Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes
Commonly used bias correction methods such as quantile mapping (QM) assume the function of error correction values between modeled and observed distributions are stationary or time invariant. This article finds that this function of the error correction values cannot be assumed to be stationary. As...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Language: | en |
| Published: |
COPERNICUS GESELLSCHAFT MBH
2017
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| Online Access: | http://hdl.handle.net/10150/624439 http://arizona.openrepository.com/arizona/handle/10150/624439 |