Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations

As the resolution of observations and models improves, emerging evidence indicates that ocean variability on 1–200‐km scales is of fundamental importance to ocean circulation, air‐sea interaction, and biogeochemistry. In many regions, salinity variability dominates over thermal effects in forming de...

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Published in:Journal of Geophysical Research: Oceans
Main Authors: Barceló-Llull, Bàrbara, Drushka, Kyla, Gaube, Peter
Other Authors: National Aeronautics and Space Administration (US), European Commission
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union 2021
Subjects:
Online Access:http://hdl.handle.net/10261/230392
https://doi.org/10.1029/2020JC016477
https://doi.org/10.13039/501100000780
https://doi.org/10.13039/100000104
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record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/230392 2024-02-11T10:07:14+01:00 Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations Barceló-Llull, Bàrbara Drushka, Kyla Gaube, Peter National Aeronautics and Space Administration (US) European Commission 2021-03 http://hdl.handle.net/10261/230392 https://doi.org/10.1029/2020JC016477 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/100000104 en eng American Geophysical Union #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/862626 Publisher's version Barceló-Llull, Bàrbara; Drushka, Kyla; Gaube, Peter; 2020; Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"; DIGITAL.CSIC; http://dx.doi.org/10.20350/digitalCSIC/12830 https://doi.org/10.1029/2020JC016477 No Journal of Geophysical Research: Oceans 126(3): e2020JC016477 (2021) http://hdl.handle.net/10261/230392 doi:10.1029/2020JC016477 2169-9291 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/100000104 open Lagrangian methods Lagrangian reconstruction Ocean salinity Remote sensing Submesoscale artículo http://purl.org/coar/resource_type/c_6501 2021 ftcsic https://doi.org/10.1029/2020JC01647710.13039/50110000078010.13039/10000010410.20350/digitalCSIC/12830 2024-01-16T11:03:12Z As the resolution of observations and models improves, emerging evidence indicates that ocean variability on 1–200‐km scales is of fundamental importance to ocean circulation, air‐sea interaction, and biogeochemistry. In many regions, salinity variability dominates over thermal effects in forming density fronts. Unfortunately, current satellite observations of sea surface salinity (SSS) only resolve scales ≥40 km (or larger, depending on the product). In this study, we investigate small‐scale variability (≲25 km) by reconstructing gridded SSS observations made by the Soil Moisture Active Passive (SMAP) satellite in the northwest Atlantic Ocean. Using altimetric geostrophic currents, we numerically advect SMAP SSS fields to produce a Lagrangian reconstruction that represents small scales. Reconstructed fields are compared to in‐situ salinity observations made by a ship‐board thermosalinograph, revealing a marked improvement in small‐scale salinity variability when compared to the original SMAP fields, particularly from the continental shelf to the Gulf Stream. In the Sargasso Sea, however, both SMAP and the reconstructed fields contain higher variability than is observed in situ. Enhanced small‐scale salinity variability is concentrated in two bands: a northern band aligned with the continental shelfbreak and a southern band aligned with the Gulf Stream mean position. Seasonal differences in the small‐scale variability appear to covary with the seasonal cycle of the large‐scale SSS gradients resulting from the freshening of the coastal waters during periods of elevated river outflow. This study has been developed in the framework of the (Sub)mesoscale Salinity Variability at Fronts project (NNX17AK04G) funded by the National Aeronautics and Space Administration (NASA). https://doi.org/10.20350/digitalCSIC/12830 (Barceló‐Llull et al., 2020). During the revision of the manuscript, Bàrbara Barceló‐Llull was working at IMEDEA (CSIC‐UIB, Spain) in the framework of the EuroSea project that has received funding from ... Article in Journal/Newspaper Northwest Atlantic Digital.CSIC (Spanish National Research Council) Journal of Geophysical Research: Oceans 126 3
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language English
topic Lagrangian methods
Lagrangian reconstruction
Ocean salinity
Remote sensing
Submesoscale
spellingShingle Lagrangian methods
Lagrangian reconstruction
Ocean salinity
Remote sensing
Submesoscale
Barceló-Llull, Bàrbara
Drushka, Kyla
Gaube, Peter
Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations
topic_facet Lagrangian methods
Lagrangian reconstruction
Ocean salinity
Remote sensing
Submesoscale
description As the resolution of observations and models improves, emerging evidence indicates that ocean variability on 1–200‐km scales is of fundamental importance to ocean circulation, air‐sea interaction, and biogeochemistry. In many regions, salinity variability dominates over thermal effects in forming density fronts. Unfortunately, current satellite observations of sea surface salinity (SSS) only resolve scales ≥40 km (or larger, depending on the product). In this study, we investigate small‐scale variability (≲25 km) by reconstructing gridded SSS observations made by the Soil Moisture Active Passive (SMAP) satellite in the northwest Atlantic Ocean. Using altimetric geostrophic currents, we numerically advect SMAP SSS fields to produce a Lagrangian reconstruction that represents small scales. Reconstructed fields are compared to in‐situ salinity observations made by a ship‐board thermosalinograph, revealing a marked improvement in small‐scale salinity variability when compared to the original SMAP fields, particularly from the continental shelf to the Gulf Stream. In the Sargasso Sea, however, both SMAP and the reconstructed fields contain higher variability than is observed in situ. Enhanced small‐scale salinity variability is concentrated in two bands: a northern band aligned with the continental shelfbreak and a southern band aligned with the Gulf Stream mean position. Seasonal differences in the small‐scale variability appear to covary with the seasonal cycle of the large‐scale SSS gradients resulting from the freshening of the coastal waters during periods of elevated river outflow. This study has been developed in the framework of the (Sub)mesoscale Salinity Variability at Fronts project (NNX17AK04G) funded by the National Aeronautics and Space Administration (NASA). https://doi.org/10.20350/digitalCSIC/12830 (Barceló‐Llull et al., 2020). During the revision of the manuscript, Bàrbara Barceló‐Llull was working at IMEDEA (CSIC‐UIB, Spain) in the framework of the EuroSea project that has received funding from ...
author2 National Aeronautics and Space Administration (US)
European Commission
format Article in Journal/Newspaper
author Barceló-Llull, Bàrbara
Drushka, Kyla
Gaube, Peter
author_facet Barceló-Llull, Bàrbara
Drushka, Kyla
Gaube, Peter
author_sort Barceló-Llull, Bàrbara
title Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations
title_short Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations
title_full Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations
title_fullStr Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations
title_full_unstemmed Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations
title_sort lagrangian reconstruction to extract small‐scale salinity variability from smap observations
publisher American Geophysical Union
publishDate 2021
url http://hdl.handle.net/10261/230392
https://doi.org/10.1029/2020JC016477
https://doi.org/10.13039/501100000780
https://doi.org/10.13039/100000104
genre Northwest Atlantic
genre_facet Northwest Atlantic
op_relation #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/862626
Publisher's version
Barceló-Llull, Bàrbara; Drushka, Kyla; Gaube, Peter; 2020; Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"; DIGITAL.CSIC; http://dx.doi.org/10.20350/digitalCSIC/12830
https://doi.org/10.1029/2020JC016477
No
Journal of Geophysical Research: Oceans 126(3): e2020JC016477 (2021)
http://hdl.handle.net/10261/230392
doi:10.1029/2020JC016477
2169-9291
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/100000104
op_rights open
op_doi https://doi.org/10.1029/2020JC01647710.13039/50110000078010.13039/10000010410.20350/digitalCSIC/12830
container_title Journal of Geophysical Research: Oceans
container_volume 126
container_issue 3
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