Data for "Response of Aerosols and Tropospheric Gases to Wildfire Emission Scenarios"
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Data and Jupyter notebooks (python) reproducing the findings of the study: Petrakis, M.P.; Boleti, E.; Mourgela, R.-N.; Seiradakis, K.; Roșu, I.A.; Voulgarakis, A. Response of Aerosols and Tropospheric Gases to Wildfire Emission Scenarios. Environ. Earth Sci. Proc. 2025, 35, 16. https://doi.org/10.3390/eesp2025035016 This study utilizes the EC-Earth3 Earth System Model [1] to investigate how interannual variability in biomass burning (BB) emissions influences variability in total aerosol optical depth (AOD), as well as carbon monoxide (CO) and ozone (O$_3$) tropospheric columns. Hindcast simulations were conducted spanning 1997 - 2006 with EC-Earth3 in its atmosphere-only configuration (EC-Earth3-AerChem) [2] under three BB scenarios: base: BB emissions enabled mean: BB emissions with seasonal but no interannual variability zero: BB emissions nullified Hindcasts utilized BB emissions as specified for the historical simulations of the Coupled Model Intercomparison Project Phase 6 (BB4CMIP6) [3]. We demonstrate (in notebook 02-Plot-AOD-CO-O3.ipynb) that fluctuations in biomass burning emissions impact AOD, CO, and O$_3$ variability at regional and global scales. The archive contains the following output variables for all scenarios: Variable Description Units areacella Model grid cell area m$^2$ airmass Airmass at model levels kg/m$^2$ co Volume mixing ratio of carbon monoxide (CO) at model levels mole/mole od550aer Aerosol optical depth (AOD) at 550 nm dimensionless od550bc Black carbon (BC) AOD at 550 nm dimensionless phalf Air pressure on model half-levels Pa ptp Thermal tropopause pressure Pa tropoz Tropospheric ozone column Dobson Units (DU) References [1] Döscher, Ralf, Mario Acosta, Andrea Alessandri, et al. “The EC-Earth3 Earth System Model for the Coupled Model Intercomparison Project 6.” Geoscientific Model Development 15, no. 7 (2022): 2973–3020. https://doi.org/10.5194/gmd-15-2973-2022. [2] Noije, Twan van, Tommi Bergman, Philippe Le Sager, et al. “EC-Earth3-AerChem: A Global Climate Model with Interactive Aerosols and Atmospheric Chemistry Participating in CMIP6.” Geoscientific Model Development 14, no. 9 (2021): 5637–68. https://doi.org/10.5194/gmd-14-5637-2021. [3] Marle, Margreet J. E. van, Silvia Kloster, Brian I. Magi, et al. “Historic Global Biomass Burning Emissions for CMIP6 (BB4CMIP) Based on Merging Satellite Observations with Proxies and Fire Models (1750–2015).” Geoscientific Model Development 10, no. 9 (2017): 3329–57. https://doi.org/10.5194/gmd-10-3329-2017.
本数据集包含用于复现下述研究成果的数据与Python语言编写的Jupyter Notebook文件： Petrakis, M.P.; Boleti, E.; Mourgela, R.-N.; Seiradakis, K.; Roșu, I.A.; Voulgarakis, A. 《气溶胶与对流层气体对野火排放情景的响应》，发表于*Environ. Earth Sci. Proc.* 2025, 35, 16，DOI: 10.3390/eesp2025035016。 本研究依托EC-Earth3地球系统模型（EC-Earth3 Earth System Model），探究生物质燃烧（biomass burning, BB）排放的年际变率对总气溶胶光学厚度（aerosol optical depth, AOD）、一氧化碳（carbon monoxide, CO）以及臭氧（O₃）对流层柱浓度变率的影响。 研究采用仅包含大气模块的EC-Earth3配置（EC-Earth3-AerChem）[2]，开展了1997-2006年的后报模拟，共设置三类生物质燃烧排放情景： 1. 基准情景（base）：启用生物质燃烧排放 2. 均值情景（mean）：生物质燃烧排放具备季节变率但无年际变率 3. 零情景（zero）：生物质燃烧排放完全清零 本次后报模拟采用耦合模式比较计划第六阶段（Coupled Model Intercomparison Project Phase 6, CMIP6）历史模拟所用的生物质燃烧排放数据集（BB4CMIP6）[3]。 本研究在Notebook文件`02-Plot-AOD-CO-O3.ipynb`中验证表明，生物质燃烧排放的波动会在区域及全球尺度上影响AOD、CO与O₃的浓度变率。 本数据集包含所有情景下的以下输出变量： | 变量名 | 变量说明 | 单位 | | ---- | ---- | ---- | | areacella | 模式网格单元面积 | m² | | airmass | 模式分层气柱质量 | kg/m² | | co | 模式分层一氧化碳（CO）体积混合比 | mole/mole | | od550aer | 550 nm波长处气溶胶光学厚度（AOD） | 无量纲 | | od550bc | 550 nm波长处黑碳（BC）气溶胶光学厚度 | 无量纲 | | phalf | 模式半分层气压 | Pa | | ptp | 热力对流层顶气压 | Pa | | tropoz | 对流层臭氧柱浓度 | 多布森单位（Dobson Units, DU） | --- 参考文献 [1] Döscher, Ralf, Mario Acosta, Andrea Alessandri, et al. 《用于耦合模式比较计划第6阶段的EC-Earth3地球系统模型》. *Geoscientific Model Development* 15, no. 7 (2022): 2973–3020. DOI: 10.5194/gmd-15-2973-2022. [2] van Noije, Twan, Tommi Bergman, Philippe Le Sager, et al. 《EC-Earth3-AerChem：一款具备交互式气溶胶与大气化学功能的全球气候模式，参与CMIP6》. *Geoscientific Model Development* 14, no. 9 (2021): 5637–5668. DOI: 10.5194/gmd-14-5637-2021. [3] van Marle, Margreet J. E., Silvia Kloster, Brian I. Magi, et al. 《基于卫星观测与代理数据及火灾模型融合的CMIP6历史全球生物质燃烧排放数据集（1750–2015）》. *Geoscientific Model Development* 10, no. 9 (2017): 3329–3357. DOI: 10.5194/gmd-10-3329-2017.
