swe.sturm: Statistical SWE modeling depending on day of year and...

In swemod: Snow Water Equivalent Modeling with Parametric and Statistical Models

Description

The sturm model parametrizes bulk snow density with day of the year and a snowclass. It was trained on historical snow depth - density - SWE data from the United States, Canada, and Switzerland.

Usage

swe.sturm(data,snowclass)

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 a character string with the format YYYY-MM-DD. The hs column must be snow depth values ≥ 0 in m.
snowclass	Must be one of the following character strings: 'alpine','maritime','prairie','tundra','taiga'.

Details

swe.sturm This model converts snow depth to SWE using snow depth, day of year and station location (from which a climate class of snow can be inferred. The day of year (DOY) is the day-number of in the season 1.10. - 30.6. The 1.10. refers to DOY = -92. The 1.2. would be DOY = 32, while 15.11. would be DOY = -47. The snowclass must be one out the character strings 'alpine','maritime','prairie','tundra' and 'taiga'. For the Alps probably 'alpine' would be the most appropriate climate classification. Non computable values are returned as NA.

Value

A vector with daily SWE values in mm.

References

Sturm, M. et al. (2010) 'Estimating Snow Water Equivalent Using Snow Depth Data and Climate Classes', Journal of Hydrometeorology, 11(6), pp. 1380 - 1394. doi: 10.1175/2010JHM1202.1.

swemod documentation built on Nov. 11, 2019, 3 p.m.