Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/13620
Title: A comparison between single site modeling and multiple site modeling approaches using Kalman filtering
Author: Monteiro, Magda
Costa, Marco
Keywords: Time series analysis
state space model
rainfall estimates
weather radar
calibration
Issue Date: Mar-2015
Publisher: AIP Publishing
Abstract: This work presents a comparative study between two approaches to calibrate radar rainfall in real time. The weather radar provides continuous measurements in real-time which have errors of either meteorological or instrumental nature. Locally, gauge measurements have a greater performance than radar measurements that can be used to improve radar estimates. One way of doing that is via a state space representation associated to the Kalman filter algorithm. In the single- site modeling approach we use the linear calibration model applied in [1] and [3] while the multivariate state-space model proposed in [6] is used in the multiple site approach. This work aims to discuss and compare these two different state space formulations based on the same data set.
Peer review: yes
URI: http://hdl.handle.net/10773/13620
DOI: 10.1063/1.4912410
Appears in Collections:ESTGA - Comunicações



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