Short lead-time streamflow forecasting by machine learning methods, with climate variability incorporated

Streamflow fluctuates as a result of different atmospheric, hydrologic, and morphologic mechanisms governing a river watershed. Variability of meteorological variables such as rainfall, temperature, wind, sea level pressure, humidity, and heating, as well as large scale climate indices like the Arct...

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Bibliographic Details
Main Author: Rasouli, Kabir
Format: Thesis
Language:English
Published: University of British Columbia 2010
Subjects:
Online Access:http://hdl.handle.net/2429/27090