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

Armin Agha Karimi*, Ole Baltazar Andersen, Xiaoli Deng

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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.
Original languageEnglish
JournalAdvances in space research
ISSN0273-1177
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Mean sea surface
  • Mean dynamic topography
  • Cryosat-2
  • GECO

Fingerprint Dive into the research topics of 'Mean sea surface and mean dynamic topography determination from Cryosat-2 data around Australia'. Together they form a unique fingerprint.

Cite this