Projecting the pan-Arctic three-dimensional ocean thermohaline structure using satellite sea surface data and a variational approach
摘要
Satellite altimetry missions at high latitude have opened new avenues for understanding the changes occurring over the ice-covered region. By incorporating Arctic satellite remote sensing data—including sea surface temperature (SST), sea surface height anomaly (SSHA), and sea surface salinity (SSS). This study employs a variational method to reconstruct the three-dimensional thermohaline structure of the Arctic Ocean. Compared to the Regional Arctic Reanalysis (RARE), the reconstruction well captures both the horizontal and vertical temperature and salinity structures in the Arctic. It demonstrates superior skill over RARE, when compared with Argo profiles and Ice-Tethered Profiler (ITP) observations. The reconstruction is particularly effective in ice-covered regions, where it more accurately captures the transition from Pacific water to Atlantic water compared to RARE. These findings underscore the potential of applying Arctic satellite data to reconstruct vertical thermohaline structures in the Arctic, particularly in areas due to lack of the subsurface observation reanalysis data exhibit significant biases. As Arctic satellite observations continue to advance, the applications of this method are becoming increasingly promising, which is useful for monitoring the ice-covered region environment and can be applied to oceanographic research.