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

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

Jul 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003angeo..21.1645f&link_type=abstract

Annales Geophysicae, vol. 21, Issue 7, pp.1645-1652

Computer Science

Sound

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

An efficient algorithm for the large-scale smoothing of scattered data retrieved from remote sounding experiments does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An efficient algorithm for the large-scale smoothing of scattered data retrieved from remote sounding experiments, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An efficient algorithm for the large-scale smoothing of scattered data retrieved from remote sounding experiments will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1463201