future-hg-ssps

Introduction

Emission files, model output, and supporting data are stored separately on Harvard Dataverse and can be downloaded to the repository directory using fetch_dataverse_files.py.

The script call_all.sh executes the python files listed below. Dependencies for python are listed in requirements.txt.

Source code for the paper:

Geyman, B.M., Streets, D.G., Thackray, C.P., Olson, C.L., Schaefer, K., & Sunderland, E.M. (2024). Projecting global mercury emissions and deposition under the shared socioeconomic pathways. Earth's Future, 12, e2023EF004231. https://doi.org/10.1029/2023EF004231

Authors

• Benjamin M. Geyman
• David G. Streets
• Colin P. Thackray
• Christine L. Olson
• Kevin Schaefer
• Elsie M. Sunderland

Order and purpose of scripts

Main analysis may be run by calling ./scripts/call_all.sh

Main Scripts

• fetch_dataverse_files.py
• attribute_regional_deposition.py
• plot_1_regional_and_category_emissions.py
• plot_2_emission_speciation_trends.py
• plot_3_relative_regional_deposition_change.py
• plot_4_global_deposition_maps.py
• plot_5_legacy_deposition_trends.py
• plot_6_area_normalized_legacy_deposition.py
• plot_S1_compare_to_recent_emissions.py
• plot_S2_own_source_dep.py
• plot_S3_legacy_vs_primary_dep.py
• plot_S4_legacy_deposition_change_map.py
• plot_S5_upper_ocean_mass_trends.py
• plot_S6_source_receptor_matrices.py
• call_all.sh