swe.jo09: Statistical SWE modeling depending on month and climatic...

In nixmass: Snow Water Equivalent Modeling with the 'Delta.snow' and 'HS2SWE' Models and Empirical Regression Models

Statistical SWE modeling depending on month and climatic region in Switzerland

Description

Snow Water Equivalent (SWE) is modeled statistically depending on snow depth, altitude, date and region in Switzerland.

Usage

swe.jo09(data, alt, region.jo09)

Arguments

data	A data.frame of daily observations with two columns named date and hs referring to day and snow depth at that day. The date column must be either of class 'character', 'Date' or 'POSIXct' with the format YYYY-MM-DD. The hs column must be snow depth values \ge 0 in m.
alt	Station elevation in meters.
region.jo09	Integer number of the Swiss region where the station belongs to, according to Fig. 1 in the original reference. Must be one of 1,2,3,4,5,6,7.

Details

swe.jo09 This model parameterizes bulk snow density using snow depth, season (i.e. month), site altitude and site location. The location is implemented by a density offset according to the region in Switzerland, where the station belongs to. Non computable values are returned as NA.

Value

A numeric vector with SWE values for each region in mm.

References

Jonas, T., Marty, C. and Magnusson, J. (2009) 'Estimating the snow water equivalent from snow depth measurements in the Swiss Alps', Journal of Hydrology, 378(1 - 2), pp. 161 - 167. doi: 10.1016/j.jhydrol.2009.09.021.

Examples

data(hsdata)
swe <- swe.jo09(hsdata, 1500, 1)
summary(swe)
plot(swe)

nixmass documentation built on June 8, 2025, 1:44 p.m.