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.