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...
Published in: | Journal of Geophysical Research: Oceans |
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American Geophysical Union
2021
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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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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 |
_version_ |
1790605413570314240 |