A trend-preserving bias correction – the ISI-MIP approach
Abstract
. Statistical bias correction is commonly applied within climate impact modelling to correct climate model data for systematic deviations of the simulated historical data from observations. Methods are based on transfer functions generated to map the distribution of the simulated historical data to that of the observations. Those are subsequently applied to correct the future projections. Here, we present the bias correction method that was...
Paper Details
Title
A trend-preserving bias correction – the ISI-MIP approach
Published Date
Jul 31, 2013
Volume
4
Issue
2
Pages
219 - 236
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