Data and plotting scripts for the publication: \"Evaluating atmospheric mercury (Hg) uptake by vegetation in a chemistry-transport model\"

Model data and code for the publication:  Feinberg et al. (2022): Evaluating atmospheric mercury (Hg) uptake by vegetation in a chemistry-transport model, Environmental Science: Processes & Impacts, https://doi.org/10.1039/D2EM00032F The simulations are (GC_data/): BASE - run0005 OBRIST - run0016 OBRIST_R - run0017 AMAZON_L - run0018 AMAZON_U - run0019 NEWCHEM - run0102 NEWCHEM_D - run0105 savannization of Amazon rainforest w/ South American anthropogenic emissions on - run0020 savannization of Amazon rainforest w/ South American anthropogenic emissions off - run0022 no savannization (normal conditions like run0019) w/ South American anthropogenic emissions off - run0023 The scripts for the Figures are: Figure 1 - map_obs_litter_through_drydep.py Calculation of offline drydep velocities:  drydep_GEOSChem_landtype_h_v3.py Figure 2 - compare_drydepvel_offline_obs_v5.py Figure 3 - temp_compare_seasonal_f0_red.py Figure 4 - compare_S_America_Hg0_other.py Figure 5  - left side - drydep_plot_Amazon_v2.py, right side - totaldep_compare_sav.py Figure 6 - budget.pptx SI Figure 8 - Trying different resistances for O3/Hg -  compare_O3_Hg_dep.py Observational datasets are located in obs_data/ Miscellaneous intermediate datasets for plotting scripts are located in misc_data/