The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry

The upcoming technology of wide-swath altimetry from space will enable monitoring the ocean surface at 45 times better spatial resolution and 23 times better accuracy than traditional nadir altimeters. This development will provide a chance to directly observe submesoscale sea surface height (SSH) v...

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Published in:Remote Sensing
Main Authors: Yaremchuk, Max, Beattie, Christopher, Panteleev, Gleb, D’Addezio, Joseph M., Smith, Scott
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2023
Subjects:
Online Access:http://hdl.handle.net/10919/116251
https://doi.org/10.3390/rs15174277
id ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/116251
record_format openpolar
spelling ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/116251 2024-09-15T18:10:05+00:00 The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry Remote Sensing Yaremchuk, Max Beattie, Christopher Panteleev, Gleb D’Addezio, Joseph M. Smith, Scott 2023-08-31 application/pdf http://hdl.handle.net/10919/116251 https://doi.org/10.3390/rs15174277 en eng MDPI Yaremchuk, M.; Beattie, C.; Panteleev, G.; D’Addezio, J.M.; Smith, S. The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry. Remote Sens. 2023, 15, 4277. http://hdl.handle.net/10919/116251 https://doi.org/10.3390/rs15174277 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ swath altimetry error covariance data assimilation Article - Refereed Text 2023 ftvirginiatec https://doi.org/10.3390/rs15174277 2024-06-25T14:21:07Z The upcoming technology of wide-swath altimetry from space will enable monitoring the ocean surface at 45 times better spatial resolution and 23 times better accuracy than traditional nadir altimeters. This development will provide a chance to directly observe submesoscale sea surface height (SSH) variations that have a typical magnitude of a few centimeters. Taking full advantage of this opportunity requires correct treatment of the correlated SSH errors caused by uncertainties in environmental conditions beneath the satellite and in the geometry and orientation of the on-board interferometer. These observation errors are highly correlated both along and across the surface swath scanned by the satellite, and this presents a significant challenge for accurate processing. In particular, the SWOT precision matrix has off-diagonal elements that are too numerous to allow standard approaches to remain tractable. In this study, we explore the utility of a block-diagonal approximation to the SWOT precision matrix in order to reconstruct SSH variability in the region east of Greenland. An extensive set of 2dVar assimilation experiments demonstrates that the sparse approximation proposed for the precision matrix provides accurate SSH retrievals when the background-to-observation error ratio does not exceed 3 and significant wave height is below 2.5 m. We also quantify the range of and significant wave heights over which the retrieval accuracy of the exact spatially correlated SWOT error model will outperform the uncorrelated model. In particular, the estimated range is found to be substantially wider ( <semantics> < 10 </semantics> with significant wave heights below 810 m), indicating the potential benefits of further improving the accuracy of approximations for the SWOT precision matrix. Published version Article in Journal/Newspaper Greenland VTechWorks (VirginiaTech) Remote Sensing 15 17 4277
institution Open Polar
collection VTechWorks (VirginiaTech)
op_collection_id ftvirginiatec
language English
topic swath altimetry
error covariance
data assimilation
spellingShingle swath altimetry
error covariance
data assimilation
Yaremchuk, Max
Beattie, Christopher
Panteleev, Gleb
D’Addezio, Joseph M.
Smith, Scott
The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry
topic_facet swath altimetry
error covariance
data assimilation
description The upcoming technology of wide-swath altimetry from space will enable monitoring the ocean surface at 45 times better spatial resolution and 23 times better accuracy than traditional nadir altimeters. This development will provide a chance to directly observe submesoscale sea surface height (SSH) variations that have a typical magnitude of a few centimeters. Taking full advantage of this opportunity requires correct treatment of the correlated SSH errors caused by uncertainties in environmental conditions beneath the satellite and in the geometry and orientation of the on-board interferometer. These observation errors are highly correlated both along and across the surface swath scanned by the satellite, and this presents a significant challenge for accurate processing. In particular, the SWOT precision matrix has off-diagonal elements that are too numerous to allow standard approaches to remain tractable. In this study, we explore the utility of a block-diagonal approximation to the SWOT precision matrix in order to reconstruct SSH variability in the region east of Greenland. An extensive set of 2dVar assimilation experiments demonstrates that the sparse approximation proposed for the precision matrix provides accurate SSH retrievals when the background-to-observation error ratio does not exceed 3 and significant wave height is below 2.5 m. We also quantify the range of and significant wave heights over which the retrieval accuracy of the exact spatially correlated SWOT error model will outperform the uncorrelated model. In particular, the estimated range is found to be substantially wider ( <semantics> < 10 </semantics> with significant wave heights below 810 m), indicating the potential benefits of further improving the accuracy of approximations for the SWOT precision matrix. Published version
format Article in Journal/Newspaper
author Yaremchuk, Max
Beattie, Christopher
Panteleev, Gleb
D’Addezio, Joseph M.
Smith, Scott
author_facet Yaremchuk, Max
Beattie, Christopher
Panteleev, Gleb
D’Addezio, Joseph M.
Smith, Scott
author_sort Yaremchuk, Max
title The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry
title_short The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry
title_full The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry
title_fullStr The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry
title_full_unstemmed The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry
title_sort effect of spatially correlated errors on sea surface height retrieval from swot altimetry
publisher MDPI
publishDate 2023
url http://hdl.handle.net/10919/116251
https://doi.org/10.3390/rs15174277
genre Greenland
genre_facet Greenland
op_relation Yaremchuk, M.; Beattie, C.; Panteleev, G.; D’Addezio, J.M.; Smith, S. The Effect of Spatially Correlated Errors on Sea Surface Height Retrieval from SWOT Altimetry. Remote Sens. 2023, 15, 4277.
http://hdl.handle.net/10919/116251
https://doi.org/10.3390/rs15174277
op_rights Creative Commons Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs15174277
container_title Remote Sensing
container_volume 15
container_issue 17
container_start_page 4277
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