For data analysis of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) atmospheric limb emission spectroscopic experiment on Environmental Satellite microwindows, i.e., small spectral regions for data analysis, have been defined and optimized. A novel optimization scheme has been developed for this purpose that adjusts microwindow boundaries such that the total retrieval error with respect to measurement noise, parameter uncertainties, and systematic errors is minimized. Dedicated databases that contain optimized microwindows for retrieval of vertical profiles of pressure and temperature, H<sub>2</sub>O, O<sub>3</sub>, HNO<sub>3</sub>, CH<sub>4</sub>, N<sub>2</sub>O, and NO<sub>2</sub> have been generated. Furthermore, a tool for optimal selection of subsets of predefined microwindows for specific retrieval situations has been provided. This tool can be used further for estimating total retrieval errors for a selected microwindow subset. It has been shown by use of this tool that an altitude-dependent definition of microwindows is superior to an altitude-independent definition. For computational efficiency a dedicated microwindow-related list of spectral lines has been defined that contains only those spectral lines that are of relevance for MIPAS limb sounding observations.
© 2000 Optical Society of America
(280.0280) Remote sensing and sensors : Remote sensing and sensors
Georg Echle, Thomas von Clarmann, Anu Dudhia, Jean-Marie Flaud, Bernd Funke, Norbert Glatthor, Brian Kerridge, Manuel López-Puertas, Francisco J. Martín-Torres, and Gabriele P. Stiller, "Optimized Spectral Microwindows for Data Analysis of the Michelson Interferometer for Passive Atmospheric Sounding on the Environmental Satellite," Appl. Opt. 39, 5531-5540 (2000)