Adaptive Parameter Estimation for Multisite Streamflow Forecasting

by Haitham M. Awwad, Texas A & M Univ, College Station, United States,
Juan B. Vald?s, Texas A & M Univ, College Station, United States,

Document Type: Proceeding Paper

Part of: Water Resources Planning and Management and Urban Water Resources


An adaptive procedure for parameter identification and noise statistics estimation for multisite streamflow forecasting is presented in this work. The model is a multivariate ARMAX model, formulated in a state-space form, with the Kalman filter used to obtain the optimal forecasts and updates of the states. Model parameters, as well as noise statistics, are updated on-line in an adaptive manner along with the states.

Subject Headings: Parameters (statistics) | Streamflow | Forecasting | Filters | Kalman filters | Adaptive systems

Services: Buy this book/Buy this article


Return to search