Vector of dates (class Date or character) in this format: Y-m-d
precip_mm
Precipitation in mm
Tmax_C
Daily maximum temperature (degrees C)
Tmin_C
Daily minimum temperature (degrees C)
lat_deg
Degrees latitude
slope
Overall slope of area of interest
aspect
Aspect of the area of interest
tempHt
height of temperature measurements (m)
windHt
height of wind measurements (m)
groundAlbedo
Ground Albedo, 0-1 (-)
SurfEmissiv
Surface Emissivity, 0-1 (-)
windSp
Wind speed - either a vector of measured values or a single value of average wind speed for the site (m/s)
forest
Forest cover (shade) - use this only when determining snowmelt under a canopy, 0-1 (-)
startingSnowDepth_m
The depth of the snow pack initially (m)
startingSnowDensity_kg_m3
The density of snow on the ground on the first day (kg/m3)
Value
This will return a 10 column data frame with nrow = length of input weather data. Column names are :
Date, MaxT_C, MinT_C, Precip_mm, Rain_mm, SnowfallWatEq_mm, SnowMelt_mm, NewSnow_m, SnowDepth_m, SnowWaterEq_mm
Warning
This function cannot handle NA values in input, and can only be run for continuous daily data.
For data-sets missing values, run discontinuous segments separately.
References
Walter, M.T. , E.S. Brooks, D.K. McCool, L.G. King, M. Molnau, J. Boll. 2005.
Process-based snowmelt modeling: Does it require more input data than temperature-index modeling?
Journal of Hydrology 300(1-4): 65-75
# NOT RUN {## data(OwascoInlet)
sm <- SnowMelt(Date=OwascoInlet$date, precip_mm=OwascoInlet$P_mm,
Tmax_C=OwascoInlet$Tmax_C, Tmin_C=OwascoInlet$Tmin_C, lat_deg=42)
summary(sm)
# }