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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Format: | Thesis |
Language: | English |
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University of British Columbia
2010
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Online Access: | http://hdl.handle.net/2429/27090 |