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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: | 1.2.0 |
Depends: | R (≥ 3.5.0), GA (≥ 3.0.2) |
Imports: | ggplot2 (≥ 3.3.0), directlabels, cowplot, stats, graphics, grDevices, utils, moments, jsonlite, progress, rcorpora, scales, viridisLite, fields, rlang, lattice, mvtnorm, Matrix, SoilHyP, cmaes, dfoptim, RGN |
LinkingTo: | Rcpp |
Suggests: | knitr (≥ 1.8), rmarkdown (≥ 1.18), testthat, evd |
Published: | 2023-10-19 |
DOI: | 10.32614/CRAN.package.foreSIGHT |
Author: | Bree Bennett |
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 |
Reference manual: | foreSIGHT.pdf |
Vignettes: |
Quick Start Guide: Rainwater Tank Case Study Detailed Tutorial: Climate 'Stress-Testing' using *fore*SIGHT |
Package source: | foreSIGHT_1.2.0.tar.gz |
Windows binaries: | r-devel: foreSIGHT_1.2.0.zip, r-release: foreSIGHT_1.2.0.zip, r-oldrel: foreSIGHT_1.2.0.zip |
macOS binaries: | r-release (arm64): foreSIGHT_1.2.0.tgz, r-oldrel (arm64): foreSIGHT_1.2.0.tgz, r-release (x86_64): foreSIGHT_1.2.0.tgz, r-oldrel (x86_64): foreSIGHT_1.2.0.tgz |
Old sources: | foreSIGHT archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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