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Space-time-time calibration of radar-rainfall data.

Brown, Patrick E. and Diggle, Peter J. and Lord, Martin E. and Young, Peter C. (2002) Space-time-time calibration of radar-rainfall data. Journal of the Royal Statistical Society. Series C, 50 (2). pp. 221-241. ISSN 1467-9876

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Abstract

Motivated by a specific problem concerning the relationship between radar reflectance and rainfall intensity, the paper develops a space–time model for use in environmental monitoring applications. The model is cast as a high dimensional multivariate state space time series model, in which the cross-covariance structure is derived from the spatial context of the component series, in such a way that its interpretation is essentially independent of the particular set of spatial locations at which the data are recorded. We develop algorithms for estimating the parameters of the model by maximum likelihood, and for making spatial predictions of the radar calibration parameters by using realtime computations. We apply the model to data from a weather radar station in Lancashire, England, and demonstrate through empirical validation the predictive performance of the model.

Item Type: Article
Journal or Publication Title: Journal of the Royal Statistical Society. Series C
Uncontrolled Keywords: Dynamic linear model • Environmental monitoring • Kalman filter
Subjects: Q Science > QA Mathematics
Departments: Faculty of Science and Technology > Mathematics and Statistics
Faculty of Health and Medicine > Medicine
VC's Office
Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 19298
Deposited By: ep_ss_importer
Deposited On: 18 Nov 2008 15:59
Refereed?: Yes
Published?: Published
Last Modified: 06 Sep 2013 18:03
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/19298

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