pSnow: Estimates snow depth and other snow variables

In ilyamaclean/microsnow: Below or above canopy microclimate modelling with R in snowy environments

Estimates snow depth and other snow variables

Description

The function pSnow estimates snow depth, albedo, density and temperature

Usage

pSnow(
  weather,
  precd,
  snowenv = "Taiga",
  STparams,
  meltfact = 0.11,
  snowem = 0.99,
  zm = 0.002,
  umin = 0.5,
  astc = 1.5,
  initdepth = 0
)

Arguments

weather	a data.frame of weather variables (see details).
precd	a vector of daily precipitation (mm).
snowenv	one of Alpine, Maritime, Prairie, Taiga or Tundra (see details)
STparams	an object of class SnowTparams as returned by fitsnowtemp()
meltfact	a snow melt coefficient, as returned by fitsnowdepth() or getmeltf()
snowem	optionally, snow emissivity
zm	optionally, roughness length for momentum transfer of snow surface (m)
umin	optionally, numeric value indicating minimum wind speed used in conductivity calculations (m/s)
astc	optionally, numeric value indicating the temperature at which precipitation falls as snow (deg C)
initdepth	single numeric value giving the initial snow depth (cm)

Details

The format and and units of weather must follow that in the example dataset climdata. The paramater snowenv is used to compute snow density following Sturm et al (2010) J Hydrometeorology 11: 1380-1393.

Value

a list of the following:

snowdepth snow depth (cm)

snowdens snow density (g/cm^3)

snowtemp snow temperature (deg C)

snowref snow reflectance (range 0 to 1)

snowfall snow fall (cm) at each time increment

snowmelt snow melt (cm) at each time increment

ilyamaclean/microsnow documentation built on April 7, 2023, 8:55 a.m.