Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/20997

TitleKalman filtering approach in the calibration of radar rainfall data
Author(s)Costa, Marco
Monteiro, Magda S. V.
Gonçalves, A. Manuela
KeywordsKalman filter
State space model
Rainfall estimates
Weather radar
Calibration
Issue dateJul-2012
PublisherKomarek, Arnost & Nagy, Stanislav
Abstract(s)This work presents a comparative study of some models to estimate radar rainfall in real time using the Kalman filtering approach. This comparison adresses the parameters estimation, the assessment of the accuracy estimates obtained by each model and the impact of the number of rain gauges used in the improvement of radar calibration estimates.
TypeConference paper
URIhttp://hdl.handle.net/1822/20997
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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