Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations
Four simulations with the ECHAM/MESSy Atmospheric Chemistry (EMAC) model have been evaluated with the Earth System Model Validation Tool (ESMValTool) to identify differences in simulated ozone and selected climate parameters that resulted from (i) different setups of the EMAC model (nudged vs. free-...
Published in: | Geoscientific Model Development |
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Main Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2015
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Subjects: | |
Online Access: | https://elib.dlr.de/95715/ http://www.geosci-model-dev.net/8/733/2015/gmd-8-733-2015.html |
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author | Righi, Mattia Eyring, Veronika Gottschaldt, Klaus-Dirk Klinger, Carolin Frank, Franziska Jöckel, Patrick Cionni, Irene |
author_facet | Righi, Mattia Eyring, Veronika Gottschaldt, Klaus-Dirk Klinger, Carolin Frank, Franziska Jöckel, Patrick Cionni, Irene |
author_sort | Righi, Mattia |
collection | Unknown |
container_issue | 3 |
container_start_page | 733 |
container_title | Geoscientific Model Development |
container_volume | 8 |
description | Four simulations with the ECHAM/MESSy Atmospheric Chemistry (EMAC) model have been evaluated with the Earth System Model Validation Tool (ESMValTool) to identify differences in simulated ozone and selected climate parameters that resulted from (i) different setups of the EMAC model (nudged vs. free-running) and (ii) different boundary conditions (emissions, sea surface temperatures (SSTs) and sea-ice concentrations (SICs)). To assess the relative performance of the simulations, quantitative performance metrics are calculated consistently for the climate parameters and ozone. This is important for the interpretation of the evaluation results since biases in climate can impact on biases in chemistry and vice versa. The observational datasets used for the evaluation include ozonesonde and aircraft data, meteorological reanalyses and satellite measurements. The results from a previous EMAC evaluation of a model simulation with weak nudging towards realistic meteorology in the troposphere have been compared to new simulations with different model setups and updated emission datasets in free-running timeslice and nudged Quasi Chemistry-Transport Model (QCTM) mode. The latter two configurations are particularly important for chemistry-climate projections and for the quantification of individual sources (e.g. transport sector) that lead to small chemical perturbations of the climate system, respectively. With the exception of some specific features which are detailed in this study, no large differences that could be related to the different setups of the EMAC simulations (nudged vs. free-running) were found, which offers the possibility to evaluate and improve the overall model with the help of shorter nudged simulations. The main differences between the two setups is a better representation of the tropospheric and stratospheric temperature in the nudged simulations, which also better reproduce stratospheric water vapour concentrations, due to the improved simulation of the temperature in the tropical tropopause layer. ... |
format | Article in Journal/Newspaper |
genre | Sea ice |
genre_facet | Sea ice |
id | ftdlr:oai:elib.dlr.de:95715 |
institution | Open Polar |
language | English |
op_collection_id | ftdlr |
op_container_end_page | 768 |
op_doi | https://doi.org/10.5194/gmd-8-733-2015 |
op_relation | https://elib.dlr.de/95715/1/gmd-8-733-2015.pdf Righi, Mattia und Eyring, Veronika und Gottschaldt, Klaus-Dirk und Klinger, Carolin und Frank, Franziska und Jöckel, Patrick und Cionni, Irene (2015) Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations. Geoscientific Model Development, 8 (3), Seiten 733-768. Copernicus Publications. doi:10.5194/gmd-8-733-2015 <https://doi.org/10.5194/gmd-8-733-2015>. ISSN 1991-959X. |
publishDate | 2015 |
publisher | Copernicus Publications |
record_format | openpolar |
spelling | ftdlr:oai:elib.dlr.de:95715 2025-06-15T14:49:00+00:00 Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations Righi, Mattia Eyring, Veronika Gottschaldt, Klaus-Dirk Klinger, Carolin Frank, Franziska Jöckel, Patrick Cionni, Irene 2015-03-03 application/pdf https://elib.dlr.de/95715/ http://www.geosci-model-dev.net/8/733/2015/gmd-8-733-2015.html en eng Copernicus Publications https://elib.dlr.de/95715/1/gmd-8-733-2015.pdf Righi, Mattia und Eyring, Veronika und Gottschaldt, Klaus-Dirk und Klinger, Carolin und Frank, Franziska und Jöckel, Patrick und Cionni, Irene (2015) Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations. Geoscientific Model Development, 8 (3), Seiten 733-768. Copernicus Publications. doi:10.5194/gmd-8-733-2015 <https://doi.org/10.5194/gmd-8-733-2015>. ISSN 1991-959X. Erdsystem-Modellierung Zeitschriftenbeitrag PeerReviewed 2015 ftdlr https://doi.org/10.5194/gmd-8-733-2015 2025-06-04T04:58:09Z Four simulations with the ECHAM/MESSy Atmospheric Chemistry (EMAC) model have been evaluated with the Earth System Model Validation Tool (ESMValTool) to identify differences in simulated ozone and selected climate parameters that resulted from (i) different setups of the EMAC model (nudged vs. free-running) and (ii) different boundary conditions (emissions, sea surface temperatures (SSTs) and sea-ice concentrations (SICs)). To assess the relative performance of the simulations, quantitative performance metrics are calculated consistently for the climate parameters and ozone. This is important for the interpretation of the evaluation results since biases in climate can impact on biases in chemistry and vice versa. The observational datasets used for the evaluation include ozonesonde and aircraft data, meteorological reanalyses and satellite measurements. The results from a previous EMAC evaluation of a model simulation with weak nudging towards realistic meteorology in the troposphere have been compared to new simulations with different model setups and updated emission datasets in free-running timeslice and nudged Quasi Chemistry-Transport Model (QCTM) mode. The latter two configurations are particularly important for chemistry-climate projections and for the quantification of individual sources (e.g. transport sector) that lead to small chemical perturbations of the climate system, respectively. With the exception of some specific features which are detailed in this study, no large differences that could be related to the different setups of the EMAC simulations (nudged vs. free-running) were found, which offers the possibility to evaluate and improve the overall model with the help of shorter nudged simulations. The main differences between the two setups is a better representation of the tropospheric and stratospheric temperature in the nudged simulations, which also better reproduce stratospheric water vapour concentrations, due to the improved simulation of the temperature in the tropical tropopause layer. ... Article in Journal/Newspaper Sea ice Unknown Geoscientific Model Development 8 3 733 768 |
spellingShingle | Erdsystem-Modellierung Righi, Mattia Eyring, Veronika Gottschaldt, Klaus-Dirk Klinger, Carolin Frank, Franziska Jöckel, Patrick Cionni, Irene Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations |
title | Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations |
title_full | Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations |
title_fullStr | Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations |
title_full_unstemmed | Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations |
title_short | Quantitative evaluation of ozone and selected climate parameters in a set of EMAC simulations |
title_sort | quantitative evaluation of ozone and selected climate parameters in a set of emac simulations |
topic | Erdsystem-Modellierung |
topic_facet | Erdsystem-Modellierung |
url | https://elib.dlr.de/95715/ http://www.geosci-model-dev.net/8/733/2015/gmd-8-733-2015.html |