Abstract

The processes of discretization, interpolation, and resampling are frequently used in data analysis. Here the formalism of functional spaces is used as a framework for the description and characterization of both the measurement operation and these subsequent processes. The tools provided by this formalism are applied to the problem of resampling of atmospheric volume mixing ratio vertical profiles obtained with limb-sounding measurements. In particular, a resampling method that uses the conservation of the vertical column as a constraint is presented and compared with other methods. The effects of the resampling process in terms of error propagation and loss of vertical resolution are also evaluated.

© 2001 Optical Society of America

MIPAS-ENVISAT limb-sounding measurements: trade-off study for improvement of horizontal resolution

Marco Ridolfi, Luca Magnani, Massimo Carlotti, and Bianca Maria Dinelli
Appl. Opt. 43(31) 5814-5824 (2004)

Constrained profile retrieval applied to the observation mode of the Michelson Interferometer for Passive Atmospheric Sounding

Tilman Steck and Thomas von Clarmann
Appl. Opt. 40(21) 3559-3571 (2001)

Geo-fit approach to the analysis of limb-scanning satellite measurements

Massimo Carlotti, Bianca Maria Dinelli, Piera Raspollini, and Marco Ridolfi
Appl. Opt. 40(12) 1872-1885 (2001)

Comparison of measurements made with two different instruments of the same atmospheric vertical profile

Simone Ceccherini, Bruno Carli, Enzo Pascale, Maria Prosperi, Piera Raspollini, and Bianca M. Dinelli
Appl. Opt. 42(32) 6465-6473 (2003)

Optimized spectral microwindows for data analysis of the Michelson Interferometer for Passive Atmospheric Sounding on the Environmental Satellite

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
Appl. Opt. 39(30) 5531-5540 (2000)