Arctic ozone depletion in 2019/20: Roles of chemistry, dynamics and the Montreal Protocol ...
We use a three-dimensional chemical transport model and satellite observations to investigate Arctic ozone depletion in winter/spring 2019/20 and compare with earlier years. Persistently, low temperatures caused extensive chlorine activation through to March. March-mean polar-cap-mean modeled chemic...
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ftdatacite:10.48577/jpl.qlrmhk 2023-11-05T03:39:10+01:00 Arctic ozone depletion in 2019/20: Roles of chemistry, dynamics and the Montreal Protocol ... Santee, Michelle 2023 https://dx.doi.org/10.48577/jpl.qlrmhk https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.QLRMHK unknown Root Dataset dataset 2023 ftdatacite https://doi.org/10.48577/jpl.qlrmhk 2023-10-09T10:57:04Z We use a three-dimensional chemical transport model and satellite observations to investigate Arctic ozone depletion in winter/spring 2019/20 and compare with earlier years. Persistently, low temperatures caused extensive chlorine activation through to March. March-mean polar-cap-mean modeled chemical column ozone loss reached 78 DU (local maximum loss of ∼108 DU in the vortex), similar to that in 2011. However, weak dynamical replenishment of only 59 DU from December to March was key to producing very low (<220 DU) column ozone values. The only other winter to exhibit such weak transport in the past 20 years was 2010/11, so this process is fundamental to causing such low ozone values. A model simulation with peak observed stratospheric total chlorine and bromine loading (from the mid-1990s) shows that gradual recovery of the ozone layer over the past 2 decades ameliorated the polar cap ozone depletion in March 2020 by ∼20 DU. ... Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
description |
We use a three-dimensional chemical transport model and satellite observations to investigate Arctic ozone depletion in winter/spring 2019/20 and compare with earlier years. Persistently, low temperatures caused extensive chlorine activation through to March. March-mean polar-cap-mean modeled chemical column ozone loss reached 78 DU (local maximum loss of ∼108 DU in the vortex), similar to that in 2011. However, weak dynamical replenishment of only 59 DU from December to March was key to producing very low (<220 DU) column ozone values. The only other winter to exhibit such weak transport in the past 20 years was 2010/11, so this process is fundamental to causing such low ozone values. A model simulation with peak observed stratospheric total chlorine and bromine loading (from the mid-1990s) shows that gradual recovery of the ozone layer over the past 2 decades ameliorated the polar cap ozone depletion in March 2020 by ∼20 DU. ... |
format |
Dataset |
author |
Santee, Michelle |
spellingShingle |
Santee, Michelle Arctic ozone depletion in 2019/20: Roles of chemistry, dynamics and the Montreal Protocol ... |
author_facet |
Santee, Michelle |
author_sort |
Santee, Michelle |
title |
Arctic ozone depletion in 2019/20: Roles of chemistry, dynamics and the Montreal Protocol ... |
title_short |
Arctic ozone depletion in 2019/20: Roles of chemistry, dynamics and the Montreal Protocol ... |
title_full |
Arctic ozone depletion in 2019/20: Roles of chemistry, dynamics and the Montreal Protocol ... |
title_fullStr |
Arctic ozone depletion in 2019/20: Roles of chemistry, dynamics and the Montreal Protocol ... |
title_full_unstemmed |
Arctic ozone depletion in 2019/20: Roles of chemistry, dynamics and the Montreal Protocol ... |
title_sort |
arctic ozone depletion in 2019/20: roles of chemistry, dynamics and the montreal protocol ... |
publisher |
Root |
publishDate |
2023 |
url |
https://dx.doi.org/10.48577/jpl.qlrmhk https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.QLRMHK |
genre |
Arctic |
genre_facet |
Arctic |
op_doi |
https://doi.org/10.48577/jpl.qlrmhk |
_version_ |
1781694970292338688 |