@inbook {50194,
	title = {Modeling Snowmelt Runoff},
	booktitle = {Principles in Snow Hydrology},
	year = {2008},
	month = {July 2008},
	pages = {266-305},
	publisher = {Cambridge University Press},
	organization = {Cambridge University Press},
	chapter = {Chapter 10},
	address = {Cambridge, NY},
	abstract = {Hydrologic models used to predict streamflow can be generally classified as either deterministic or stochastic and as either lumped-parameter or distributed (Beven 2000).  Deterministic models predict a single value of streamflow from a given set of input variables, while stochastic models predict a range of possible outcomes based upon the statistical distributions of input variables.  Nearly all of the snowmelt models used to continuously predict streamflow from snowmelt are deterministic, but a type of statistical model has been historically used to great advantage to predict seasonal totals of streamflow using measured snowpack and precipitation data each spring. These models are in widespread use in the western United States to forecast spring runoff.},
	keywords = {deterministic, forecast, hydrologic models, modeling, snowmelt runoff, statistical model, stochastic},
	url = {http://www.cambridge.org/us/catalogue/catalogue.asp?isbn=0521823625},
	author = {D. DeWalle and A. Rango}
}
