Polar Ocean Tides—Revisited Using Cryosat-2

• Published in: Remote Sensing
• Main Authors: Andersen, Ole Baltazar, Rose, Stine Kildegaard, Hart-Davis, Michael G.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2023
• Subjects: Ocean tides; Polar oceans; Satellite altimetry; Antarc*; Antarctic; Antarctic Ocean; Arctic Ocean; Ice Shelves; Sea ice; Southern Ocean
• Online Access: https://orbit.dtu.dk/en/publications/885f7d64-c3ab-4b97-bdc6-2161f0b44cac; https://doi.org/10.3390/rs15184479; https://backend.orbit.dtu.dk/ws/files/338179903/remotesensing-15-04479-v2.pdf

With the availability of more than 9 years of Cryosat-2, it is possible to revisit polar ocean tides, which have traditionally been difficult to determine from satellite altimetry. The SAMOSA+ physical retracker is a stable retracker developed particularly for Cryosat-2. Being a physical retracker, it enables the determination of the sea state bias. Correcting for the sea state bias enables more reliable sea level estimates compared with traditional empirical retrackers used before. Cryosat-2 data have been analyzed for residual ocean tides to the FES2014 ocean tide model in the Arctic Ocean and Antarctic Ocean using the response formalism. We utilize data from the sub-cycle of Cryosat-2, which follows a repeating pattern of approximately 28.33 days. This sub-repeat period makes it an advantageous alias period for the majority of significant constituents. This allowed for the estimation and mapping of the major tidal constituents in the open ocean and also in floating ice shelves from data extracted from leads in the sea ice. A novel empirical ocean tide model designed specifically for the polar region, DTU22, is introduced. Our findings reveal substantial enhancements in semi-diurnal tides within the Arctic Ocean and improvement in diurnal constituents within the Southern Ocean. In the Southern Ocean, the diurnal constituents are particularly improved using the empirical model by more than a factor of two to around 3 cm for both constituents compared with FES2014b. These outcomes underscore the significance of incorporating the reprocessed and retracted Cryosat-2 data into tidal modeling, highlighting its pivotal role in advancing the field.