Supporting dataset for "Sensitivities of atmospheric ozone and radiative forcing to supersonic aircraft emissions across two flight corridors"

This dataset is a supporting dataset for "Sensitivities of ozone and radiative forcing to supersonic aircraft emissions across two flight corridors", containing all data necessary to reproduce the results of the publication.<br>In this experiment the atmospheric response to supersonic emissions is studied using the GEOS-Chem (v 13.3.1) atmospheric chemistry transport model by combining 26 variations of regional emission scenarios to derive first- and second- order sensitivities of the ozone column to emissions.<br>This archive contains the full repository of custom input data and monthly-averaged atmospheric histories underlying all results of the associated publication. For the sake of convenience the relevant data is grouped in the following manner:<br>Emission inventories (EMISSION_INVENTORIES): The containing the emission inventories which were used to run the scenarios gridded for use with GEOS-Chem.Atmospheric histories (TAC... / SAS...): Zip files starting with TAC or SAS contain 10 years of monthly-averaged atmospheric concentrations from the GEOS-Chem model output for the associated emissions scenario. Scenarios are named following the emissions region (TAC/ SAS | TransAtlantic Corridor / South Arabian Sea), the central emissions altitude (e.g. 162 is 16.2 km), and optionally suffixes describing increases in emission species (e.g. SAS204_NOSO is a scenario with emissions above the south arabian sea at 20.4 km altitude, with increased emission indices for NOx and SOx). The BASELINE file contains atmospheric histories for the baseline atmosphere, which is unperturbed by emissions. For detailed descriptions of the emission scenarios see the associated publication.Tropomi comparison data (TROPOMI): Data from the TROPOMI instrument from 2020 reprocessed to the GEOS-Chem grid, alongside monthly-averaged atmospheric histories for the 2020 atmosphere reproduction with the GEOS-Chem model.Radiative forcing evaluations from the Rapid Radiative Transfer Model for Global cirulation models (RRTMG). Within the RRTMG.zip files are subdirectories for all 27 scenarios with radiative forcing assessments. For the related work, the AllSky assessments were used at tropopause level.<br>

本数据集是论文《跨两条飞行走廊的超音速飞机排放对臭氧与辐射强迫的敏感性》的配套数据集，包含复现该发表成果所需的全部数据。
本实验借助GEOS-Chem（v13.3.1）大气化学传输模型，通过组合26种区域排放情景变体，推导臭氧柱浓度对排放的一阶与二阶敏感性，以此研究超音速排放对大气的影响。
本归档包含支撑该发表论文所有结果的自定义输入数据与月均大气历史数据的完整仓库。为便于使用，相关数据按以下方式分组：
排放清单（EMISSION_INVENTORIES）：本分组包含用于生成适配GEOS-Chem的网格化运行情景的排放清单。
大气历史数据（TAC... / SAS...）：以TAC或SAS开头的压缩文件，包含对应排放情景下GEOS-Chem模型输出的10年月均大气浓度数据。情景命名规则如下：以排放区域（TAC/SAS，即跨大西洋航线/南阿拉伯海）、核心排放高度（如162代表16.2千米）命名，可选后缀用于描述排放物种的增量（例如SAS204_NOSO代表南阿拉伯海上空20.4千米高度处的情景，且提升了氮氧化物（NOx）与硫氧化物（SOx）的排放指数）。BASELINE文件包含未受排放扰动的基准大气的历史数据。关于排放情景的详细说明，请参阅相关发表论文。
Tropomi对比数据（TROPOMI）：包含2020年TROPOMI仪器的重处理数据（已适配GEOS-Chem网格），以及2020年大气复现实验的GEOS-Chem模型输出月均大气历史数据。
辐射强迫评估数据来自全球环流模型快速辐射传输模型（Rapid Radiative Transfer Model for Global Circulation Models, RRTMG）。RRTMG.zip压缩文件内包含对应全部27个情景的辐射强迫评估子目录。在相关研究中，本研究采用了对流层顶高度处的全天空（AllSky）评估结果。