Release v0.6

• fixed error when custom exception was raised
• adjusted pyint hints
• extended testing

Release v0.5.4.2

• limitation to additive for variance scaling
• adjusted required dependency versions

Release v0.5.4.1

• Fixed adjust_3d "cannot pickle '_thread.lock' object"-Error for newer xarray versions
• changed license on PyPI
• adjusted input filenames in the examples and readme

Release v0.5.4

• added max_scaling_factor for linear_scaling () and delta_method ()

--> To avoid unrealistic scaling factors for example when the model does not include heavy rainfalls in the deserts as it is the case in the observational data. So an unrealistic scaling factor like 1000+ can be avoided. The default value is set to 10 and can be changed by the max_scaling_factor parameter.

Release v0.5.3

-fixed inconsistent return types

• fixed unknown variable error

v0.5.2

• Fixed detrended quantile mapping for ratio based variables.
• Fixed README.md examples.

v0.5.1

Initial publish - Bias adjustment/correction procedures for climate data

Available methods

• Linear Scaling
• Variance Scaling
• Delta (Change) Method
• Quantile Mapping
• Quantile Delta Mapping