Long-term Emulator

Image sources 1, 2, and 3.

Scripts

• For other scripts designing the emulator see other repository.
• Concatenate simulator data for the year (concat_simulation_data.ipynb).
• Verification plots of monthly simulation data (check_simulation_data.ipynb).
• Create ozone seasonal metric from simulator runs (create_o3_metric.py). Submitted to HPC (create_o3_metric.bash) using Dask for workers viewing worker status on Jupyter Lab.
• Create ozone seasonal metric for measurements (create_o3_metric_measurements.py and create_o3_metric_measurements.bash).
• Create emulator input dictionaries (create_emulator_inputs_outputs_df_crop).
• Emulator cross-validation and sensitivity analysis (emulator_creation.ipynb). Interactively computed on a HPC using Dask and Jupyter Lab following instructions here.
• Emulator predictions for custom inputs (emulator_predictions.py). Submitted to HPC (emulator_predictions.bash) using Dask for workers viewing worker status on Jupyter Lab. Can submit in batch mode (emulator_predictions_batch.bash).
• Regrid custom outputs to population grid of the world (regrid_to_popgrid.py). Submitted to HPC (regrid_to_popgrid.bash) using Dask for workers viewing worker status on Jupyter Lab. Can submit in batch mode (regrid_to_popgrid_batch.bash).
  • For PM2.5, may need adjust_for_double_emissions.ipynb and the variant adjusted_for_double_emissions_and_regrid_to_popgrid.py instead.
• Create scaling metrics of evaluation against measurements (wrfchem_evaluation_scaling.ipynb).
• Scale predictions to measurements (scale_to_measurements.py). Submitted to HPC (scale_to_measurements.bash) using Dask for workers viewing worker status on Jupyter Lab. Can submit in batch mode (scale_to_measurements.bash).
• Crop population-weighted output predictions to region's shapefile (popweighted_region.py). Submitted to HPC (popweighted_region.bash) using Dask for workers viewing worker status on Jupyter Lab. Uses cropping functions (cutshapefile.py).
• Create shapefile clips for the each country, province, and prefecture used in the health impact assessment (create_shapefile_clips.ipynb).
• Long-term health impact assessment per configuration (health_impacts_per_emission_configuration.py). Submitted to HPC (health_impacts_per_emission_configuration.bash) using Dask for workers viewing worker status on Jupyter Lab. Can submit in batch mode (health_impacts_per_emission_configuration.bash).
• Bottom-up matching of emission configurations that match recent air quality trends (find_emissions_that_caused_air_quality_change.py and find_emissions_that_caused_air_quality_change.bash). Can submit in batch mode (find_emissions_that_caused_air_quality_change_batch.bash).
• Various emulator plots including emulator evaluation, sensitivity maps, prediction maps, and 2D contour pairs, (emulator_plots.ipynb and find_emissions_that_caused_air_quality_change.ipynb).
• Plots for emissions (emission_plots.ipynb).

Setup Python environment

• Create a conda environment with the required libraries from the config file (.yml) in the repository:

conda env create --name pangeo --file=pangeo_latest.yml  
pip install salib dask_labextension pyarrow  
jupyter labextension install dask-labextension  
jupyter labextension install @jupyter-widgets/jupyterlab-manager  

License

This code is currently licensed under the GPLv3 License, free of charge for non-commercial use.