Python code to calculate Lamb circulation types derived from historical CMIP simulations and reanalysis data

This collection of Python scripts serves to 1) bring GCM and reanalysis data to a common grid (interpolator.py), 2) to calculate Lamb Weather Types between 30 and 70 degrees N and S on the grid-box scale using a moving window (makecalcs.py) and 3) to analyze the results (analysis_hist.py and analysis_ensemble.py) as was done in the following studies:

Brands, S (2022): A circulation-based performance atlas of the CMIP5 and 6 models for regional climate studies in the Northern Hemisphere mid-to-high latitudes, Geosci. Model Dev., 15, 1375–1411, https://doi.org/10.5194/gmd-15-1375-2022

Brands, S (2022): Common error patterns in the regional atmospheric circulation simulated by the CMIP multi-model ensemble. Geophysical Research Letters, 49, e2022GL101446, https://doi.org/10.1029/2022GL101446

Contact: Swen Brands, brandssf@ifca.unican.es

Update history:

Version 2 contains an updated version of <get_historical_metadata.py>

Version 3 contains an updated version of <get_historical_metadata.py>, the files are no longer packed.

Version 4 contains an updated version of <get_historical_metadata.py>, including metadata for additional GCMs, and an updated version of <analysis_hist.py>, including the code for a correlation matrix of the GCMs' error patterns. From this version onwards, the scripts can also be used for the Southern Hemisphere. Since the Python function <get_historical_metadata.py> is collaborative effort, it is no longer contained in this script collection and was published in the separate Zenodo entry https://doi.org/10.5281/zenodo.7813495