Abstract
In a recently published paper, spherical nonparametric estimators were applied to feature-track ensembles to determine a range of statistics for the atmospheric features considered. This approach obviates the types of bias normally introduced with traditional estimators. New spherical isotropic kernels with local support were introduced. In this paper the extension to spherical nonisotropic kernels with local support is introduced, together with a means of obtaining the shape and smoothing parameters in an objective way. The usefulness of spherical nonparametric estimators based on nonisotropic kernels is demonstrated with an application to an oceanographic feature-track ensemble.
Corresponding author address: Dr. K. I. Hodges, Environmental Systems Science Centre, University of Reading, Harry Pitt Building, Whiteknights, P.O. Box 238, Reading RG6 6AL, United Kingdom.
Email: admin@mail.nerc-essc.ac.uk