Supplementary data and code for "A new climatology of continentality based on Lagrangian air mass travel times from the ocean"

This repository contains the final dataset (residence_time.nc) and all supplementary code used for the analysis in the Publication: A new climatology of continentality based on Lagrangian air mass travel times from the ocean. The code provides the full workflow, from LARA data processing to the generation of final figures. Contents: residence_time.nc: The primary, aggregated NetCDF dataset of gridded residence times. This is the main data file used for the analysis and figures in the publication. calculate_travel_times.py: The main Python script used to process the source LARA trajectory data (Bakels et al., 2025) and calculate the intermediate, monthly-gridded residence/travel time fields. Due to the size of the data set, this script is designed to be run on a high-performance computing (HPC) cluster. create_final_dataset.ipynb: A Jupyter Notebook that reads the individual monthly output files (generated by calculte_travel_times.py) and aggregates them to create the final, single residence_times.nc file. Fig_1_2.ipynb: A Jupyter Notebook that loads the residence_time.nc data set to perform averaging over the whole time frame (1941-2024) and seasonal averaging to create Figure 1 and Figure 2 for the publication. Fig_3.ipynb: A Juptyter Notebook that loads the residence_time.nc data set to perform averaging over specific areas to create Figure 3 for the publication.