Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements
One of the key sources of uncertainties in sea ice freeboard and thickness estimates derived from satellite radar altimetry results from changes in sea ice surface properties. In this study, we analyse this effect, comparing upward-looking sonar (ULS) measurements in the Beaufort Sea over the period...
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2020
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Online Access: | https://doi.org/10.3390/rs12183094 https://doaj.org/article/ad2e48f56f3f43ad988f358b6fbebcf9 |
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ftdoajarticles:oai:doaj.org/article:ad2e48f56f3f43ad988f358b6fbebcf9 2023-05-15T15:40:33+02:00 Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements Kirill Khvorostovsky Stefan Hendricks Eero Rinne 2020-09-01T00:00:00Z https://doi.org/10.3390/rs12183094 https://doaj.org/article/ad2e48f56f3f43ad988f358b6fbebcf9 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/18/3094 https://doaj.org/toc/2072-4292 doi:10.3390/rs12183094 2072-4292 https://doaj.org/article/ad2e48f56f3f43ad988f358b6fbebcf9 Remote Sensing, Vol 12, Iss 3094, p 3094 (2020) sea ice thickness radar altimetry validation surface properties Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12183094 2022-12-31T16:17:47Z One of the key sources of uncertainties in sea ice freeboard and thickness estimates derived from satellite radar altimetry results from changes in sea ice surface properties. In this study, we analyse this effect, comparing upward-looking sonar (ULS) measurements in the Beaufort Sea over the period 2003–2018 to sea ice draft derived from Envisat and Cryosat-2 data. We show that the sea ice draft growth underestimation observed for the most of winter seasons depends on the surface properties preconditioned by the melt intensity during the preceding summer. The comparison of sea ice draft time series in the Cryosat-2 era indicates that applying 50% retracker thresholds, used to produce the European Space Agency’s Climate Change Initiative (CCI) product, provide better agreement between satellite retrievals and ULS data than the 80% threshold that is closer to the expected physical waveform interpretation. Our results, therefore, indicate compensating error contributions in the full end-to-end sea-ice thickness processing chain, which prevents the quantification of individual factors with sea-ice thickness/draft validation data alone. Article in Journal/Newspaper Beaufort Sea Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 12 18 3094 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
sea ice thickness radar altimetry validation surface properties Science Q |
spellingShingle |
sea ice thickness radar altimetry validation surface properties Science Q Kirill Khvorostovsky Stefan Hendricks Eero Rinne Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements |
topic_facet |
sea ice thickness radar altimetry validation surface properties Science Q |
description |
One of the key sources of uncertainties in sea ice freeboard and thickness estimates derived from satellite radar altimetry results from changes in sea ice surface properties. In this study, we analyse this effect, comparing upward-looking sonar (ULS) measurements in the Beaufort Sea over the period 2003–2018 to sea ice draft derived from Envisat and Cryosat-2 data. We show that the sea ice draft growth underestimation observed for the most of winter seasons depends on the surface properties preconditioned by the melt intensity during the preceding summer. The comparison of sea ice draft time series in the Cryosat-2 era indicates that applying 50% retracker thresholds, used to produce the European Space Agency’s Climate Change Initiative (CCI) product, provide better agreement between satellite retrievals and ULS data than the 80% threshold that is closer to the expected physical waveform interpretation. Our results, therefore, indicate compensating error contributions in the full end-to-end sea-ice thickness processing chain, which prevents the quantification of individual factors with sea-ice thickness/draft validation data alone. |
format |
Article in Journal/Newspaper |
author |
Kirill Khvorostovsky Stefan Hendricks Eero Rinne |
author_facet |
Kirill Khvorostovsky Stefan Hendricks Eero Rinne |
author_sort |
Kirill Khvorostovsky |
title |
Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements |
title_short |
Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements |
title_full |
Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements |
title_fullStr |
Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements |
title_full_unstemmed |
Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements |
title_sort |
surface properties linked to retrieval uncertainty of satellite sea-ice thickness with upward-looking sonar measurements |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12183094 https://doaj.org/article/ad2e48f56f3f43ad988f358b6fbebcf9 |
genre |
Beaufort Sea Sea ice |
genre_facet |
Beaufort Sea Sea ice |
op_source |
Remote Sensing, Vol 12, Iss 3094, p 3094 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/18/3094 https://doaj.org/toc/2072-4292 doi:10.3390/rs12183094 2072-4292 https://doaj.org/article/ad2e48f56f3f43ad988f358b6fbebcf9 |
op_doi |
https://doi.org/10.3390/rs12183094 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
18 |
container_start_page |
3094 |
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1766373015016177664 |