Dynamic Regression Model for Hourly River Level Forecasting Under Risk Situations: an Application to the Ebro River
Abstract
This work proposes a new statistical modelling approach to forecast the hourly river level at a gauging station, under potential flood risk situations and over a medium-term prediction horizon (around three days). For that aim we introduce a new model, the switching regression model with ARMA errors, which takes into account the serial correlation structure of the hourly level series, and the changing time delay between them. A whole modelling...
Paper Details
Title
Dynamic Regression Model for Hourly River Level Forecasting Under Risk Situations: an Application to the Ebro River
Published Date
Oct 25, 2018
Journal
Volume
33
Issue
2
Pages
523 - 537
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