An application of the Kalman filtering technique for Streamflow forecasting in the Upper Murray Basin

Schreider, S, Young, P and Jakeman, A 2001, 'An application of the Kalman filtering technique for Streamflow forecasting in the Upper Murray Basin', Mathematical and Computer Modelling, vol. 33, no. 67, pp. 733-743.


Document type: Journal Article
Collection: Journal Articles

Title An application of the Kalman filtering technique for Streamflow forecasting in the Upper Murray Basin
Author(s) Schreider, S
Young, P
Jakeman, A
Year 2001
Journal name Mathematical and Computer Modelling
Volume number 33
Issue number 67
Start page 733
End page 743
Total pages 11
Publisher Elsevier Science
Abstract In [1], the IHACRES rainfall-runoff model is calibrated for the purpose of predicting streamflow discharge in ten catchments of the Upper Murray Basin using a four-hourly time step. A map and description of the basin can be found in [1,2]. The major aim of the present paper is to describe the subsequent development and testing of a four-hourly time step flow forecasting model which exploits the Kalman Filter (KF) algorithm to upgrade the IHACRES models from a simple predictive to a real-time forecasting capability. In [2], the IHACRES model and a self-adaptive filtering approach, based on the autoregressive integrated moving average (ARIMA) representation of the model residuals, were combined and utilized for forecasting daily streamflow in nine catchments of the Upper Murray Basin. Such linear filtering of the model residuals provided a considerable improvement in forecasting both low and high values of streamflow. A KF forecasting algorithm, incorporating the subdaily Upper Murray Basin IHACRES model, has been used in this second stage of the project as a tool for operational streamflow forecasting because it provides a more flexible approach and yields even better results (in terms of Nash-Sutcliffe efficiency statistics [3] and relative errors) than the ARIMA linear filtering approach.
Subject Operations Research
Applied Statistics
Keyword(s) Streamflow forecasting
Kalman filtering
The Upper Murray Basin
ISSN 0895-7177
Versions
Version Filter Type
Access Statistics: 112 Abstract Views  -  Detailed Statistics
Created: Mon, 04 Mar 2013, 11:32:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us