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...
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
University of British Columbia
2010
|
| Online Access: | http://hdl.handle.net/2429/27090 |