Journal article
A recurrent neural networks approach using indices of low‐frequency climatic variability to forecast regional annual runoff
Abstract
This paper evaluates the potential of using low‐frequency climatic mode indices to forecast regional annual runoff in northern Quebec and the Labrador region. The impact of climatic trends in the forecast accuracy is investigated using a recurrent neural networks (RNN) approach, time‐series of inflow to eight large hydropower systems in Quebec and Labrador, and indices of selected modes of climatic variability: El Nin˜o–Southern Oscillation …
Authors
Coulibaly P; Anctil F; Rasmussen P; Bobée B
Journal
Hydrological Processes, Vol. 14, No. 15, pp. 2755–2777
Publisher
Wiley
Publication Date
October 30, 2000
DOI
10.1002/1099-1085(20001030)14:15<2755::aid-hyp90>3.0.co;2-9
ISSN
0885-6087