Detect and Characterize Sub-Daily Flow Fluctuations R package hydropeak version 0.1.3 CRAN Task View: Hydrology (https://CRAN.R-project.org/view=Hydrology) An important environmental impact on running water ecosystems is caused by hydropeaking - the discontinuous release of turbine water because of peaks of energy demand. An event-based algorithm is implemented to detect flow fluctuations referring to increase events (IC) and decrease events (DC). For each event, a set of parameters related to the fluctuation intensity is calculated. The framework is introduced in Greimel et al. (2016) "A method to detect and characterize sub-daily flow fluctuations" <doi:10.1002/hyp.10773> and can be used to identify different fluctuation types according to the potential source: e.g., sub-daily flow fluctuations caused by hydropeaking, rainfall, or snow and glacier melt. This is a companion to the package 'hydroroute', which is used to detect and follow hydropower plant-specific hydropeaking waves at the sub-catchment scale and to describe how hydropeaking flow parameters change along the longitudinal flow path as proposed and validated in Greimel et al. (2022) <doi:10.1002/rra.3978>. Software Depends: R (>= 4.1.0) Imports: utils, parallel Suggests: rmarkdown, knitr, testthat (>= 3.0.0), data.table Bettina Grün <Bettina.Gruen@R-project.org> Comprehensive R Archive Network (CRAN) Bettina Grün [cre, ctb] (ORCID: <https://orcid.org/0000-0001-7265-4773>), Julia Haider [aut], Benjamin Altmann [ctb] (ORCID: <https://orcid.org/0009-0000-2451-6018>), Franz Greimel [ctb] (ORCID: <https://orcid.org/0000-0002-8000-1227>) GPL-2 2026-06-24 application/tgz https://CRAN.R-project.org/package=hydropeak doi:10.32614/CRAN.package.hydropeak