foreSIGHT: Systems Insights from Generation of Hydroclimatic Timeseries
A tool to create hydroclimate scenarios, stress test systems and visualize system performance in scenario-neutral climate change impact assessments. Scenario-neutral approaches 'stress-test' the performance of a modelled system by applying a wide range of plausible hydroclimate conditions (see Brown & Wilby (2012) <doi:10.1029/2012EO410001> and Prudhomme et al. (2010) <doi:10.1016/j.jhydrol.2010.06.043>). These approaches allow the identification of hydroclimatic variables that affect the vulnerability of a system to hydroclimate variation and change. This tool enables the generation of perturbed time series using a range of approaches including simple scaling of observed time series (e.g. Culley et al. (2016) <doi:10.1002/2015WR018253>) and stochastic simulation of perturbed time series via an inverse approach (see Guo et al. (2018) <doi:10.1016/j.jhydrol.2016.03.025>). It incorporates 'Richardson-type' weather generator model configurations documented in Richardson (1981) <doi:10.1029/WR017i001p00182>, Richardson and Wright (1984), as well as latent variable type model configurations documented in Bennett et al. (2018) <doi:10.1016/j.jhydrol.2016.12.043>, Rasmussen (2013) <doi:10.1002/wrcr.20164>, Bennett et al. (2019) <doi:10.5194/hess-23-4783-2019> to generate hydroclimate variables on a daily basis (e.g. precipitation, temperature, potential evapotranspiration) and allows a variety of different hydroclimate variable properties, herein called attributes, to be perturbed. Options are included for the easy integration of existing system models both internally in R and externally for seamless 'stress-testing'. A suite of visualization options for the results of a scenario-neutral analysis (e.g. plotting performance spaces and overlaying climate projection information) are also included. Version 1.0 of this package is described in Bennett et al. (2021) <doi:10.1016/j.envsoft.2021.104999>. As further developments in scenario-neutral approaches occur the tool will be updated to incorporate these advances.
| Version: | 2.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2 (≥ 3.3.0),GA (≥ 3.0.2),Rcpp,rlang,directlabels,cowplot, stats, graphics, grDevices, utils,jsonlite,progress,scales,viridisLite,fields,lattice,mvtnorm,Matrix,SoilHyP,dfoptim,RGN,foreach,BLRPM,doParallel,dplyr,lubridate,tidyr, methods,zoo,airGR |
| LinkingTo: | Rcpp |
| Suggests: | knitr (≥ 1.8),rmarkdown (≥ 1.18),testthat (≥ 3.0.0) |
| Published: | 2025-09-14 |
| DOI: | 10.32614/CRAN.package.foreSIGHT |
| Author: | Bree Bennett [aut], David McInerney [aut, cre], Sam Culley [aut], Anjana Devanand [aut], Seth Westra [aut], Danlu Guo [ctb], Holger Maier [ths] |
| Maintainer: | David McInerney <david.mcinerney at adelaide.edu.au> |
| BugReports: | https://github.com/ClimateAnalytics/foreSIGHT/issues |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | foreSIGHT results |
Documentation:
| Reference manual: | foreSIGHT.html ,foreSIGHT.pdf |
| Vignettes: | Introduction to climate stress testing using foreSIGHT (source) 'Stress-Testing' using *fore*SIGHT: Stochastic simulation (source) |
Downloads:
| Package source: | foreSIGHT_2.0.0.tar.gz |
| Windows binaries: | r-devel:foreSIGHT_2.0.0.zip, r-release:foreSIGHT_2.0.0.zip, r-oldrel:foreSIGHT_2.0.0.zip |
| macOS binaries: | r-release (arm64):foreSIGHT_2.0.0.tgz, r-oldrel (arm64):foreSIGHT_2.0.0.tgz, r-release (x86_64):foreSIGHT_2.0.0.tgz, r-oldrel (x86_64):foreSIGHT_2.0.0.tgz |
| Old sources: | foreSIGHT archive |
Linking:
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