OPTIMAL INTERPOLATION OF IN-SITU AND SATELLITE PASSIVE MICROWAVE DATA FOR GLOBAL SNOW DEPTH ESTIMATIONJournal: International journal of ecosystems and ecology science (IJEES) (Vol.5, No. 4)
Publication Date: 2015-10-02
Authors : Cezar Kongoli;
Page : 637-642
Keywords : Satellites; passive microwave remote sensing; geospatial analysis; geophysical measurements.;
This paper presents an optimal interpolation approach to global snow depth estimation. The method uses 2-dimensional optimal interpolation to blend in-situ and satellite snow depth data weighted against their errors relative to a first guess and spatial correlations, the latter estimated from autocorrelation functions with respect to horizontal distance and elevation. The method is applied to ground-based and satellite passive microwave snow depth data within a 4-km resolution snow analysis system over the Northern Hemisphere. Assessment of the method is also presented using an extended ground-based snow depth dataset over US. Results show that the method is robust in estimating shallow and deep snow covers with mean bias and precision of 5 and 7 cm, respectively. Accuracy degrades over the mountains do to insufficient density of in-situ snow depth and inaccurate snow depth retrievals from satellite passive microwave data.
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