shockVariables
Description
cs = shockVariables(
applies a shock to a variable in the cs,referenceScenario,Name=Value)climateScenario
object, cs, against a reference scenario and appends the new variable
to the property cs.IndentifierValues.Variable. The function computes the
shock by taking the difference of a specified variable relative to a reference scenario. For
example, cs = shockVariables(cs,referenceScenario,Variable="Carbon
price") shocks the carbon price variable against the reference scenario
contained in referenceScenario.
.
Examples
Shock the values of a climateScenario object variable, relative to a reference scenario. The climate transition scenario data that this example uses is available from the Bank of Canada and is free of charge at http://www.bankofcanada.ca.
Load the data.
load("BankOfCanadaClimateScenarioData.mat")
data = ClimateTransitionScenarioData;
head(data) k CL_GEOGRAPHY CL_SECTOR CL_VARIABLE CL_UNIT CL_SCENARIO CL_YEAR CL_VALUE
_ ____________ _________ _______________________________ ___________________ ________________________ _______ ________
1 Canada National Carbon price US$2014/tCO2e Baseline (2019 policies) 2020 12.106
2 Canada National Carbon price US$2014/tCO2e Below 2°C immediate 2020 12.106
3 Canada National Emissions | total GHG (scope 1) Million tonnes CO2e Baseline (2019 policies) 2020 781.04
4 Canada National Emissions | total GHG (scope 1) Million tonnes CO2e Below 2°C immediate 2020 781.04
5 Canada National Input price | Coal Index (2014 = 1) Baseline (2019 policies) 2020 1.2875
6 Canada National Input price | Coal Index (2014 = 1) Below 2°C immediate 2020 1.2875
7 Canada National Input price | Crops Index (2014 = 1) Baseline (2019 policies) 2020 1.0031
8 Canada National Input price | Crops Index (2014 = 1) Below 2°C immediate 2020 1.0031
Create a climateScenario object.
cs = climateScenario(data, ... RegionVar="CL_GEOGRAPHY", ... VariableVar="CL_VARIABLE", ... ScenarioVar="CL_SCENARIO", ... YearVar="CL_YEAR", ... ValueVar="CL_VALUE", ... CustomIdentifiers="Sector", ... CustomIdentifierVars="CL_SECTOR", ... UnitVar="CL_UNIT");
Use shockVariables to shock the Carbon price variable against a reference scenario, Baseline (2019 policies), by using the Variable name-value argument.
referenceScenario = "Baseline (2019 policies)"; cs = shockVariables(cs,referenceScenario,Variable="Carbon price");
To display the new variable, first query the output climateScenario object, cs, for the variable Carbon price Shocked Against Baseline (2019 policies) by using the query function. Then display the last few rows.
shockedCarbonPrices = query(cs,Variable="Carbon price Shocked Against Baseline (2019 policies)");
tail(shockedCarbonPrices) CL_GEOGRAPHY CL_SECTOR CL_VARIABLE CL_UNIT CL_SCENARIO CL_YEAR CL_VALUE
_________________ _________ _____________________________________________________ _______________ _____________________ _______ ________
Rest of the world National Carbon price Shocked Against Baseline (2019 policies) Relative Change Net-zero 2050 (1.5°C) 2050 30.65
Global Global Carbon price Shocked Against Baseline (2019 policies) Relative Change Net-zero 2050 (1.5°C) 2020 0
Global Global Carbon price Shocked Against Baseline (2019 policies) Relative Change Net-zero 2050 (1.5°C) 2025 23.442
Global Global Carbon price Shocked Against Baseline (2019 policies) Relative Change Net-zero 2050 (1.5°C) 2030 24.195
Global Global Carbon price Shocked Against Baseline (2019 policies) Relative Change Net-zero 2050 (1.5°C) 2035 20.19
Global Global Carbon price Shocked Against Baseline (2019 policies) Relative Change Net-zero 2050 (1.5°C) 2040 19.26
Global Global Carbon price Shocked Against Baseline (2019 policies) Relative Change Net-zero 2050 (1.5°C) 2045 26.098
Global Global Carbon price Shocked Against Baseline (2019 policies) Relative Change Net-zero 2050 (1.5°C) 2050 39.005
Input Arguments
Climate scenario object, specified as a climateScenario
object.
Reference scenario, specified as a string scalar. The function uses the reference
scenario as a baseline to compute relative differences for a given variable. You select
the reference scenario by choosing a value from the property
cs.IdentifierValues.Scenario.
Example: referenceScenario = "Baseline (2019
policies)"
Name-Value Arguments
Specify optional pairs of arguments as
Name1=Value1,...,NameN=ValueN, where Name is
the argument name and Value is the corresponding value.
Name-value arguments must appear after other arguments, but the order of the
pairs does not matter.
Example: cs = shockVariables(cs,referenceScenario,Variable="Carbon
price") shocks the carbon price against the reference scenario contained in
referenceScenario.
Region identifier values, specified as a string vector. By default, all the
regions are returned if you do not specify a string vector for
Region.
Variable identifier values, specified as a string vector. By default, all the
variables are returned if you do not specify a string vector for
Variable.
Scenario identifier values, specified as a string vector. By default, all the
scenarios are returned if you do not specify a string vector for
Scenario.
Year identifier values, specified as a numeric vector. By default, all the years
are returned if you do not specify a numeric vector for
Year.
Names of custom identifiers, specified as a string vector containing values of
cs.CustomerIndentifiers. CustomIdentifers must
match an identifier property contained in cs.CustomIdentifiers. For
example, if "Sector" is a custom identifier for the property
cs.CustomIdentifier, then cs =
shockVariables(cs,"Baseline (2019 policies)",Region="Canada",Variable="Capital
expenditure",Sector="Coal") shocks capital expenditure in Canada for the
coal sector against a reference scenario, Baseline (2019 policies).
Version History
Introduced in R2025a
See Also
climateScenario | plot | query | groupRegions | sumVariables | divideVariables
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