Mean sea surface and mean dynamic topography determination from Cryosat-2 data around Australia

Article


Agha Karimi, Armin, Andersen, Ole Baltazar and Deng, Xiaoli. 2021. "Mean sea surface and mean dynamic topography determination from Cryosat-2 data around Australia." Advances in Space Research. 68 (2), pp. 1073-1089. https://doi.org/10.1016/j.asr.2020.01.009
Article Title

Mean sea surface and mean dynamic topography determination from Cryosat-2 data around Australia

ERA Journal ID1950
Article CategoryArticle
AuthorsAgha Karimi, Armin (Author), Andersen, Ole Baltazar (Author) and Deng, Xiaoli (Author)
Journal TitleAdvances in Space Research
Journal Citation68 (2), pp. 1073-1089
Number of Pages17
Year2021
Place of PublicationUnited Kingdom
ISSN0273-1177
Digital Object Identifier (DOI)https://doi.org/10.1016/j.asr.2020.01.009
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0273117720300272
Abstract

In this study, we use seven years of Cryosat-2 data to improve Mean Sea Surface (MSS) and also to estimate Mean Dynamic Topography (MDT) around Australia. Sea Level Anomaly (SLA) map, obtained from Cryosat-2 data, shows substantial spatial striping effects in the areas where annual signal has considerable amplitudes. This signal causes shifts among the SLAs acquired from adjacent tracks since they have collected at different times of the year. In order to mitigate these effects, we used Topex/Poseidon and follow on missions to estimate the seasonal signals in the Cryosat-2 data points. MSSC2 is then estimated by (1) removing these signals from SLAs, (2) averaging in a 0.1° × 0.1° grid cells, and (3) finally adding them to the DTUMSS13. The resultant surface shows good agreement with the MSS estimated by Jason-1 and Jason-2 data in altimetry nominal points. MDTC2 is also estimated in the study area using the MSSC2 and the geoid. It is in good agreement with two widely used global MDT models although showing higher values due to the effect of sea-level rise. When compared to the estimated MDT in tide gauge stations using geodetic data, MDTC2 statistically performs better than the global models.

KeywordsMean sea surface, Mean dynamic topography, Cryosat-2, GECO
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
370803. Physical oceanography
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Byline AffiliationsUniversity of Newcastle
Technical University of Denmark, Denmark
Institution of OriginUniversity of Southern Queensland
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