Abstract
The accurate monitoring and measurement of sea ice thickness (SIT) is crucial for understanding climate change and preventing economic losses caused by sea ice disasters near coastal regions. In this study, a new method is developed to retrieve the SIT in Liaodong Bay (LDB) based on the Rayleigh-corrected reflectance from Geostationary Ocean Color Imager (GOCI) images in the winters of 2012 and 2013. Compared with previously developed SIT retrieval methods (e.g., the method based on the thermodynamic principle of sea ice) using remote sensing data, our method has significant advantages with respect to the inversion accuracy (achieving retrieval skill scores as high as 0.86) and spatiotemporal resolution. Moreover, there is no significant increase in the computational cost with this method, which makes the method suitable for operational SIT retrieval in the global ocean.
Highlights
A new method was developed to retrieve the sea ice thickness (SIT) in Liaodong Bay (LDB) based on the Rayleigh-corrected reflectance from Geostationary Ocean Color Imager (GOCI) images in the winter of 2012 and 2013
The main results are as follows: (1) The Rayleigh-corrected reflectance can be used for SIT inversion based on cloudfree GOCI images
(2) We compared 4 GOCI inversion methods for SIT retrieval and found that multiple linear regression of 8 bands is best suited for retrieving the SIT in LDB
Summary
Sea ice plays crucial roles in the earth’s climate system and ecosystems [1,2,3,4,5], it covers only approximately 7% of the global ocean [6]. It has a paramount position in thermodynamics by modulating sea ice ablation and accretion processes [7]. It can affect the vertical distribution of marine hydrological elements and the movement of sea water.
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