Chapter
Apr 26, 2012
Statistical Seasonal Streamflow Forecasting: An Intercomparison and Evaluation of Current Forecasting Procedures
Authors: Matthew Meier [email protected] and Hamid Moradkhani, Ph.D. [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2009: Great Rivers
Abstract
The primary goal of this research is to compare and analyze the results from three statistical procedures used for producing long-lead streamflow forecasts. The models and techniques covered in this work include principal component analysis, z-score regression, and independent component analysis. These procedures were tested on a three watersheds in the Pacific Northwest while merits and disadvantages of each procedure are explored and recommendations are made useful in providing more accurate, reliable and skillful seasonal forecasts.
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Information & Authors
Information
Published In
World Environmental and Water Resources Congress 2009: Great Rivers
Pages: 1 - 10
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Climates
- Engineering fundamentals
- Environmental engineering
- Flow (fluid dynamics)
- Fluid dynamics
- Fluid mechanics
- Forecasting
- Hydrologic engineering
- Mathematics
- Probability
- Regression analysis
- River engineering
- River systems
- Seasonal variations
- Statistical analysis (by type)
- Statistics
- Streamflow
- Water and water resources
- Watersheds
Authors
Affiliations
Graduate student, Portland State University, Department of Civil and Environmental Engineering, 1930 SW 4th Ave. suite 200, Portland, Oregon, USA 97201. E-mail: [email protected]
Assistant Professor, Portland State University, Department of Civil and Environmental Engineering, 1930 SW 4th Ave. suite 200, Portland, Oregon, USA 97201. E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.