The Bias-Corrected and Downscaled Massive Ensemble (BCD-ME)

This repository contains sample notebooks detailing how to access the BCD-ME and the code necessary to replicate it.

For more information, see our preprint:

• Schwarzwald et al., submitted to Nature Sci. Data

and see the BCD-ME pages on Arraylake (and keep an eye out for our upcoming preprint):

• BCD-ME 1° bias-corrected (QDM) temperature time series
• BCD-ME 0.25° bias-corrected (QDM) and downscaled temperature statistics

For sample code on how to access the BCD-ME, see code/sample_data_access.ipynb.

For best results, we recommend creating a new conda environment using the included code/environment.yml file:

conda env create -f environment.yml

# or

mamba env create -f environment.yml