Articles | Volume 18, issue 12
https://doi.org/10.5194/acp-18-8873-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-8873-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jun 2018
Research article |
| 25 Jun 2018
| 25 Jun 2018
Comparison of ECHAM5/MESSy Atmospheric Chemistry (EMAC) simulations of the Arctic winter 2009/2010 and 2010/2011 with Envisat/MIPAS and Aura/MLS observations
Farahnaz Khosrawi
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Oliver Kirner
Steinbuch Centre for Computing, Karlsruhe Institute of Technology, Karlsruhe, Germany
Gabriele Stiller
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Michael Höpfner
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Michelle L. Santee
Jet Propulsion Laboratory, California Institute of Technology, California, USA
Sylvia Kellmann
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Peter Braesicke
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
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Cited
14 citations as recorded by crossref.
- Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds R. Sedona et al. 10.5194/amt-13-3661-2020
- A perspective on the development of gas-phase chemical mechanisms for Eulerian air quality models W. Stockwell et al. 10.1080/10962247.2019.1694605
- Impact of the eruption of Mt Pinatubo on the chemical composition of the stratosphere M. Kilian et al. 10.5194/acp-20-11697-2020
- Polar Stratospheric Clouds: Satellite Observations, Processes, and Role in Ozone Depletion I. Tritscher et al. 10.1029/2020RG000702
- Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon J. Ma et al. 10.5194/acp-19-11587-2019
- The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles M. Höpfner et al. 10.5194/amt-11-5901-2018
- Challenge of modelling GLORIA observations of upper troposphere–lowermost stratosphere trace gas and cloud distributions at high latitudes: a case study with state-of-the-art models F. Haenel et al. 10.5194/acp-22-2843-2022
- Mountain-wave-induced polar stratospheric clouds and their representation in the global chemistry model ICON-ART M. Weimer et al. 10.5194/acp-21-9515-2021
- Lagrangian simulation of ice particles and resulting dehydration in the polar winter stratosphere I. Tritscher et al. 10.5194/acp-19-543-2019
- Evaluation of polar stratospheric clouds in the global chemistry–climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements M. Steiner et al. 10.5194/gmd-14-935-2021
- Linking uncertainty in simulated Arctic ozone loss to uncertainties in modelled tropical stratospheric water vapour L. Thölix et al. 10.5194/acp-18-15047-2018
- Unusual chlorine partitioning in the 2015/16 Arctic winter lowermost stratosphere: observations and simulations S. Johansson et al. 10.5194/acp-19-8311-2019
- Observational and model evidence for a prominent stratospheric influence on variability in tropospheric nitrous oxide C. Nevison et al. 10.5194/acp-24-10513-2024
- Comparison of Antarctic polar stratospheric cloud observations by ground-based and space-borne lidar and relevance for chemistry–climate models M. Snels et al. 10.5194/acp-19-955-2019
14 citations as recorded by crossref.
- Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds R. Sedona et al. 10.5194/amt-13-3661-2020
- A perspective on the development of gas-phase chemical mechanisms for Eulerian air quality models W. Stockwell et al. 10.1080/10962247.2019.1694605
- Impact of the eruption of Mt Pinatubo on the chemical composition of the stratosphere M. Kilian et al. 10.5194/acp-20-11697-2020
- Polar Stratospheric Clouds: Satellite Observations, Processes, and Role in Ozone Depletion I. Tritscher et al. 10.1029/2020RG000702
- Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon J. Ma et al. 10.5194/acp-19-11587-2019
- The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles M. Höpfner et al. 10.5194/amt-11-5901-2018
- Challenge of modelling GLORIA observations of upper troposphere–lowermost stratosphere trace gas and cloud distributions at high latitudes: a case study with state-of-the-art models F. Haenel et al. 10.5194/acp-22-2843-2022
- Mountain-wave-induced polar stratospheric clouds and their representation in the global chemistry model ICON-ART M. Weimer et al. 10.5194/acp-21-9515-2021
- Lagrangian simulation of ice particles and resulting dehydration in the polar winter stratosphere I. Tritscher et al. 10.5194/acp-19-543-2019
- Evaluation of polar stratospheric clouds in the global chemistry–climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements M. Steiner et al. 10.5194/gmd-14-935-2021
- Linking uncertainty in simulated Arctic ozone loss to uncertainties in modelled tropical stratospheric water vapour L. Thölix et al. 10.5194/acp-18-15047-2018
- Unusual chlorine partitioning in the 2015/16 Arctic winter lowermost stratosphere: observations and simulations S. Johansson et al. 10.5194/acp-19-8311-2019
- Observational and model evidence for a prominent stratospheric influence on variability in tropospheric nitrous oxide C. Nevison et al. 10.5194/acp-24-10513-2024
- Comparison of Antarctic polar stratospheric cloud observations by ground-based and space-borne lidar and relevance for chemistry–climate models M. Snels et al. 10.5194/acp-19-955-2019
Latest update: 20 Nov 2024
Short summary
An extensive assessment of the performance of the chemistry–climate model EMAC is given for Arctic winters 2009/2010 and 2010/2011. The EMAC simulations are compared to satellite observations. The comparisons between EMAC simulations and satellite observations show that model and measurements compare well for these two Arctic winters. However, differences between model and observations are found that need improvements in the model in the future.
An extensive assessment of the performance of the chemistry–climate model EMAC is given for...
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