Supporting dataset for "Sensitivities of 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" (DOI:10.1029/2023JD040476), 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. The 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>

本数据集为《跨两条飞行走廊的臭氧与辐射强迫对超音速航空器排放的敏感性》（DOI:10.1029/2023JD040476）的配套数据集，包含复现该论文研究成果所需的全部数据。<br>本实验借助GEOS-Chem（v13.3.1）大气化学传输模型，通过组合26种区域排放情景的变体，推导臭氧柱总量对排放的一阶与二阶敏感性，以此研究大气对超音速排放的响应。<br>本归档包含支撑该论文全部结果的定制化输入数据与月均大气历史数据全集，数据按以下类别分组：<br>排放清单（EMISSION_INVENTORIES）：该目录收录用于运行GEOS-Chem的网格化情景排放清单。<br>大气历史数据（TAC.../SAS...）：以TAC或SAS开头的压缩包，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，即跨大西洋走廊/阿拉伯海南部海域）、排放中心高度（如162代表16.2公里）命名，可选后缀用于描述排放物种的增量（例如SAS204_NOSO代表阿拉伯海南部海域上空20.4公里高度处的情景，且NOx与SOx排放指数提升）。BASELINE文件包含未受排放扰动的基准大气的历史数据。排放情景的详细说明请参见配套论文。<br>TROPOMI对比数据（TROPOMI）：包含2020年TROPOMI仪器的经GEOS-Chem网格重处理的数据，以及2020年大气场景经GEOS-Chem模型复现的月均大气历史数据。<br>快速辐射传输全球环流模型（RRTMG）辐射强迫评估结果：RRTMG.zip压缩包内包含全部27个辐射强迫评估情景的子目录。本研究采用了对流层顶处的全天空（AllSky）评估结果。