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Extension of spherical nonparametric estimators to nonisotropic kernels: An oceanographic application

Hodges, K. I. (1999) Extension of spherical nonparametric estimators to nonisotropic kernels: An oceanographic application. Monthly Weather Review, 127 (2). pp. 214-227. ISSN 0027-0644

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To link to this item DOI: 10.1175/1520-0493(1999)127<0214:EOSNET>2.0.CO;2

Abstract/Summary

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. Ln 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.

Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Environmental Systems Science Centre
ID Code:164
Publisher:American Meteorological Society

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