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Like all harmonization tools in mrdrivers, toolHarmonizePast takes two magpie objects, 'past' and 'future', and returns a single magpie object, i.e. the harmonized time-series. In this case, the harmonized time-series is always equal to 'past', in the years of 'past'. After that the harmonized time-series depends on the 'method' argument chosen.

Usage

toolHarmonizePast(past, future, method = "level", yEnd = 2100)

Arguments

past

A magpie object with only one scenario/datatype, i.e. the length of the third dimension should be 1.

future

A magpie object.

method

A string defining the harmonization method:

  • "level": the harmonized time-series is exactly equal to 'future' in the years after the last year of 'past'.

  • "growth": the harmonized time-series follows the same growth rates as 'future', in the years after the last year of 'past'.

  • "transition": the harmonized time-series transitions to 'future' by the year 'yEnd'. After yEnd, the harmonized time-series is equal to 'future'. In the transition phase, a share of the absolute difference between past' and future' in the last year of past' is added to future. This share starts at 1 in the last year of 'past' and decreases linearly to 0 by yEnd.

yEnd

Additional input for "transition" method. Year by which the transition period is completed.

Value

A magpie object with the same dimensions as 'future'.

Dimensions of 'past' and 'future'

If the 'future' object has multiple scenarios/datatypes, i.e. the length of the third dimension is larger than 1, then the a harmonized time-series is created for every scenario/datatype in future. The same 'past' object is used in every case - hence the requirement that 'past' only have one scenario/datatype.

Examples

if (FALSE) { # \dontrun{
toolHarmonizePast(past, future)
} # }