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Add Quantile Delta Mapping (QDM) bias correction method #48
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I've been putting some thought into how best to implement QDM in scikit-downscale - which I'm hoping to do over the next few weeks - and it would be great to get your two cents on this, @jhamman! What I'm roughly envisioning is updating the I'm also thinking it probably makes more sense not to have specific temperature and precipitation subclasses but to absorb the temperature and precip-specific functionality into the method subclass, or some sort of wrapper function that would account for method differences, considering that we'll want to add functionality for bias correcting other variables as well. |
The QDM bias correction method, developed by Alex Cannon (see Cannon et al 2015) preserves relative changes in quantiles by applying simulated relative changes in quantiles on top of observed historical series. It has three basic steps:
It is also the first step in the Multivariate Bias Correction (MBC) methods (e.g. MBCp, MBCr and MBCn).
cc @kemccusker
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