12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Space-time-time calibration of radar-rainfall d...
View graph of relations

« Back

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

Research output: Contribution to journalJournal article

Published

Journal publication date2002
JournalJournal of the Royal Statistical Society: Series C (Applied Statistics)
Journal number2
Volume50
Number of pages21
Pages221-241
Original languageEnglish

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.