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 (Applied Statistics), 50 (2). pp. 221-241. ISSN 0035-9254Full text not available from this repository.
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.
|Journal or Publication Title:||Journal of the Royal Statistical Society: Series C (Applied Statistics)|
|Uncontrolled Keywords:||Dynamic linear model • Environmental monitoring • Kalman filter|
|Subjects:||?? qa ??|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
Faculty of Health and Medicine > Medicine
Faculty of Science and Technology > Lancaster Environment Centre
|Deposited On:||18 Nov 2008 15:59|
|Last Modified:||24 Apr 2017 01:21|
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