MBCn - Why an univariate adjustment before applying NpdfTransform? #1894
Unanswered
sylvainmarchi
asked this question in
Questions
Replies: 1 comment
-
Hi Sylvain, You are right, in (Cannon, 2018), we first have:
In the
I also concluded there was not much difference, but in newer version of Both the standardization and univariate QDM are now performed in a single class Let me know if you have more questions. Cheers, |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Setup Information
Context
I would like to apply the MBCn algorithm to Euro-CORDEX data. I followed this helpful tutorial:
https://xclim.readthedocs.io/en/stable/notebooks/sdba.html#Fourth-example-:-Multivariate-bias-adjustment-with-multiple-steps-(Cannon,-2018)
I successfully reproduced the example. However, I’m curious about why a univariate adjustment is performed before applying the N-dimensional probability density function transform. I understand that the univariate adjustments are used afterward, but in Cannon (2018), isn’t the NpdfTransform applied to the standardized raw data?
Perhaps it doesn’t make much difference. I tested using the raw standardized stacked data, and it produces similar (by eye, I haven't investigated much) results. I thought the reason might be related to the convergence speed of the algorithm. However, the E-score converges similarly in both cases.
Thanks for sharing your thoughts on this and for taking the time to develop this useful package.
Sylvain
Steps To Reproduce
Beta Was this translation helpful? Give feedback.
All reactions