Deconstruction of tropospheric chemical reactivity using aircraftmeasurements: the Atmospheric Tomography Mission (ATom) data
文献类型：期刊论文
| 作者 | Prather, Michael J.1; Guo, Hao1,2; Zhu, Xin1 |
| 刊名 | EARTH SYSTEM SCIENCE DATA
 |
| 出版日期 | 2023-07-31 |
| 卷号 | 15期号:7页码:3299-3349 |
| ISSN号 | 1866-3508 |
| DOI | 10.5194/essd-15-3299-2023 |
| 英文摘要 | The NASA Atmospheric Tomography Mission (ATom) completed four seasonal deployments (August 2016, February 2017, October 2017, May 2018), each with regular 0.2-12 km profiling by transecting the remote Pacific Ocean and Atlantic Ocean basins. Additional data were also acquired for the Southern Ocean, the Arctic basin, and two flights over Antarctica. ATom in situ measurements provide a near-complete chemical characterization of the similar to 140 000 10 s (80m by 2 km) air parcels measured along the flight path. This paper presents the Modeling Data Stream (MDS), a continuous gap-filled record of the 10 s parcels containing the chemical species needed to initialize a gas-phase chemistry model for the budgets of tropospheric ozone and methane. Global 3D models have been used to calculate the Reactivity Data Stream (RDS), which is comprised of the chemical reactivities (production and loss) for methane, ozone, and carbon monoxide, through 24 h integration of the 10 s parcels. These parcels accurately sample tropospheric heterogeneity and allow us to partially deconstruct the spatial scales and variability that define tropospheric chemistry from composition to reactions. This paper provides a first look at and analysis of the up-to-date MDS and RDS data including all four deployments (Prather et al., 2023, https://doi.org/10.7280/D1B12H). ATom's regular profiling of the ocean basins allows for weighted averages to build probability densities for the key species and reactivities presented here. These statistics provide climatological metrics for global chemistry models, e.g., the large-scale pattern of ozone and methane loss in the lower troposphere and the more sporadic hotspots of ozone production in the upper troposphere. The profiling curtains of reactivity also identify meteorologically variable and hence deployment-specific hotspots of photochemical activity. Added calculations of the sensitivities of the production and loss terms relative to each species emphasize the few dominant species that control the ozone and methane budgets and whose statistical patterns should be key model-measurement metrics. From the sensitivities, we also derive linearized lifetimes of ozone and methane on a parcel-by-parcel basis and average over the basins, providing an observational basis for these previously model-only diagnostics. We had found that most model differences in the ozone and methane budgets are caused by the models calculating different climatologies for the key species such as O-3, CO, H2O, NOx, CH4, and T, and thus these ATom measurements make a substantial contribution to the understanding of model differences and even identifying model errors in global tropospheric chemistry. |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001040415600001 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/74604]  |
| 专题 | 有机地球化学国家重点实验室 |
| 通讯作者 | Prather, Michael J. |
| 作者单位 | 1.Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA 2.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China |
| 推荐引用方式 GB/T 7714 | Prather, Michael J.,Guo, Hao,Zhu, Xin. Deconstruction of tropospheric chemical reactivity using aircraftmeasurements: the Atmospheric Tomography Mission (ATom) data[J]. EARTH SYSTEM SCIENCE DATA,2023,15(7):3299-3349. |
| APA | Prather, Michael J.,Guo, Hao,&Zhu, Xin.(2023).Deconstruction of tropospheric chemical reactivity using aircraftmeasurements: the Atmospheric Tomography Mission (ATom) data.EARTH SYSTEM SCIENCE DATA,15(7),3299-3349. |
| MLA | Prather, Michael J.,et al."Deconstruction of tropospheric chemical reactivity using aircraftmeasurements: the Atmospheric Tomography Mission (ATom) data".EARTH SYSTEM SCIENCE DATA 15.7(2023):3299-3349. |
入库方式： OAI收割
来源：广州地球化学研究所
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