Daily streamflow forecasting by machine learning methods with weather and climate inputs
- 1 January 2012
- journal article
- Published by Elsevier BV in Journal of Hydrology
- Vol. 414-415, 284-293
- https://doi.org/10.1016/j.jhydrol.2011.10.039
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- The association between climate teleconnection indices and Upper Klamath seasonal streamflow: Trans‐Niño IndexHydrological Processes, 2009
- Short-term streamflow forecasting with global climate change implications – A comparative study between genetic programming and neural network modelsJournal of Hydrology, 2008
- Climatic influences on streamflow timing in the headwaters of the Mackenzie River BasinJournal of Hydrology, 2008
- Spatial and Temporal Variability of Canadian Seasonal StreamflowsJournal of Climate, 2005
- Improved streamflow forecasting using self-organizing radial basis function artificial neural networksJournal of Hydrology, 2004
- Comparison of static-feedforward and dynamic-feedback neural networks for rainfall–runoff modelingJournal of Hydrology, 2004
- Practical selection of SVM parameters and noise estimation for SVM regressionNeural Networks, 2004
- Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network modelsJournal of Hydrology, 2002
- The Arctic oscillation signature in the wintertime geopotential height and temperature fieldsGeophysical Research Letters, 1998
- Climatology, Persistence, and Their Linear Combination as Standards of Reference in Skill ScoresWeather and Forecasting, 1992