Project climate time series into the future based on estimated distributional changes of a different set of climate time series, potentially spanning multiple runs over the same time frame, based on the quantile mapping methodology for multi-member climate ensembles developed by Haugen et al. (2018). In its most common use, it allows for a weather or reanalysis variable (i.e. near-surface air temperature) to be projected by the estimated change in distribution shape of a large model ensemble, such as CESM-LE. This gives a future time series reflecting the estimated distributional change in the model. Code is built off of and based on code by Matz Haugen (original found here: https://github.com/matzhaugen/future-climate-emulations-analysis) and is used with permission.
|Maintainer||Kevin Schwarzwald <[email protected]>|
|License||What license is it under?|
|Package repository||View on GitHub|
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