2023
DOI: 10.1029/2022gl102468
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Airborne Remote Sensing of Upper‐Ocean and Surface Properties, Currents and Their Gradients From Meso to Submesoscales

Abstract: In this work we present a unique set of coincident and collocated high‐resolution observations of surface currents and directional properties of surface waves collected from an airborne instrument, the Modular Aerial Sensing System, collected off the coast of Southern California. High‐resolution observations of near surface current profiles and shear are obtained using a new instrument, “DoppVis”, capable of capturing horizontal spatial current variability down to 128 m resolution. This data set provides a uni… Show more

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Cited by 9 publications
(9 citation statements)
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References 83 publications
(131 reference statements)
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“…The observations used in this study were collected by the DoppVis instrument (Lenain et al., 2023), a new sensor that is part of the Modular Aerial Sensing System (MASS; Melville et al., 2016), that infers currents from optical observations of the spatio‐temporal evolution, that is, dispersion relationship, of surface waves. This method infers the depth‐resolved Lagrangian current in the upper ocean.…”
Section: Methodsmentioning
confidence: 99%
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“…The observations used in this study were collected by the DoppVis instrument (Lenain et al., 2023), a new sensor that is part of the Modular Aerial Sensing System (MASS; Melville et al., 2016), that infers currents from optical observations of the spatio‐temporal evolution, that is, dispersion relationship, of surface waves. This method infers the depth‐resolved Lagrangian current in the upper ocean.…”
Section: Methodsmentioning
confidence: 99%
“…Confidence intervals of velocity gradient results including kinetic energy flux and fronotgenesis are estimated using a bootstrapped confidence interval and a velocity error of 0.05 m s −1 (Lenain et al., 2023).…”
Section: Methodsmentioning
confidence: 99%
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