Abstract
A method for Sea Surface Temperature (SST) estimation with Linearized Inversion of Radiative Transfer Code is proposed. 23 to 32% of improvement of SST estimation accuracy was confirmed with a variety of the atmospheric parameters compared to the existing method of Split Window. The improvement depends on the Ocean Areas. The best improvement (56%) was occured for SubArctic Winter while the worst improvement (7%) was occured for Tropic. For all of the ocean areas, more than 30% of improvement was achived with the proposed method. By using the most adequate parameters for each the Ocean Areas such as Tropic, Midlatitude, SubArctic and for each seasons, summer and winter, 4% of improvement was achieved compared to the method with only one set of parameters.
The accuracy of our proposed Linearized Inversion for SST estimation with Thermal Infrared data was evaluated with the real ADEOS/OCTS data. It was 1.1 (K) and was not so poor if a skin and bulk temperature difference is taken into account.
