swe.pi16 | R Documentation |
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.
swe.pi16(data, rho_0 = 200, K = 1)
data |
A data.frame with at least two columns named |
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. |
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.
A vector with daily SWE values in mm.
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.
data(hsdata)
swe <- swe.pi16(hsdata)
summary(swe)
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