A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations

Due to the existence of seasonal or perennial sea ice cover, the determination of the Arctic sea surface is more difficult than that of mid-low latitudinal oceans. Focusing on the sea surface height in the ice-covered region, this paper constructs a new Arctic mean sea surface (MSS) model, named SUS...

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Main Authors: Guodong Chen, Zhijie Zhang, Stine Kildegaard Rose, Ole Baltazar Andersen, Shengjun Zhang, Taoyong Jin
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:International Journal of Digital Earth
Subjects:
Online Access:http://dx.doi.org/10.1080/17538947.2022.2153181
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author Guodong Chen
Zhijie Zhang
Stine Kildegaard Rose
Ole Baltazar Andersen
Shengjun Zhang
Taoyong Jin
author_facet Guodong Chen
Zhijie Zhang
Stine Kildegaard Rose
Ole Baltazar Andersen
Shengjun Zhang
Taoyong Jin
author_sort Guodong Chen
collection DOAJ
description Due to the existence of seasonal or perennial sea ice cover, the determination of the Arctic sea surface is more difficult than that of mid-low latitudinal oceans. Focusing on the sea surface height in the ice-covered region, this paper constructs a new Arctic mean sea surface (MSS) model, named SUST22, by combining the measurements from ICESat and Cryosat-2 missions. The lead detection methods of ICESat and Cryosat-2 are first studied and modified to acquire sea surface measurements with better accuracy. The results have shown that the standard deviation of Cryosat-2-derived Arctic sea surface height is about 3–4 cm in 10-km resolution grids, while the value of ICESat is 5–6 cm. Then the MSS construction procedure is discussed and the SUST22 MSS model is constructed. The new model is compared with the other four Arctic MSS models. The best agreement is found between SUST22 and DTU21 with an average difference of −4.0 ± 5.2 cm. These models are also validated by ICESat-2 samples. The average difference between ICESat-2 and SUST22 is 15.8 ± 7.4 cm, which shows that the new model SUST22 presents better consistency with the ICESat-2 than any of the other models.
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spelling doaj.art-2cf7bc4475934d4180e4e9ee20d58e542023-09-21T14:57:12ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552022-12-011512202222210.1080/17538947.2022.21531812153181A new Arctic MSS model derived from combined Cryosat-2 and ICESat observationsGuodong Chen0Zhijie Zhang1Stine Kildegaard Rose2Ole Baltazar Andersen3Shengjun Zhang4Taoyong Jin5Suzhou University of Science and TechnologySuzhou University of Science and TechnologyNational Space Institute, Technical University of DenmarkNational Space Institute, Technical University of DenmarkNortheastern UniversityWuhan UniversityDue to the existence of seasonal or perennial sea ice cover, the determination of the Arctic sea surface is more difficult than that of mid-low latitudinal oceans. Focusing on the sea surface height in the ice-covered region, this paper constructs a new Arctic mean sea surface (MSS) model, named SUST22, by combining the measurements from ICESat and Cryosat-2 missions. The lead detection methods of ICESat and Cryosat-2 are first studied and modified to acquire sea surface measurements with better accuracy. The results have shown that the standard deviation of Cryosat-2-derived Arctic sea surface height is about 3–4 cm in 10-km resolution grids, while the value of ICESat is 5–6 cm. Then the MSS construction procedure is discussed and the SUST22 MSS model is constructed. The new model is compared with the other four Arctic MSS models. The best agreement is found between SUST22 and DTU21 with an average difference of −4.0 ± 5.2 cm. These models are also validated by ICESat-2 samples. The average difference between ICESat-2 and SUST22 is 15.8 ± 7.4 cm, which shows that the new model SUST22 presents better consistency with the ICESat-2 than any of the other models.http://dx.doi.org/10.1080/17538947.2022.2153181arcticicesatcryosat-2msslead detection
spellingShingle Guodong Chen
Zhijie Zhang
Stine Kildegaard Rose
Ole Baltazar Andersen
Shengjun Zhang
Taoyong Jin
A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations
International Journal of Digital Earth
arctic
icesat
cryosat-2
mss
lead detection
title A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations
title_full A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations
title_fullStr A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations
title_full_unstemmed A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations
title_short A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations
title_sort new arctic mss model derived from combined cryosat 2 and icesat observations
topic arctic
icesat
cryosat-2
mss
lead detection
url http://dx.doi.org/10.1080/17538947.2022.2153181
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