An efficient algorithm for the large-scale smoothing of scattered data retrieved from remote sounding experiments
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 poi...
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2003-07-01
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| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/21/1645/2003/angeo-21-1645-2003.pdf |
| Summary: | 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.<br><br><b>Key words. </b>Atmospheric composition
and structure (evolution of the atmosphere; instruments and techniques; general
or miscellaneous) |
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| ISSN: | 0992-7689 1432-0576 |