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

dc.contributor.author	Fussen, D.
dc.date	2003
dc.date.accessioned	2017-05-03T10:27:41Z
dc.date.available	2017-05-03T10:27:41Z
dc.identifier.uri	https://orfeo.belnet.be/handle/internal/5128
dc.description	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.
dc.language	eng
dc.title	An efficient algorithm for the large-scale smoothing of scattered data retrieved from remote sounding experiments
dc.type	Article
dc.subject.frascati	Physical sciences
dc.audience	Scientific
dc.subject.free	algorithm
dc.subject.free	smoothing
dc.source.title	Annales Geophysicae
dc.source.volume	21
dc.source.issue	7
dc.source.page	1645-1652
Orfeo.peerreviewed	Yes
dc.identifier.doi	10.5194/angeo-21-1645-2003
dc.identifier.scopus	2-s2.0-0042854942