Engineering topics
Publications and source records attributed to King, J. I. F..
Nonlinear matrix inversion operators have been developed which, applied to observed radiances, infer maximal information regarding atmospheric scattering parameters and vertical distribution of radiant sources and sinks. The algorithm has the attractive feature of noise discrimination, attributing instrumental errors to extra-atmospheric sources.
The inference of atmospheric structure from satellite radiometric observations requires an inversion algorithm. A variety of techniques was spawned to meet these demands. One class, the nonlinear inversion methods, copes with the problem of data noise. Unlike linear techniques which require a priori data smoothing, the nonlinear method can be applied directly to raw data. The algorithm discriminates the noise input by resolving the inferences into two types of solution, associating the real roots with atmospheric structure while ascribing the imaginary roots to noise.
Probability distribution functions for carbon dioxide, and line spectra model
Nonlinear inversion method for formulating wave propagation theory of radiative heat transfer
Error analysis on inversion technique for inferring vertical thermal structure from satellite infrared observations
Moment method solution of schwarzschild-milne integral equation, with application to nongray atmospheres
Greenhouse effect in the radiant heating of semi- infinite, parallel plane atmosphere