Replication Data Set for the study on 2020 ozone depletion
This data repository provides access to the model data of the study by Grooß and Müller submitted to JGR (2020). In this study, the unprecedented Arctic stratospheric ozone loss in the winter 2019/2020 is examined using simulations of the Chemical Lagrangian Model of the Stratosphere (CLaMS) and dat...
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Online Access: | https://dx.doi.org/10.26165/juelich-data/ket287 https://data.fz-juelich.de/citation?persistentId=doi:10.26165/JUELICH-DATA/KET287 |
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ftdatacite:10.26165/juelich-data/ket287 2023-05-15T14:58:25+02:00 Replication Data Set for the study on 2020 ozone depletion Grooß, Jens-Uwe 2021 https://dx.doi.org/10.26165/juelich-data/ket287 https://data.fz-juelich.de/citation?persistentId=doi:10.26165/JUELICH-DATA/KET287 unknown Jülich DATA Dataset dataset 2021 ftdatacite https://doi.org/10.26165/juelich-data/ket287 2022-04-01T15:57:11Z This data repository provides access to the model data of the study by Grooß and Müller submitted to JGR (2020). In this study, the unprecedented Arctic stratospheric ozone loss in the winter 2019/2020 is examined using simulations of the Chemical Lagrangian Model of the Stratosphere (CLaMS) and data from ACE-FTS, AURA-MLS and AURA-OMI. The data set contains model results for two simulations (REF, D25) described in the publication as well as the corresponding MLS satleeite data, evaluated in 3 dimensions, equivalent latitude, potential temperature and time Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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description |
This data repository provides access to the model data of the study by Grooß and Müller submitted to JGR (2020). In this study, the unprecedented Arctic stratospheric ozone loss in the winter 2019/2020 is examined using simulations of the Chemical Lagrangian Model of the Stratosphere (CLaMS) and data from ACE-FTS, AURA-MLS and AURA-OMI. The data set contains model results for two simulations (REF, D25) described in the publication as well as the corresponding MLS satleeite data, evaluated in 3 dimensions, equivalent latitude, potential temperature and time |
format |
Dataset |
author |
Grooß, Jens-Uwe |
spellingShingle |
Grooß, Jens-Uwe Replication Data Set for the study on 2020 ozone depletion |
author_facet |
Grooß, Jens-Uwe |
author_sort |
Grooß, Jens-Uwe |
title |
Replication Data Set for the study on 2020 ozone depletion |
title_short |
Replication Data Set for the study on 2020 ozone depletion |
title_full |
Replication Data Set for the study on 2020 ozone depletion |
title_fullStr |
Replication Data Set for the study on 2020 ozone depletion |
title_full_unstemmed |
Replication Data Set for the study on 2020 ozone depletion |
title_sort |
replication data set for the study on 2020 ozone depletion |
publisher |
Jülich DATA |
publishDate |
2021 |
url |
https://dx.doi.org/10.26165/juelich-data/ket287 https://data.fz-juelich.de/citation?persistentId=doi:10.26165/JUELICH-DATA/KET287 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_doi |
https://doi.org/10.26165/juelich-data/ket287 |
_version_ |
1766330524805103616 |