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Verlagsausgabe
DOI: 10.5445/IR/1000086297
Veröffentlicht am 06.11.2018
Originalveröffentlichung
DOI: 10.5194/gmd-11-4043-2018

ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations [in press]

Schröter, Jennifer; Rieger, Daniel; Stassen, Christian; Vogel, Heike; Weimer, Michael; Werchner, Sven; Förstner, Jochen; Prill, Florian; Reinert, Daniel; Zängl, Günther; Giorgetta, Marco; Ruhnke, Roland; Vogel, Bernhard; Braesicke, Peter

Abstract:
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 AMIPtype integrations using a simplified chemistry scheme in conjunction with the climate physics configuration. We use ... mehr


Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Meteorologie und Klimaforschung - Forschungsbereich Troposphäre (IMK-TRO)
Steinbuch Centre for Computing (SCC)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1991-9603
URN: urn:nbn:de:swb:90-862976
KITopen ID: 1000086297
HGF-Programm 12.04.03; LK 01
Erschienen in Geoscientific model development
Band 11
Heft 10
Seiten 4043–4068
Vorab online veröffentlicht am 05.10.2018
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