Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/8896
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Costa, Marco | pt |
dc.contributor.author | Monteiro, Magda | pt |
dc.contributor.author | Gonçalves, A. Manuela | pt |
dc.date.accessioned | 2012-08-02T14:36:30Z | - |
dc.date.available | 2012-08-02T14:36:30Z | - |
dc.date.issued | 2012 | - |
dc.identifier.isbn | 978-80-263-0251-3 | - |
dc.identifier.uri | http://hdl.handle.net/10773/8896 | - |
dc.description.abstract | 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. | pt |
dc.language.iso | eng | pt |
dc.publisher | Komarek, Arnost & Nagy, Stanislav | pt |
dc.relation | PEst OE/MAT/UI0209/2011 | pt |
dc.relation | PEst-C/MAT/UI4106/2011 | pt |
dc.relation | PEst-C/MAT/UI0013/2011 | pt |
dc.rights | openAccess | por |
dc.subject | Kalman filter | pt |
dc.subject | State space model | pt |
dc.subject | Rainfall estimates | pt |
dc.subject | Weather radar | pt |
dc.subject | Calibration | pt |
dc.title | Kalman filtering approach in the calibration of radar rainfall data | pt |
dc.type | conferenceObject | pt |
dc.peerreviewed | yes | pt |
ua.publicationstatus | published | pt |
ua.event.date | 16-20 julho, 2012 | pt |
ua.event.type | workshop | pt |
degois.publication.firstPage | 55 | pt |
degois.publication.lastPage | 61 | pt |
degois.publication.location | Praga | pt |
degois.publication.title | Proceedings of the 27th Workshop on Statistical Modelling | pt |
degois.publication.volume | vol. 2 | pt |
Appears in Collections: | CIDMA - Comunicações ESTGA - Comunicações PSG - Comunicações |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
CostaetalIWSM2012.pdf | Documento principal | 298.87 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.