ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations
<p>Atmospheric composition studies on weather and climate timescales require flexible, scalable models. The ICOsahedral Nonhydrostatic model with Aerosols and Reactive Trace gases (ICON-ART) provides such an environment. Here, we introduce the most up-to-date version of the flexible tracer...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2018-10-01
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Series: | Geoscientific Model Development |
Online Access: | https://www.geosci-model-dev.net/11/4043/2018/gmd-11-4043-2018.pdf |
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author | J. Schröter D. Rieger D. Rieger C. Stassen C. Stassen H. Vogel M. Weimer S. Werchner J. Förstner F. Prill D. Reinert G. Zängl M. Giorgetta R. Ruhnke B. Vogel P. Braesicke |
author_facet | J. Schröter D. Rieger D. Rieger C. Stassen C. Stassen H. Vogel M. Weimer S. Werchner J. Förstner F. Prill D. Reinert G. Zängl M. Giorgetta R. Ruhnke B. Vogel P. Braesicke |
author_sort | J. Schröter |
collection | DOAJ |
description | <p>Atmospheric composition studies on weather and climate timescales require
flexible, scalable models. The ICOsahedral Nonhydrostatic model with Aerosols
and Reactive Trace gases (ICON-ART) provides such an environment. Here, we
introduce the most up-to-date version of the flexible tracer framework for
ICON-ART and explain its application in one numerical weather forecast and
one climate related case study. We demonstrate the implementation of
idealised tracers and chemistry tendencies of different complexity using the
ART infrastructure. Using different ICON physics configurations for weather
and climate with ART, we perform integrations on different timescales,
illustrating the model's performance. First, we present a hindcast
experiment for the 2002 ozone hole split with two different ozone chemistry
schemes using the numerical weather prediction physics configuration. We
compare the hindcast with observations and discuss the confinement of the
vortex split using an idealised tracer diagnostic. Secondly, we study
AMIP-type integrations using a simplified chemistry scheme in conjunction with the
climate physics configuration. We use two different simulations: the
interactive simulation, where modelled ozone is coupled back to the radiation
scheme, and the non-interactive simulation that uses a default background
climatology of ozone. Additionally, we introduce changes of water vapour by
methane oxidation for the interactive simulation. We discuss the impact of
stratospheric ozone and water vapour variations in the interactive and
non-interactive integrations on the water vapour tape recorder, as a measure
of tropical upwelling changes. Additionally we explain the seasonal evolution
and latitudinal distribution of the age of air. The age of air is a measure
of the strength of the meridional overturning circulation with young air in
the tropical upwelling region and older air in polar winter downwelling
regions. We conclude that our flexible tracer framework allows for
tailor-made configurations of ICON-ART in weather and climate applications
that are easy to configure and run well.</p> |
first_indexed | 2024-04-14T02:30:51Z |
format | Article |
id | doaj.art-42b1a9e968cd4411895b96e5a5c0f4f6 |
institution | Directory Open Access Journal |
issn | 1991-959X 1991-9603 |
language | English |
last_indexed | 2024-04-14T02:30:51Z |
publishDate | 2018-10-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Geoscientific Model Development |
spelling | doaj.art-42b1a9e968cd4411895b96e5a5c0f4f62022-12-22T02:17:40ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032018-10-01114043406810.5194/gmd-11-4043-2018ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulationsJ. Schröter0D. Rieger1D. Rieger2C. Stassen3C. Stassen4H. Vogel5M. Weimer6S. Werchner7J. Förstner8F. Prill9D. Reinert10G. Zängl11M. Giorgetta12R. Ruhnke13B. Vogel14P. Braesicke15Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, GermanyDeutscher Wetterdienst, Offenbach, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germanynow at: ARC Centre of Excellence for Climate System Science, School of Earth Atmosphere and Environment, Monash University, Melbourne, AustraliaInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, GermanySteinbuch Centre for Computing, Karlsruhe Institute of Technology, Karlsruhe, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, GermanyDeutscher Wetterdienst, Offenbach, GermanyDeutscher Wetterdienst, Offenbach, GermanyDeutscher Wetterdienst, Offenbach, GermanyDeutscher Wetterdienst, Offenbach, GermanyMax Planck Institute for Meteorology, Hamburg, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany<p>Atmospheric composition studies on weather and climate timescales require flexible, scalable models. The ICOsahedral Nonhydrostatic model with Aerosols and Reactive Trace gases (ICON-ART) provides such an environment. Here, we introduce the most up-to-date version of the flexible tracer framework for ICON-ART and explain its application in one numerical weather forecast and one climate related case study. We demonstrate the implementation of idealised tracers and chemistry tendencies of different complexity using the ART infrastructure. Using different ICON physics configurations for weather and climate with ART, we perform integrations on different timescales, illustrating the model's performance. First, we present a hindcast experiment for the 2002 ozone hole split with two different ozone chemistry schemes using the numerical weather prediction physics configuration. We compare the hindcast with observations and discuss the confinement of the vortex split using an idealised tracer diagnostic. Secondly, we study AMIP-type integrations using a simplified chemistry scheme in conjunction with the climate physics configuration. We use two different simulations: the interactive simulation, where modelled ozone is coupled back to the radiation scheme, and the non-interactive simulation that uses a default background climatology of ozone. Additionally, we introduce changes of water vapour by methane oxidation for the interactive simulation. We discuss the impact of stratospheric ozone and water vapour variations in the interactive and non-interactive integrations on the water vapour tape recorder, as a measure of tropical upwelling changes. Additionally we explain the seasonal evolution and latitudinal distribution of the age of air. The age of air is a measure of the strength of the meridional overturning circulation with young air in the tropical upwelling region and older air in polar winter downwelling regions. We conclude that our flexible tracer framework allows for tailor-made configurations of ICON-ART in weather and climate applications that are easy to configure and run well.</p>https://www.geosci-model-dev.net/11/4043/2018/gmd-11-4043-2018.pdf |
spellingShingle | J. Schröter D. Rieger D. Rieger C. Stassen C. Stassen H. Vogel M. Weimer S. Werchner J. Förstner F. Prill D. Reinert G. Zängl M. Giorgetta R. Ruhnke B. Vogel P. Braesicke ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations Geoscientific Model Development |
title | ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations |
title_full | ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations |
title_fullStr | ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations |
title_full_unstemmed | ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations |
title_short | ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations |
title_sort | icon art 2 1 a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations |
url | https://www.geosci-model-dev.net/11/4043/2018/gmd-11-4043-2018.pdf |
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