Package: nixmass 1.4.0

Harald Schellander

nixmass: 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) <doi:10.5194/hess-25-1165-2021>, Magnusson et al. (2025) <doi:10.1016/j.coldregions.2025.104435>, 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, cph], Michael Winkler [ctb, cph], Jakob Werkgarner [ctb]

nixmass_1.4.0.tar.gz
nixmass_1.4.0.zip(r-4.7-any)nixmass_1.4.0.zip(r-4.6-any)
nixmass_1.4.0.tar.gz(r-4.7-any)nixmass_1.4.0.tar.gz(r-4.6-any)
nixmass_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
nixmass/json (API)

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

Bug tracker:https://github.com/haraldschellander/nixmass/issues

Pkgdown/docs site:https://haraldschellander.github.io

Datasets:
  • hsdata - Daily snow depth data for a northern alpine station

On CRAN:

Conda:

2.10 score 25 scripts 266 downloads 7 exports 34 dependencies

Last updated from:c45a50a8ae. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK125
source / vignettesOK166
linux-releaseOK121
windows-develOK99
windows-releaseOK91
wasm-releaseOK106

Exports:hs2swenixmassswe.delta.snowswe.gu19swe.jo09swe.pi16swe.st10

Dependencies:clicolorspacecpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrzoo