Polar Ocean Tides-Revisited Using Cryosat-2

被引:7
作者
Andersen, Ole Baltazar [1 ]
Rose, Stine Kildegaard [1 ]
Hart-Davis, Michael G. [2 ]
机构
[1] Natl Space Inst, DTU Space, Elektrovej 327-328, DK-2800 Lyngby, Denmark
[2] Tech Univ Munich, Deutsch Geodat Forschungsinstitut, D-80333 Munich, Germany
关键词
ocean tides; satellite altimetry; polar oceans; ACCURACY ASSESSMENT; MODEL;
D O I
10.3390/rs15184479
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:15
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