A spatio-temporal model for bias estimation in radar rainfall data

Abstract

This research develops and employs a regime switching autoregressive state space model to improve current methods of accounting for bias in rainfall estimation. Typical devices used to measure rainfall, namely rain gauges and weather radars, are prone to measurement error and systematic bias. Because the data collected from these devices is used in Flood… (More)
DOI: 10.1145/1347787.1347814

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Cite this paper

@inproceedings{Williams2007ASM, title={A spatio-temporal model for bias estimation in radar rainfall data}, author={Talithia Williams}, booktitle={Richard Tapia Celebration of Diversity in Computing Conference}, year={2007} }