Temporal and spatial variability in the aviation NO[subscript x]-related O[subscript 3] impact
Aviation NO[subscript x] emissions promote tropospheric ozone formation, which is linked to climate warming and adverse health effects. Modeling studies have quantified the relative impact of aviation NO[subscript x] on O[subscript 3] in large geographic regions. As these studies have applied forwar...
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| Format: | Article |
| Language: | en_US |
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IOP Publishing
2013
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| Online Access: | http://hdl.handle.net/1721.1/81430 https://orcid.org/0000-0003-4988-5754 https://orcid.org/0000-0001-9669-2563 https://orcid.org/0000-0002-4642-9545 |
| _version_ | 1826191981445906432 |
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| author | Koo, Jamin Wang, Qiqi Gilmore, Christopher Kenneth Barrett, Steven R. H. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Koo, Jamin Wang, Qiqi Gilmore, Christopher Kenneth Barrett, Steven R. H. |
| author_sort | Koo, Jamin |
| collection | MIT |
| description | Aviation NO[subscript x] emissions promote tropospheric ozone formation, which is linked to climate warming and adverse health effects. Modeling studies have quantified the relative impact of aviation NO[subscript x] on O[subscript 3] in large geographic regions. As these studies have applied forward modeling techniques, it has not been possible to attribute O[subscript 3] formation to individual flights. Here we apply the adjoint of the global chemistry–transport model GEOS-Chem to assess the temporal and spatial variability in O[subscript 3] production due to aviation NO[subscript x] emissions, which is the first application of an adjoint to this problem. We find that total aviation NO[subscript x] emitted in October causes 40% more O[subscript 3] than in April and that Pacific aviation emissions could cause 4–5 times more tropospheric O[subscript 3] per unit NO[subscript x] than European or North American emissions. Using this sensitivity approach, the O[subscript 3] burden attributable to 83 000 unique scheduled civil flights is computed individually. We find that the ten highest total O[subscript 3]-producing flights have origins or destinations in New Zealand or Australia. The top ranked O[subscript 3]-producing flights normalized by fuel burn cause 157 times more normalized O[subscript 3] formation than the bottom ranked ones. These results show significant spatial and temporal heterogeneity in environmental impacts of aviation NO[subscript x] emissions. |
| first_indexed | 2024-09-23T09:04:21Z |
| format | Article |
| id | mit-1721.1/81430 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:04:21Z |
| publishDate | 2013 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | mit-1721.1/814302022-09-26T10:13:54Z Temporal and spatial variability in the aviation NO[subscript x]-related O[subscript 3] impact Koo, Jamin Wang, Qiqi Gilmore, Christopher Kenneth Barrett, Steven R. H. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Gilmore, Christopher Kenneth Barrett, Steven R. H. Koo, Jamin Wang, Qiqi Aviation NO[subscript x] emissions promote tropospheric ozone formation, which is linked to climate warming and adverse health effects. Modeling studies have quantified the relative impact of aviation NO[subscript x] on O[subscript 3] in large geographic regions. As these studies have applied forward modeling techniques, it has not been possible to attribute O[subscript 3] formation to individual flights. Here we apply the adjoint of the global chemistry–transport model GEOS-Chem to assess the temporal and spatial variability in O[subscript 3] production due to aviation NO[subscript x] emissions, which is the first application of an adjoint to this problem. We find that total aviation NO[subscript x] emitted in October causes 40% more O[subscript 3] than in April and that Pacific aviation emissions could cause 4–5 times more tropospheric O[subscript 3] per unit NO[subscript x] than European or North American emissions. Using this sensitivity approach, the O[subscript 3] burden attributable to 83 000 unique scheduled civil flights is computed individually. We find that the ten highest total O[subscript 3]-producing flights have origins or destinations in New Zealand or Australia. The top ranked O[subscript 3]-producing flights normalized by fuel burn cause 157 times more normalized O[subscript 3] formation than the bottom ranked ones. These results show significant spatial and temporal heterogeneity in environmental impacts of aviation NO[subscript x] emissions. United States. Federal Aviation Administration 2013-10-18T15:56:49Z 2013-10-18T15:56:49Z 2013-09 2013-05 Article http://purl.org/eprint/type/JournalArticle 1748-9326 http://hdl.handle.net/1721.1/81430 Gilmore, Christopher K, Steven R H Barrett, Jamin Koo, and Qiqi Wang. “Temporal and spatial variability in the aviation NOx-related O3 impact.” Environmental Research Letters 8, no. 3 (September 1, 2013): 034027. https://orcid.org/0000-0003-4988-5754 https://orcid.org/0000-0001-9669-2563 https://orcid.org/0000-0002-4642-9545 en_US http://dx.doi.org/10.1088/1748-9326/8/3/034027 Environmental Research Letters http://creativecommons.org/licenses/by/3.0/ application/pdf IOP Publishing IOP Publishing |
| spellingShingle | Koo, Jamin Wang, Qiqi Gilmore, Christopher Kenneth Barrett, Steven R. H. Temporal and spatial variability in the aviation NO[subscript x]-related O[subscript 3] impact |
| title | Temporal and spatial variability in the aviation NO[subscript x]-related O[subscript 3] impact |
| title_full | Temporal and spatial variability in the aviation NO[subscript x]-related O[subscript 3] impact |
| title_fullStr | Temporal and spatial variability in the aviation NO[subscript x]-related O[subscript 3] impact |
| title_full_unstemmed | Temporal and spatial variability in the aviation NO[subscript x]-related O[subscript 3] impact |
| title_short | Temporal and spatial variability in the aviation NO[subscript x]-related O[subscript 3] impact |
| title_sort | temporal and spatial variability in the aviation no subscript x related o subscript 3 impact |
| url | http://hdl.handle.net/1721.1/81430 https://orcid.org/0000-0003-4988-5754 https://orcid.org/0000-0001-9669-2563 https://orcid.org/0000-0002-4642-9545 |
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