón¹^ORCID,Shaun Johnston T. M.²^ORCID,Freilich Mara³^ORCID,Mahadevan Amala³,Shcherbina Andrey⁴^ORCID,Poulain Pierre‐Marie⁵^ORCID,Ozgokmen Tamay⁶^ORCID,Centurioni Luca R.²,Rudnick Daniel L.²^ORCID,D’Asaro Eric⁴

Affiliation:

1. IMEDEA (CSIC‐UIB) Esporles Spain

2. Scripps Institution of Oceanography La Jolla CA USA

3. Woods Hole Oceanographic Institution Woods Hole MA USA

4. Applied Physics Laboratory Seattle WA USA

5. NATO La Spezia Italy

6. University of Miami Miami FL USA

Funder

Ministerio de Ciencia, Innovación y Universidades

Office of Naval Research

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JC018336

Reference47 articles.

1. Mesoscale subduction at the Almeria–Oran front

2. divand-1.0: <i>n</i>-dimensional variational data analysis for ocean observations

3. Performance of Autonomous Lagrangian Floats

4. Windspharm: A High-Level Library for Global Wind Field Computations Using Spherical Harmonics

5. The Parcels v2.0 Lagrangian framework: new field interpolation schemes

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