swe.pi16 {nixmass} | R Documentation |
Statistical SWE modeling depending on the day-of-year
Description
This model parameterizes bulk snow density with day-of-the-year as the only input. It was calibrated for the region of South Tyrol, Italy, and is therefore called ST model in the original reference.
Usage
swe.pi16(data, rho_0=200, K=1)
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 |
rho_0 |
Intercept of the linear regression between observed snow depths and SWE values. |
K |
Slope of the linear regression between observed densities and the day-of-year as defined in the original reference. |
Details
swe.pi16
This function uses only the day-of-year (DOY) as parameterization for bulk snow density and hence SWE. Here, the datums in the input data.frame are converted to DOY as defined in the original reference: negative values between 1.10. and 31.12. DOY=-92 at 1.10. In leap years 31.12. has DOY = 0, in non-leap years 31.12. has DOY = -1 with no day being 0. Non computable values are returned as NA.
Value
A vector with daily SWE values in mm.
References
Pistocchi, A. (2016) 'Simple estimation of snow density in an Alpine region', Journal of Hydrology: Regional Studies. Elsevier B.V., 6(Supplement C), pp. 82 - 89. doi: 10.1016/j.ejrh.2016.03.004.