Merging Infrared Radiometer And Microwave Radiometer Sea Surface Temperature Data Based On The Optimum Interpolation

Sea Surface Temperature (SST) is an important parameter for research and applications in oceanography, atmospheric science and climatology. Features of satellite remote sensing include large coverage area, high sampling frequency, and satellite technology provides reliable global coverage of SST after data is carefully retrieved and assimilated.First, this thesis summarized theoretical origin and development of the assimilation of SST data, and gave detailed review of research progresses made recently in the concept and characteristics of assimilation, satellites and sensors for assimilation of SST data. Six different SST analyses that are internationally widely used were also evaluated. Then this thesis analyzed various algorithms applied to assimilation analyses of SST data, focusing on basic principles and formulations of the optimum interpolation (OI) and its application in assimilation of SST data.Secondly, this thesis implemented the OI algorithms, aimed at the meso-microscale structures of SST observed by infrared radiometer (AVHRR) and microwave radiometer (AMSR-E) temperature. Using OI, the two types of SST observations are processed, and the merged SST analysis is capable of resolving the oceanic frontal structure with high resolution. The SST analysis is constrained by insitu measurements and data errors are under constraint conditions by minimizing temperature range, improving the accuracy of the data analysis products. This thesis, using optimum interpolation algorithms, assimilated AMSR-E and AVHRR SST data near the Agulhas Return Current (ARC) region (25°S-65°S, 10°E-90°E). Appropriated procedure and parameters were studied in this thesis based on characteristic of the IR and MW remote sensing, and the accuracy and efficiency of assimilation is improved. The SST analysis was also evaluated by comparisons with six SST analyses. Through discussions of the external factors that influence temperature errors, it is expected this study is helpful in improving the accuracy of SST analysis in the near future, with broad applications in research and business communities.Finally, China's HY-1 satellite and HY-2 satellite will provide IR and MW remote sensing observations of global SST. The work of this thesis can be applied to assimilate HY-1 satellite and HY-2 satellite SST observations with sufficient spatial resolution resolving meso-microscale temperature structure.