dc.contributor.author | Agarwal, Akshat | |
dc.contributor.author | Meijer, Vincent R | |
dc.contributor.author | Eastham, Sebastian D | |
dc.contributor.author | Speth, Raymond L | |
dc.contributor.author | Barrett, Steven RH | |
dc.date.accessioned | 2022-09-07T15:39:00Z | |
dc.date.available | 2022-09-07T15:39:00Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/145280 | |
dc.description.abstract | <jats:title>Abstract</jats:title>
<jats:p>Model-based estimates of aviation’s climate impacts have found that contrails contribute 36%–81% of aviation’s instantaneous radiative forcing. These estimates depend on the accuracy of meteorological data provided by reanalyses like ECMWF Reanalysis 5th Generation (ERA5) and Modern Era Retrospective analysis for Research and Applications V2 (MERRA-2). Using data from 793 044 radiosondes, we find persistent contrails forming at cruise altitudes in 30° N–60° S are overestimated by factors of 2.0 and 3.5 for ERA5 and MERRA-2, respectively. Seasonal and inter-annual trends are well-reproduced by both models (R<jats:sup>2</jats:sup> = 0.79 and 0.74). We also find a contrail lifetime metric is overestimated by 17% in ERA5 and 45% in MERRA-2. Finally, the reanalyses incorrectly identify individual regions that could form persistent contrails 87% and 52% of the time, respectively. These results suggest that contrail models currently overestimate the number and lifetime of persistent contrails. Additional observations are needed for future models in order to provide locally accurate estimates of contrails or to support mitigation strategies.</jats:p> | en_US |
dc.language.iso | en | |
dc.publisher | IOP Publishing | en_US |
dc.relation.isversionof | 10.1088/1748-9326/AC38D9 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | IOP Publishing | en_US |
dc.title | Reanalysis-driven simulations may overestimate persistent contrail formation by 100%–250% | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Agarwal, Akshat, Meijer, Vincent R, Eastham, Sebastian D, Speth, Raymond L and Barrett, Steven RH. 2022. "Reanalysis-driven simulations may overestimate persistent contrail formation by 100%–250%." Environmental Research Letters, 17 (1). | |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Aviation and the Environment | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | |
dc.contributor.department | Massachusetts Institute of Technology. Joint Program on the Science & Policy of Global Change | |
dc.relation.journal | Environmental Research Letters | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2022-09-07T15:33:46Z | |
dspace.orderedauthors | Agarwal, A; Meijer, VR; Eastham, SD; Speth, RL; Barrett, SRH | en_US |
dspace.date.submission | 2022-09-07T15:33:47Z | |
mit.journal.volume | 17 | en_US |
mit.journal.issue | 1 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |