Articles | Volume 21, issue 7
https://doi.org/10.5194/angeo-21-1645-2003
https://doi.org/10.5194/angeo-21-1645-2003
31 Jul 2003
 | 31 Jul 2003

An efficient algorithm for the large-scale smoothing of scattered data retrieved from remote sounding experiments

D. Fussen

Abstract. We present a new algorithm for smoothing/interpolation of two-dimensional fields applicable to noisy data observed at scattered sites. The technique is based on a special statistics allowing one to simultaneously minimize the fit residual and the correlation between residuals of adjacent points. The principle of the method is first explained in the 1-D case and then extended to the 2-D case by adjunction of a regularization operator. The method is compared with different algorithms (Loess-Renka, Biharmonic Spline and kriging) in three test cases related to remote sounding of the Earth’s atmosphere by space-borne experiments.

Key words. Atmospheric composition and structure (evolution of the atmosphere; instruments and techniques; general or miscellaneous)