doi:10.1134/S0097807822010146> which involves meteorological data to reveal genetic components of the runoff: ground, rain, thaw and spring (seasonal thaw). High-performance C++17 computation, annually aggregated variables, statistical testing and numerous plotting functions for high-quality visualization.">

grwat: River Hydrograph Separation and Analysis (original) (raw)

River hydrograph separation and daily runoff time series analysis. Provides various filters to separate baseflow and quickflow. Implements advanced separation technique by Rets et al. (2022) <doi:10.1134/S0097807822010146> which involves meteorological data to reveal genetic components of the runoff: ground, rain, thaw and spring (seasonal thaw). High-performance C++17 computation, annually aggregated variables, statistical testing and numerous plotting functions for high-quality visualization.

Version: 0.0.4
Depends: R (≥ 3.3)
Imports: cli, Rcpp, magrittr, dplyr, tidyr, lubridate, stringr, rlang, grid, ggplot2, zoo, trend, mblm, R.utils
LinkingTo: Rcpp
Suggests: ggridges, ggHoriPlot, ggthemes, kableExtra, knitr, ncdf4, rmarkdown, sf, testthat, stringi
Published: 2023-10-27
DOI: 10.32614/CRAN.package.grwat
Author: Timofey Samsonov ORCID iD [aut, cre], Ekaterina Retz ORCID iD [ctb], Maria Kireeva ORCID iD [ctb]
Maintainer: Timofey Samsonov
BugReports: https://github.com/tsamsonov/grwat/issues
License: MIT + file
URL: https://github.com/tsamsonov/grwat
NeedsCompilation: yes
SystemRequirements: pandoc
Language: en-US
Materials: README NEWS
In views: Hydrology
CRAN checks: grwat results

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