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nixmass

R-package with functions for Snow Water Equivalent Modeling with the $\Delta\text{SNOW}$ Model, the HS2SWE Model and some Empirical Regression Models.

Snow water equivalent can be modeled either with the process based models $\Delta\text{SNOW}$ and HS2SWE, or with empirical regression models, which use relationships between density and diverse at-site parameters. The $\Delta\text{SNOW}$ model is described in Winkler et al. (2021), the HS2SWE model is described in Magnusson et al., (2025), the empirical regression models in Guyennon et al. (2019), Pistocchi (2016), Jonas et al. (2009) and Sturm et al. (2010).

Installation

The easiest way to get nixmass is to install it from CRAN. Note however that this version already lacks some new features and bug fixes.

install.packages("nixmass")

Development version

To install the development version from GitHub

# install.packages("pak")
pak::pak("haraldschellander/nixmass")

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Version

Install

install.packages('nixmass')

Monthly Downloads

209

Version

1.3.1

License

GPL-3

Maintainer

Harald Schellander

Last Published

May 9th, 2025

Functions in nixmass (1.3.1)

hs2swe

A model which translates snow depth observations to snow water equivalents
swe.jo09

Statistical SWE modeling depending on month and climatic region in Switzerland
hsdata

Daily snow depth data for a northern alpine station
nixmass

SWE modeling with the delta.snow process based model and several empirical regression models.
swe.gu19

Statistical SWE modeling based on a quadratic dependance on the day-of-year
swe.st10

Statistical SWE modeling depending on day of year and a climatic region
summary.nixmass

Print summary of a nixmass object.
swe.delta.snow

SWE modeling from daily snow depth differences
plot.nixmass

Plot modeled SWE values of a nixmass object.
swe.pi16

Statistical SWE modeling depending on the day-of-year