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Tashie, A., Pavelsky, T., & Kumar, M. (2022). A Calibration-Free Groundwater Module for Improving Predictions of Low Flows. Water Resources Research, 58(3), e2021WR030800. https://doi.org/10.1029/2021WR030800
Toum, E., Masiokas, M. H., Villalba, R., Pitte, P., & Ruiz, L. (2021). The HBV.IANIGLA Hydrological Model. The R Journal, 13(1), 378-395. https://doi.org/10.32614/RJ-2021-059
Astagneau, P. C., Thirel, G., Delaigue, O., Guillaume, J. H. A., Parajka, J., Brauer, C. C., Viglione, A., Buytaert, W., & Beven, K. J. (2021). Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective. Hydrology and Earth System Sciences, 25(7), 3937-3973. https://doi.org/10.5194/hess-25-3937-2021
This package contains the HBV hydrological model but in modules, allowing the user to build his/her own HBV model. I developed it as part of my PhD thesis at IANIGLA-CONICET (Instituto Argentino de Nivología Glaciología y Ciencias Ambientales - Consejo Nacional de Investigaciones Científicas y Técnicas) for hydroclimatic studies in the Andes. HBV.IANIGLA incorporates modules for clean and debris covered glacier melt estimations.
HBV.IANIGLA just depends on: - Rcpp (>= 0.12.0)
To install the dependencies, you can use the menu command Packages | Install in Rstudio, or just type:
install.packages("Rcpp")You can download the complete package from CRAN repository as usual:
install.packages("HBV.IANIGLA")I strongly recommend to read the HBV.IANIGLA
vignettes (vignette(package = "HBV.IANIGLA")). This
documents will help you to understand how the model works.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.