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

Snow water equivalent is modeled with the process based models 'delta.snow' and 'HS2SWE' and empirical regression, which use relationships between density and diverse at-site parameters. The methods are described in Winkler et al. (2021) , Magnusson et al. (2025) , Guyennon et al. (2019) , Pistocchi (2016) , Jonas et al. (2009) and Sturm et al. (2010) .


nixmass

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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")

Reference manual

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install.packages("nixmass")

1.3.1 by Harald Schellander, a year ago


https://haraldschellander.github.io/nixmass/


Browse source code at https://github.com/cran/nixmass


Authors: Harald Schellander [aut, cre, cph] , Michael Winkler [ctb, cph]


Documentation:   PDF Manual  


GPL-3 license


Imports colorspace, dplyr, lubridate, tidyr, utils, zoo

Depends on ggplot2, graphics, grDevices, stats

Suggests spelling, testthat


See at CRAN