HBV.IANIGLA

Publications

Majid, Z., O’Connor, P., Széles, B., Khalil, A., Ashraf, S., Aziz, R., Javed, M.A., Parajka, J., 2026. Hydrological Performance of Uncorrected CORDEX-SA Climate Model Outputs Across Glacier, Snow and Rain–Snow Regimes in the Upper Indus Basin. Water 18, 1667. https://doi.org/10.3390/w18141667

Roksvåg, T., Vandeskog, S.M., Wulff, C.O., Wergeland, K., 2026. An LSTM network for joint modeling of streamflow and hydropower generation for run-of-river plants. Journal of Hydrology 667, 134890. https://doi.org/10.1016/j.jhydrol.2025.134890

Toum, E., Villalba, R., Masiokas, M.H., 2025. Snow and Glacier Contributions to the Mendoza River in the Semiarid Central Andes of Argentina. Hydrological Processes 39, e70132. https://doi.org/10.1002/hyp.70132

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

Overview

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.

Installation instructions

Dependencies

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")

Installing HBV.IANIGLA

You can download the complete package from CRAN repository as usual:

install.packages("HBV.IANIGLA")

Examples

I strongly recommend to read the HBV.IANIGLA vignettes (vignette(package = "HBV.IANIGLA")). This documents will help you to understand how the model works.