calculateAttributes

data.frame; daily climate data, the attributes of which are to be calculated. <code>climateData</code> should be a data.frame with columns named year month day *variable_name1* *variable_name2*. 
Use <code>viewModels()</code> to view the valid variable names. Note that the first three columns of the data.frame contain the year, month, and day of the data. The columns have to be named as specified.
Please refer data provided with the package that may be loaded using <code>data(tankDat)</code> for an example of the expected format of <code>climateData</code>.

climateData

a vector; specifying the names of the attributes to be calculated.

attSel

a number (default <code>NULL</code>); to specify the starting year to subset <code>climateData</code> if required. 
If <code>NULL</code>, <code>startYr</code> is starting year in the input <code>climateData</code>.

startYr

a number (default <code>NULL</code>); to specify the ending year to subset <code>climateData</code> if required. 
If <code>NULL</code>, <code>endYr</code> is last year in the input <code>climateData</code>.

endYr

<code>calculateAttributes</code> calculates the specified attributes of the input daily hydroclimate time series.

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. 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

Anjana Devanand

Seth Westra

Danlu Guo

Holger Maier

calculateAttributes function

<dl><dt>climateData</dt>
<dd>data.frame; daily climate data, the attributes of which are to be calculated. <code>climateData</code> should be a data.frame with columns named year month day *variable_name1* *variable_name2*. 
Use <code>viewModels()</code> to view the valid variable names. Note that the first three columns of the data.frame contain the year, month, and day of the data. The columns have to be named as specified.
Please refer data provided with the package that may be loaded using <code>data(tankDat)</code> for an example of the expected format of <code>climateData</code>.</dd>
<dt>attSel</dt>
<dd>a vector; specifying the names of the attributes to be calculated.</dd>
<dt>startYr</dt>
<dd>a number (default <code>NULL</code>); to specify the starting year to subset <code>climateData</code> if required. 
If <code>NULL</code>, <code>startYr</code> is starting year in the input <code>climateData</code>.</dd>
<dt>endYr</dt>
<dd>a number (default <code>NULL</code>); to specify the ending year to subset <code>climateData</code> if required. 
If <code>NULL</code>, <code>endYr</code> is last year in the input <code>climateData</code>.</dd></dl>

Arguments

Calculates the attributes of the hydroclimate time series — calculateAttributes

<dl>

<dt>climateData</dt>
<dd>data.frame; daily climate data, the attributes of which are to be calculated. <code>climateData</code> should be a data.frame with columns named year month day *variable_name1* *variable_name2*. 
Use <code>viewModels()</code> to view the valid variable names. Note that the first three columns of the data.frame contain the year, month, and day of the data. The columns have to be named as specified.
Please refer data provided with the package that may be loaded using <code>data(tankDat)</code> for an example of the expected format of <code>climateData</code>.</dd>


<dt>attSel</dt>
<dd>a vector; specifying the names of the attributes to be calculated.</dd>


<dt>startYr</dt>
<dd>a number (default <code>NULL</code>); to specify the starting year to subset <code>climateData</code> if required. 
If <code>NULL</code>, <code>startYr</code> is starting year in the input <code>climateData</code>.</dd>


<dt>endYr</dt>
<dd>a number (default <code>NULL</code>); to specify the ending year to subset <code>climateData</code> if required. 
If <code>NULL</code>, <code>endYr</code> is last year in the input <code>climateData</code>.</dd>

</dl>

calculateAttributes: Calculates the attributes of the hydroclimate time series

Description

Usage

Value

Arguments

See Also

Examples