Novel Methodology for Application of Adaptive Systems Techniques to DMSP (Defense Meteorological Satellite Program) Remote Temperature Sensing

摘要

Two new theoretical algorithms for the bias-free determination of atmospheric temperatures from upwelling radiance data were implemented in this research--the Differential Inversion (DI) algorithm and Optical Measure Theory (OMT). DI and OMT are complementary bias-free approaches to the construction of atmospheric temperature profiles. Previous work on DI was extended to permit the computation of partial atmospheric temperature profiles (at three altitudes) from Tiros Operational Vertical Sounder (TOVS) data. These partial temperature profiles demonstrated the utility of DI for the important operational problem of determination of the tropopause altitude. In OMT, atmospheric temperature profiles are the fundamental theoretical entities. Application of OMT to TOVS data in this research has resulted in the first bias-free computation of a complete atmospheric temperature profile from upwelling radiance data. This profile exhibits a meteorological character which is a natural consequence of the physical principles of radiative energy transfer on which OMT is based. Algorithmic studies in the development of DI and OMT have further elucidated the classic problems associated with the inversion of radiance data to obtain atmospheric temperature profiles. In addition to the TOVS data, data sets from the Defense Meteorological Satellite Program (DMSP) and the high-resolution Interferometer Sounder (HIS) were investigated for their suitability for inversion to atmospheric temperature profiles by DI and Omt. Keywords: Differential inversion; Optical measure theory; Remote sensing; Atmospheric temperature profiles. (jhd)