tankWrapper

A dataframe of observed climate data in the form Year Month Day P Temp.

data

a list to control the exposure space creation with the following components:<dl class="dl-horizontal">
 <dt><code>roofArea</code></dt><dd>roof area in m2</dd>
 <dt><code>nPeople</code></dt><dd>number of people using water</dd>
 <dt><code>tankVol</code></dt><dd>tank volume in L</dd>
 <dt><code>firstFlush</code></dt><dd>first flush depth over roof in mm</dd>
 <dt><code>write.file</code></dt><dd>logical. write output tank timeseries to file T/F?</dd>
 <dt><code>fnam</code></dt><dd>string indicating name of file</dd>
 <dt><code>metric</code></dt><dd>string indicating what metric to report: average daily deficit - "avDeficit", volumetric reliability - "volRel", reliability - "reliability", storage efficiency - "storEff", system efficiency - "sysEff"</dd>
 </dl>

systemArgs

a number that is used of append file names to distiguish between replicates.

repID

A demo tank model with wrapper to tailor format to foreSIGHT

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 a number of stochastic weather models 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. As further developments in scenario-neutral approaches occur the tool will be updated to incorporate these advances.

Bree Bennett

foreSIGHT

Systems Insights from Generation of Hydroclimatic Timeseries

Sam Culley

Seth Westra

Danlu Guo

Holger Maier

tankWrapper function

a list to control the exposure space creation with the following components:<dl class='dl-horizontal'>
 <dt><code>roofArea</code></dt><dd>roof area in m2</dd>
 <dt><code>nPeople</code></dt><dd>number of people using water</dd>
 <dt><code>tankVol</code></dt><dd>tank volume in L</dd>
 <dt><code>firstFlush</code></dt><dd>first flush depth over roof in mm</dd>
 <dt><code>write.file</code></dt><dd>logical. write output tank timeseries to file T/F?</dd>
 <dt><code>fnam</code></dt><dd>string indicating name of file</dd>
 <dt><code>metric</code></dt><dd>string indicating what metric to report: average daily deficit - "avDeficit", volumetric reliability - "volRel", reliability - "reliability", storage efficiency - "storEff", system efficiency - "sysEff"</dd>
 </dl>

tankWrapper: A demo tank model of the format required for uses in foreSIGHT examples and vignette

Description

Usage

Arguments