Package: foreSIGHT 1.2.0

David McInerney

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.

Authors:Bree Bennett [aut], Sam Culley [aut], Anjana Devanand [aut], David McInerney [aut, cre], Seth Westra [aut], Danlu Guo [ctb], Holger Maier [ths]

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foreSIGHT.pdf |foreSIGHT.html✨
foreSIGHT/json (API)
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Bug tracker:https://github.com/climateanalytics/foresight/issues

On CRAN:

41 exports 1 stars 0.95 score 58 dependencies 18 scripts 393 downloads

Last updated 11 months agofrom:dcf9c72434. Checks:OK: 9. Indexed: yes.

Exports:calculateAttributescreateExpSpacefunc_avgfunc_avgDSDfunc_avgWSDfunc_CSLfunc_dyWetfunc_F0func_GSLfunc_maxDSDfunc_maxWSDfunc_nWetfunc_Pfunc_Rfunc_rngfunc_seasRatiofunc_totfunc_wettest6monPeakDayfunc_wettest6monSeasRatiogenerateScenariogenerateScenariosgetSimSummarymodCalibratormodSimulatorplotExpSpaceplotMultiSiteScenariosplotOptionsplotPerformanceOATplotPerformanceSpaceplotPerformanceSpaceMultiplotScenariosrunSystemModeltankWrapperviewAttributeDefviewAttributeFuncsviewDefaultOptimArgsviewModelParametersviewModelsviewTankMetricsviewVariableswriteControlFile

Dependencies:clicmaescodetoolscolorspacecowplotcpp11crayondata.tabledfoptimdirectlabelsdotCall64fansifarverfieldsforeachGAgenericsggplot2gluegtablehmsisobanditeratorsjsonlitelabelinglatticelifecyclelubridatemagrittrmapsMASSMatrixmgcvmomentsmunsellmvtnormnlmepillarpkgconfigprettyunitsprogressquadprogR6RColorBrewerrcorporaRcppRcppArmadilloRGNrlangscalesSoilHyPspamtibbletimechangeutf8vctrsviridisLitewithr