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

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Hodges, K. I. orcid id iconORCID: https://orcid.org/0000-0003-0894-229X (1999) Extension of spherical nonparametric estimators to nonisotropic kernels: An oceanographic application. Monthly Weather Review, 127 (2). pp. 214-227. ISSN 0027-0644 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.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/164
Identification Number/DOI 10.1175/1520-0493(1999)127<0214:EOSNET>2.0.CO;2
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Environmental Systems Science Centre
Publisher American Meteorological Society
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