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Investigating the West Antarctic Ocean Based on Satellite Remote Sensing and Observation by RV Araon
SaTellite Remote Sensing on West Antarctic Ocean Research (STAR)
Hyun Cheol Kim firstname.lastname@example.org
“SaTellite remote sensing on west Antarctic ocean Research(STAR)” project was launched in 2014 and completed in 2016. This study investigated the West Antarctic Ocean using remote sensing techniques and numerical models to understand the interaction between sea-ice and the Antarctic Circumpolar Current(ACC).
The project included the following research topics: 1) research on ACC frontal features and sea ice dynamics using remote sensing and numerical modeling; 2) primary production monitoring using ocean color sensor; 3) monitoring pCO2 and net community production, and development of a remote sensing model; 4) development of remote sensing techniques for the cryosphere; and 5) investigation and development of remote sensing applications for multidisciplinary research in the polar region.
This project used remotely-sensed data to analyze the ACC, which is important in understanding environment and ecosystem of the Antarctic Ocean, then developed a numerical model to simulate the ACC frontal.
By developing algorithms to detect sea-ice features utilizing the high resolution of KOMPSAT-5 SAR images, this study performed more precise sea-ice detection tasks.
This study also predicted daily sea-ice concentrations and extents in the near future based on time-series satellite data and statistical approaches, and exploited multi-sensor satellite data for the analysis of coastal ice.
Additionally, the research team collaborated with international research groups to explain the long-term changes over the Antarctic Ocean.
These invaluable results are expected to contribute to understanding the relationship between cryosphere changes and the complex global climate system.
Figure 3. The figures in different columns show sea-ice concentration patterns on DOY (day of year) of 30, 120, and 210; and the figures in different rows show sea ice concentrations obtained from the observed satellite data (left), computed via pixel un-mixing (middle), and predicted via the AR model (right).