Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/8896
Title: Kalman filtering approach in the calibration of radar rainfall data
Author: Costa, Marco
Monteiro, Magda
Gonçalves, A. Manuela
Keywords: Kalman filter
State space model
Rainfall estimates
Weather radar
Calibration
Issue Date: 2012
Publisher: Komarek, Arnost & Nagy, Stanislav
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.
Peer review: yes
URI: http://hdl.handle.net/10773/8896
ISBN: 978-80-263-0251-3
Appears in Collections:CIDMA - Comunicações
ESTGA - Comunicações
PSG - Comunicações

Files in This Item:
File Description SizeFormat 
CostaetalIWSM2012.pdfDocumento principal298.87 kBAdobe PDFView/Open


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.