| Summary: | An improved method to estimate sea ice concentration from 89 GHz brightness temperature data. Purpose: 1.Applies weather correction on the AMSR-E brightness temperatures through a radiative transfer model. 2.Retrieves sea ice concentration from the weather-corrected 89 GHz brightness temperatures. Input data: 1. AMSR-E Level 2A brightness temperatures. 2. Geophysical parameters (total water vapor, cloud liquid water, wind speed, surface temperature) retrieved by an optimal estimation method (Scarlat 2017). Output data: 1. Weather corrected brightness temperatures. 2. Sea ice concentration. Junshen Lu, Raul Scarlat, Georg Heygster, Gunnar Spreen (2021), Reducing Weather Influences on an 89 GHz Sea Ice Concentration Algorithm in the Arctic using Retrievals from an Optimal Estimation Method, JGR-Oceans, in processing
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