Using FY-3E Data to Independently Retrieve Sea Ice Thickness

Scientific studies worldwide have long put an emphasis on Arctic sea ice, viewing sea ice thickness (SIT) as a crucial determinant for forecasting local oceanic conditions, climate fluctuations, and assuring maritime transport safety. The present research pivots on the extraction of SIT, deploying a well-established two-layer (sea ice-seawater) model of Global Navigation Satellite System-Reflectometry (GNSS-R) and broadening it to incorporate recent data from the Fengyun-3E (FY-3E) satellite. The study presents a unique empirical method with the goal of lessening dependencies on supplementary data, thereby enabling independent SIT extraction purely via GNSS-R data. This effort highlights the feasibility of constructing a functional semiempirical model and parameterization scheme for the estimation of SIT through GNSS-R data.