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

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NIAID Data Ecosystem2026-03-13 收录
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https://doi.org/10.7910/DVN/R7NRNK
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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/

本数据集配套发表论文:Feinberg 等人(2022):《化学传输模型中植被对大气汞(Hg)的吸收评估》,刊载于《Environmental Science: Processes & Impacts》,DOI:10.1039/D2EM00032F。 模拟数据存储于 GC_data/ 目录,各模拟方案与对应运行编号如下: - BASE:run0005 - OBRIST:run0016 - OBRIST_R:run0017 - AMAZON_L:run0018 - AMAZON_U:run0019 - NEWCHEM:run0102 - NEWCHEM_D:run0105 - 开启南美人为排放的亚马逊雨林稀树草原化模拟:run0020 - 关闭南美人为排放的亚马逊雨林稀树草原化模拟:run0022 - 关闭南美人为排放且无稀树草原化(与 run0019 为常规工况)模拟:run0023 各配图对应的脚本如下: - 图1:map_obs_litter_through_drydep.py - 离线干沉降速率计算脚本:drydep_GEOSChem_landtype_h_v3.py - 图2:compare_drydepvel_offline_obs_v5.py - 图3:temp_compare_seasonal_f0_red.py - 图4:compare_S_America_Hg0_other.py - 图5:左侧子图对应脚本为 drydep_plot_Amazon_v2.py,右侧子图对应脚本为 totaldep_compare_sav.py - 图6:budget.pptx - 补充材料图8(臭氧/汞不同阻力测试):compare_O3_Hg_dep.py 观测数据集存储于 obs_data/ 目录;绘图脚本所需的各类辅助中间数据集存储于 misc_data/ 目录。
创建时间:
2022-05-11
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