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>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | graphics, stats, zoo, lubridate, grDevices |
| Published: | 2021-03-05 |
| Author: | Harald Schellander [aut, cre], Michael Winkler [ctb] |
| Maintainer: | Harald Schellander <harald.schellander at zamg.ac.at> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | nixmass results |
| Reference manual: | nixmass.pdf |
| Package source: | nixmass_1.0.2.tar.gz |
| Windows binaries: | r-devel: nixmass_1.0.2.zip, r-release: nixmass_1.0.2.zip, r-oldrel: nixmass_1.0.2.zip |
| macOS binaries: | r-release (arm64): nixmass_1.0.2.tgz, r-oldrel (arm64): nixmass_1.0.2.tgz, r-release (x86_64): nixmass_1.0.2.tgz, r-oldrel (x86_64): nixmass_1.0.2.tgz |
| Old sources: | nixmass archive |
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