Reconstruction of the Surface Inshore Labrador Current from SWOT Sea Surface Height Measurements
Utilizing a high-resolution (2-km) coastal ocean model output off Eastern Newfoundland, this paper explores the potential for reconstructing the sea surface height (SSH) and the surface inshore Labrador Current from high-resolution SSH data of the upcoming Surface Water and Ocean Topography (SWOT) s...
Published in: | Remote Sensing |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2019
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs11111264 https://doaj.org/article/6ac06810df2c453f84c73103290b8666 |
id |
ftdoajarticles:oai:doaj.org/article:6ac06810df2c453f84c73103290b8666 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:6ac06810df2c453f84c73103290b8666 2023-05-15T17:22:28+02:00 Reconstruction of the Surface Inshore Labrador Current from SWOT Sea Surface Height Measurements Zhimin Ma Guoqi Han 2019-05-01T00:00:00Z https://doi.org/10.3390/rs11111264 https://doaj.org/article/6ac06810df2c453f84c73103290b8666 EN eng MDPI AG https://www.mdpi.com/2072-4292/11/11/1264 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11111264 https://doaj.org/article/6ac06810df2c453f84c73103290b8666 Remote Sensing, Vol 11, Iss 11, p 1264 (2019) altimetry application SWOT sea surface height sea surface current inshore Labrador Current optimal interpolation Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11111264 2022-12-31T16:06:39Z Utilizing a high-resolution (2-km) coastal ocean model output off Eastern Newfoundland, this paper explores the potential for reconstructing the sea surface height (SSH) and the surface inshore Labrador Current from high-resolution SSH data of the upcoming Surface Water and Ocean Topography (SWOT) satellite mission. The model results are evaluated against in-situ data from tide gauges and nadir altimetry for the period from June to October, 2010. The hourly model SSH output is used as true SSH and sampled along-swath with expected measurement errors by using a SWOT simulator, which produces SWOT-like data. We reconstruct half-day SSH fields from the SWOT-like data using optimal interpolation and average them into weekly fields. The average normalized root-mean-square difference between the weekly reconstructed SSH field and the model SSH filed is 0.07 for the inshore Labrador Current. Between the geostrophic surface current derived from the reconstructed SSH field and the model surface current, the average normalized root-mean-square difference is 0.26 for the inshore Labrador Current. For the surface unit-depth transport of the inshore Labrador Current, the normalized root-mean-square differences are 0.32−0.38 between the reconstructed current and the model current. Article in Journal/Newspaper Newfoundland Directory of Open Access Journals: DOAJ Articles Newfoundland Remote Sensing 11 11 1264 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
altimetry application SWOT sea surface height sea surface current inshore Labrador Current optimal interpolation Science Q |
spellingShingle |
altimetry application SWOT sea surface height sea surface current inshore Labrador Current optimal interpolation Science Q Zhimin Ma Guoqi Han Reconstruction of the Surface Inshore Labrador Current from SWOT Sea Surface Height Measurements |
topic_facet |
altimetry application SWOT sea surface height sea surface current inshore Labrador Current optimal interpolation Science Q |
description |
Utilizing a high-resolution (2-km) coastal ocean model output off Eastern Newfoundland, this paper explores the potential for reconstructing the sea surface height (SSH) and the surface inshore Labrador Current from high-resolution SSH data of the upcoming Surface Water and Ocean Topography (SWOT) satellite mission. The model results are evaluated against in-situ data from tide gauges and nadir altimetry for the period from June to October, 2010. The hourly model SSH output is used as true SSH and sampled along-swath with expected measurement errors by using a SWOT simulator, which produces SWOT-like data. We reconstruct half-day SSH fields from the SWOT-like data using optimal interpolation and average them into weekly fields. The average normalized root-mean-square difference between the weekly reconstructed SSH field and the model SSH filed is 0.07 for the inshore Labrador Current. Between the geostrophic surface current derived from the reconstructed SSH field and the model surface current, the average normalized root-mean-square difference is 0.26 for the inshore Labrador Current. For the surface unit-depth transport of the inshore Labrador Current, the normalized root-mean-square differences are 0.32−0.38 between the reconstructed current and the model current. |
format |
Article in Journal/Newspaper |
author |
Zhimin Ma Guoqi Han |
author_facet |
Zhimin Ma Guoqi Han |
author_sort |
Zhimin Ma |
title |
Reconstruction of the Surface Inshore Labrador Current from SWOT Sea Surface Height Measurements |
title_short |
Reconstruction of the Surface Inshore Labrador Current from SWOT Sea Surface Height Measurements |
title_full |
Reconstruction of the Surface Inshore Labrador Current from SWOT Sea Surface Height Measurements |
title_fullStr |
Reconstruction of the Surface Inshore Labrador Current from SWOT Sea Surface Height Measurements |
title_full_unstemmed |
Reconstruction of the Surface Inshore Labrador Current from SWOT Sea Surface Height Measurements |
title_sort |
reconstruction of the surface inshore labrador current from swot sea surface height measurements |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11111264 https://doaj.org/article/6ac06810df2c453f84c73103290b8666 |
geographic |
Newfoundland |
geographic_facet |
Newfoundland |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
Remote Sensing, Vol 11, Iss 11, p 1264 (2019) |
op_relation |
https://www.mdpi.com/2072-4292/11/11/1264 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11111264 https://doaj.org/article/6ac06810df2c453f84c73103290b8666 |
op_doi |
https://doi.org/10.3390/rs11111264 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
11 |
container_start_page |
1264 |
_version_ |
1766109149029990400 |