Package: nixmass 1.0.2

Harald Schellander

nixmass: Snow Water Equivalent Modeling with the 'Delta.snow' Model and Empirical Regression Models

Snow water equivalent is modeled with the process based 'delta.snow' model and empirical regression models using relationships between density and diverse at-site parameters. The methods are described in Winkler et al. (2021) <doi:10.5194/hess-25-1165-2021>, Guyennon et al. (2019) <doi:10.1016/j.coldregions.2019.102859>, Pistocchi (2016) <doi:10.1016/j.ejrh.2016.03.004>, Jonas et al. (2009) <doi:10.1016/j.jhydrol.2009.09.021> and Sturm et al. (2010) <doi:10.1175/2010JHM1202.1>.

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

# Install 'nixmass' in R:

install.packages('nixmass', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 4 years agofrom:19de9af29f. Checks:OK: 1 NOTE: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Dec 22 2024
R-4.5-linux	NOTE	Dec 22 2024

Help page	Topics
Daily snow depth data for a northern alpine station	hsdata
SWE modeling with the delta.snow process based model and several emprical regression models.	nixmass
Plot modeled SWE values of a nixmass object.	plot.nixmass
Print summary of a nixmass object.	summary.nixmass
SWE modeling from daily snow depth differences	swe.delta.snow
Statistical SWE modeling based on a quadratic dependance on the day-of-year	swe.gu19
Statistical SWE modeling depending on month and climatic region in Switzerland	swe.jo09
Statistical SWE modeling depending on the day-of-year	swe.pi16
Statistical SWE modeling depending on day of year and a climatic region	swe.st10