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cff-version: 1.2.0
message: 'To cite package "foreSIGHT" in publications use:'
type: software
license: GPL-3.0-only
title: 'foreSIGHT: Systems Insights from Generation of Hydroclimatic Timeseries'
version: 2.0.0
doi: 10.32614/CRAN.package.foreSIGHT
abstract: 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) <https://doi.org/10.1029/2012EO410001>
  and Prudhomme et al. (2010) <https://doi.org/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) <https://doi.org/10.1002/2015WR018253>)
  and stochastic simulation of perturbed time series via an inverse approach (see
  Guo et al. (2018) <https://doi.org/10.1016/j.jhydrol.2016.03.025>). It incorporates
  'Richardson-type' weather generator model configurations documented in Richardson
  (1981) <https://doi.org/10.1029/WR017i001p00182>, Richardson and Wright (1984),
  as well as latent variable type model configurations documented in Bennett et al.
  (2018) <https://doi.org/10.1016/j.jhydrol.2016.12.043>, Rasmussen (2013) <https://doi.org/10.1002/wrcr.20164>,
  Bennett et al. (2019) <https://doi.org/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)
  <https://doi.org/10.1016/j.envsoft.2021.104999>. As further developments in scenario-neutral
  approaches occur the tool will be updated to incorporate these advances.
authors:
- family-names: Bennett
  given-names: Bree
  email: bree.bennett@adelaide.edu.au
  orcid: https://orcid.org/0000-0002-2131-088X
- family-names: McInerney
  given-names: David
  email: david.mcinerney@adelaide.edu.au
  orcid: https://orcid.org/0000-0003-4876-8281
- family-names: Culley
  given-names: Sam
  email: sam.culley@adelaide.edu.au
  orcid: https://orcid.org/0000-0003-4798-8522
- family-names: Devanand
  given-names: Anjana
  email: anjana.devanand@adelaide.edu.au
  orcid: https://orcid.org/0000-0001-9422-3894
- family-names: Westra
  given-names: Seth
  email: seth.westra@adelaide.edu.au
  orcid: https://orcid.org/0000-0003-4023-6061
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/ClimateAnalytics/foreSIGHT
commit: ef0f0205ccab92931821266f3d9bc645e5b0a178
url: https://github.com/ClimateAnalytics/foreSIGHT
date-released: '2026-05-27'
contact:
- family-names: McInerney
  given-names: David
  email: david.mcinerney@adelaide.edu.au
  orcid: https://orcid.org/0000-0003-4876-8281