Open aaronspring opened 3 years ago
@PauRiv
I have been thinking about implementing some test cases to ensure the robustness of the package. However, I am not sure about how to do it. May be take data from papers already using or proposing the methods implemented here.
couldnt we create a normal distribution for observations, add some skew or mean shift to get observations and then test that after bias reduction the method='normal_mapping/basic_quantile/modified_quantile' bias-reduced forecasts are on a straight line with observations?
no clue what to do with gamma_mapping
yeah. That's good one. We have to think over the ways to test gamma mapping.
great package. I am wrapping it in https://github.com/pangeo-data/climpred/blob/355f849d19838085705c89d7b912b0e2fae89f07/climpred/bias_removal.py#L492 and it will help us bias correcting precip forecasts.
Is there a way to test
bias_correction
(in a continuous integration sense)?bias_correction
on it and see how whether the results are as expected