Kalman filtering approach in the calibration of radar rainfall data

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 t...

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Bibliographic Details
Main Author: Costa, Marco (author)
Other Authors: Monteiro, Magda S. V. (author), Gonçalves, A. Manuela (author)
Format: conferencePaper
Language:eng
Published: 2012
Subjects:
Kalman filter
State space model
Rainfall estimates
Weather radar
Calibration
Online Access:http://hdl.handle.net/1822/20997
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/20997
Description
Summary: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.

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