Compare climate data between a reference and target period. This can be useful to understand how projected future climate differs from historical conditions. The `compare_periods` function generates climate summary statistics for each period, and computes the difference in values between the target and reference period. Uses the output of `cftdata()` as an input.
compare_periods( df, agg_fun = "mean", var1 = "tasmax", var2 = "pr", months1 = 1:12, months2 = 1:12, target_period = c(2080, 2099), reference_period = c(1990, 2019), scenarios = c("rcp45", "rcp85") )
| df | A data frame output from a `cft_df()` run. (data.frame) |
|---|---|
| agg_fun | The aggregating function to applied to the model variables (e.g., "mean"). (character) |
| var1 | The x-axis variable, see cft::argument_reference (e.g., "pr"). (character). |
| var2 | The y-axis variable, see cft::argument_reference (e.g., "tasmax"). character) |
| months1 | The months of the year with which to include in the aggregation of variable 1 (e.g., 5:7 for May, June, and July. (int vector) |
| months2 | The months of the year with which to include in the aggregation of variable 2 (e.g., 5:7 for May, June, and July. (int vector) |
| target_period | The time period within which to apply the aggreating value function (e.g., c(2050, 2075)). (vector) |
| reference_period | The time period with which to compare the target period (e.g., c(1980, 2010)). (vector) |
| scenarios | A vector of representative concetration pathway keys (e.g., c("rcp45", rcp85")). (vector) |
A data.frame with columns containing `target_summary` and `reference_summary` values, and their difference (the column `diff_summary`).