A multi-frequency altimetry snow depth product over Arctic sea ice

Abstract Sea ice thickness is an essential variable to understand and forecast the dynamic ice cover and can be estimated by satellite altimetry. Nevertheless, it is affected by uncertainties especially from snow depth, a key parameter to derive it from ice freeboard. We developed a snow depth produ...

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Main Authors: Alice Carret, Sara Fleury, Alessandro Di Bella, Jack Landy, Isobel Lawrence, Nathan Kurtz, Antoine Laforge, Jérome Bouffard, Tommaso Parrinello
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-04343-4
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author Alice Carret
Sara Fleury
Alessandro Di Bella
Jack Landy
Isobel Lawrence
Nathan Kurtz
Antoine Laforge
Jérome Bouffard
Tommaso Parrinello
author_facet Alice Carret
Sara Fleury
Alessandro Di Bella
Jack Landy
Isobel Lawrence
Nathan Kurtz
Antoine Laforge
Jérome Bouffard
Tommaso Parrinello
author_sort Alice Carret
collection DOAJ
description Abstract Sea ice thickness is an essential variable to understand and forecast the dynamic ice cover and can be estimated by satellite altimetry. Nevertheless, it is affected by uncertainties especially from snow depth, a key parameter to derive it from ice freeboard. We developed a snow depth product based on the differences between CryoSat-2 SAR Ku and IceSat-2 laser altimeters which have different snow penetration capabilities. We compared this product to other existing snow depth products. This comparison indicates correlations all above 0.37 and reaching 0.91 relative to airborne snow radar. We estimate the snow depth uncertainties of our product to be 0.06 m on average. Combining two frequencies to simultaneously measure ice and total freeboard reduces the uncertainties in ice thickness by around a factor of two compared with a single-frequency solution combined with a snow depth climatology. The lack of in situ measurements is a limiting factor to assess the advantages of coincident CryoSat-2 and ICESat-2 acquisitions. Validation data are of major importance for upcoming missions.
format Article
id doaj-art-9c39548ed7534e8e8d98f3482ada8295
institution Kabale University
issn 2052-4463
language English
publishDate 2025-01-01
publisher Nature Portfolio
record_format Article
series Scientific Data
spelling doaj-art-9c39548ed7534e8e8d98f3482ada82952025-01-19T12:09:39ZengNature PortfolioScientific Data2052-44632025-01-0112112010.1038/s41597-024-04343-4A multi-frequency altimetry snow depth product over Arctic sea iceAlice Carret0Sara Fleury1Alessandro Di Bella2Jack Landy3Isobel Lawrence4Nathan Kurtz5Antoine Laforge6Jérome Bouffard7Tommaso Parrinello8SercoLEGOS, Université de Toulouse, IRD, CNES, CNRS, UPSESA-ESRIN, FrascatiUiTESA-ESRIN, FrascatiNASA Goddard Space Flight CenterLEGOS, Université de Toulouse, IRD, CNES, CNRS, UPSESA-ESRIN, FrascatiESA-ESRIN, FrascatiAbstract Sea ice thickness is an essential variable to understand and forecast the dynamic ice cover and can be estimated by satellite altimetry. Nevertheless, it is affected by uncertainties especially from snow depth, a key parameter to derive it from ice freeboard. We developed a snow depth product based on the differences between CryoSat-2 SAR Ku and IceSat-2 laser altimeters which have different snow penetration capabilities. We compared this product to other existing snow depth products. This comparison indicates correlations all above 0.37 and reaching 0.91 relative to airborne snow radar. We estimate the snow depth uncertainties of our product to be 0.06 m on average. Combining two frequencies to simultaneously measure ice and total freeboard reduces the uncertainties in ice thickness by around a factor of two compared with a single-frequency solution combined with a snow depth climatology. The lack of in situ measurements is a limiting factor to assess the advantages of coincident CryoSat-2 and ICESat-2 acquisitions. Validation data are of major importance for upcoming missions.https://doi.org/10.1038/s41597-024-04343-4
spellingShingle Alice Carret
Sara Fleury
Alessandro Di Bella
Jack Landy
Isobel Lawrence
Nathan Kurtz
Antoine Laforge
Jérome Bouffard
Tommaso Parrinello
A multi-frequency altimetry snow depth product over Arctic sea ice
Scientific Data
title A multi-frequency altimetry snow depth product over Arctic sea ice
title_full A multi-frequency altimetry snow depth product over Arctic sea ice
title_fullStr A multi-frequency altimetry snow depth product over Arctic sea ice
title_full_unstemmed A multi-frequency altimetry snow depth product over Arctic sea ice
title_short A multi-frequency altimetry snow depth product over Arctic sea ice
title_sort multi frequency altimetry snow depth product over arctic sea ice
url https://doi.org/10.1038/s41597-024-04343-4
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