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.
