The R Journal: article published in 2021, volume 13:1

The HBV.IANIGLA Hydrological Model PDF download
Ezequiel Toum, Mariano H. Masiokas, Ricardo Villalba, Pierre Pitte and Lucas Ruiz , The R Journal (2021) 13:1, pages 378-395.

Abstract Over the past 40 years, the HBV (Hydrologiska ByrÄns Vattenbalansavdelning) hydrological model has been one of the most used worldwide due to its robustness, simplicity, and reliable results. Despite these advantages, the available versions impose some limitations for research studies in mountain watersheds dominated by ice-snow melt runoff (i.e., no glacier module, a limited number of elevation bands, among other constraints). Here we present HBV.IANIGLA, a tool for hydroclimatic studies in regions with steep topography and/or cryospheric processes which provides a modular and extended implementation of the HBV model as an R package. To our knowledge, this is the first modular version of the original HBV model. This feature can be very useful for teaching hydrological modeling, as it offers the possibility to build a customized, open-source model that can be adjusted to different requirements of students and users.

Received: 2020-10-27; online 2021-06-21, supplementary material, (3.2 Kb)
CRAN packages: TUWmodel, topmodel, dynatopmodel, airGR, glacierSMBM, HBV.IANIGLA, Evapotranspiration, Rcpp, microbechmark, DEoptim, tidyverse, sp, raster, hydroGOF, plotly, hydroToolkit
CRAN Task Views implied by cited CRAN packages: Hydrology, Environmetrics, Spatial, SpatioTemporal, HighPerformanceComputing, NumericalMathematics, Optimization, WebTechnologies


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@article{RJ-2021-059,
  author = {Ezequiel Toum and Mariano H. Masiokas and Ricardo Villalba
          and Pierre Pitte and Lucas Ruiz},
  title = {{The HBV.IANIGLA Hydrological Model}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-059},
  url = {https://doi.org/10.32614/RJ-2021-059},
  pages = {378--395},
  volume = {13},
  number = {1}
}