Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/8896
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dc.contributor.authorCosta, Marcopt
dc.contributor.authorMonteiro, Magdapt
dc.contributor.authorGonçalves, A. Manuelapt
dc.date.accessioned2012-08-02T14:36:30Z-
dc.date.available2012-08-02T14:36:30Z-
dc.date.issued2012-
dc.identifier.isbn978-80-263-0251-3-
dc.identifier.urihttp://hdl.handle.net/10773/8896-
dc.description.abstractThis 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.pt
dc.language.isoengpt
dc.publisherKomarek, Arnost & Nagy, Stanislavpt
dc.relationPEst OE/MAT/UI0209/2011pt
dc.relationPEst-C/MAT/UI4106/2011pt
dc.relationPEst-C/MAT/UI0013/2011pt
dc.rightsopenAccesspor
dc.subjectKalman filterpt
dc.subjectState space modelpt
dc.subjectRainfall estimatespt
dc.subjectWeather radarpt
dc.subjectCalibrationpt
dc.titleKalman filtering approach in the calibration of radar rainfall datapt
dc.typeconferenceObjectpt
dc.peerreviewedyespt
ua.publicationstatuspublishedpt
ua.event.date16-20 julho, 2012pt
ua.event.typeworkshoppt
degois.publication.firstPage55pt
degois.publication.lastPage61pt
degois.publication.locationPragapt
degois.publication.titleProceedings of the 27th Workshop on Statistical Modellingpt
degois.publication.volumevol. 2pt
Appears in Collections:CIDMA - Comunicações
ESTGA - Comunicações
PSG - Comunicações

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