Microwindow selection for high-spectral-resolution sounders

The recent development of satellite instruments that obtain spectrally resolved measurements of the atmosphere has highlighted the problem of how to determine the best subsets, or microwindows, of such spectra for retrievals of temperature and composition. A technique is described that maximizes the information content (or some other figure of merit) based on the modeling of the propagation of systematic as well as random error terms through the retrieval process. Apart from selecting microwindows, this technique can also prioritize existing microwindows for different circumstances and provides a full error analysis of the retrieval. A practical application is demonstrated for the Michelson Interferometer for Passive Atmospheric Sounding limb-viewing interferometer, but the technique is equally applicable to nadir-viewing instruments.