001     845584
005     20240712101046.0
024 7 _ |a 10.5194/gmd-11-1695-2018
|2 doi
024 7 _ |a 1991-959X
|2 ISSN
024 7 _ |a 1991-9603
|2 ISSN
024 7 _ |a 2128/18438
|2 Handle
024 7 _ |a WOS:000431411600001
|2 WOS
024 7 _ |a altmetric:42059446
|2 altmetric
037 _ _ |a FZJ-2018-02809
041 _ _ |a English
082 _ _ |a 910
100 1 _ |a Schultz, Martin G.
|0 P:(DE-Juel1)6952
|b 0
|e Corresponding author
245 _ _ |a The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0
260 _ _ |a Katlenburg-Lindau
|c 2018
|b Copernicus
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1552644597_21952
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The chemistry–climate model ECHAM-HAMMOZ contains a detailed representation of tropospheric and stratospheric reactive chemistry and state-of-the-art parameterizations of aerosols using either a modal scheme (M7) or a bin scheme (SALSA). This article describes and evaluates the model version ECHAM6.3-HAM2.3-MOZ1.0 with a focus on the tropospheric gas-phase chemistry. A 10-year model simulation was performed to test the stability of the model and provide data for its evaluation. The comparison to observations concentrates on the year 2008 and includes total column observations of ozone and CO from IASI and OMI, Aura MLS observations of temperature, HNO3, ClO, and O3 for the evaluation of polar stratospheric processes, an ozonesonde climatology, surface ozone observations from the TOAR database, and surface CO data from the Global Atmosphere Watch network. Global budgets of ozone, OH, NOx, aerosols, clouds, and radiation are analyzed and compared to the literature. ECHAM-HAMMOZ performs well in many aspects. However, in the base simulation, lightning NOx emissions are very low, and the impact of the heterogeneous reaction of HNO3 on dust and sea salt aerosol is too strong. Sensitivity simulations with increased lightning NOx or modified heterogeneous chemistry deteriorate the comparison with observations and yield excessively large ozone budget terms and too much OH. We hypothesize that this is an impact of potential issues with tropical convection in the ECHAM model.
536 _ _ |a 243 - Tropospheric trace substances and their transformation processes (POF3-243)
|0 G:(DE-HGF)POF3-243
|c POF3-243
|f POF III
|x 0
536 _ _ |a 512 - Data-Intensive Science and Federated Computing (POF3-512)
|0 G:(DE-HGF)POF3-512
|c POF3-512
|f POF III
|x 1
536 _ _ |a Chemical processes in the troposphere and their impact on climate (jicg23_20151101)
|0 G:(DE-Juel1)jicg23_20151101
|c jicg23_20151101
|f Chemical processes in the troposphere and their impact on climate
|x 2
536 _ _ |0 G:(DE-Juel-1)ESDE
|a Earth System Data Exploration (ESDE)
|c ESDE
|x 3
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Stadtler, Scarlet
|0 P:(DE-Juel1)164575
|b 1
700 1 _ |a Schröder, Sabine
|0 P:(DE-Juel1)16212
|b 2
700 1 _ |a Taraborrelli, Domenico
|0 P:(DE-Juel1)167439
|b 3
700 1 _ |a Franco, Bruno
|0 P:(DE-Juel1)168550
|b 4
700 1 _ |a Krefting, Jonathan
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Henrot, Alexandra
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Ferrachat, Sylvaine
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Lohmann, Ulrike
|0 0000-0001-8885-3785
|b 8
700 1 _ |a Neubauer, David
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Siegenthaler-Le Drian, Colombe
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Wahl, Sebastian
|0 P:(DE-HGF)0
|b 11
700 1 _ |a Kokkola, Harri
|0 P:(DE-HGF)0
|b 12
700 1 _ |a Kühn, Thomas
|0 0000-0001-5978-0601
|b 13
700 1 _ |a Rast, Sebastian
|0 P:(DE-HGF)0
|b 14
700 1 _ |a Schmidt, Hauke
|0 P:(DE-HGF)0
|b 15
700 1 _ |a Stier, Philip
|0 0000-0002-1191-0128
|b 16
700 1 _ |a Kinnison, Doug
|0 P:(DE-HGF)0
|b 17
700 1 _ |a Tyndall, Geoffrey S.
|0 0000-0002-0695-5241
|b 18
700 1 _ |a Orlando, John J.
|0 P:(DE-HGF)0
|b 19
700 1 _ |a Wespes, Catherine
|0 P:(DE-HGF)0
|b 20
773 _ _ |a 10.5194/gmd-11-1695-2018
|g Vol. 11, no. 5, p. 1695 - 1723
|0 PERI:(DE-600)2456725-5
|n 5
|p 1695 - 1723
|t Geoscientific model development
|v 11
|y 2018
|x 1991-9603
856 4 _ |u https://juser.fz-juelich.de/record/845584/files/schultz_hammoz_gmd-11-1695-2018.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845584/files/schultz_hammoz_gmd-11-1695-2018.gif?subformat=icon
|x icon
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845584/files/schultz_hammoz_gmd-11-1695-2018.jpg?subformat=icon-1440
|x icon-1440
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845584/files/schultz_hammoz_gmd-11-1695-2018.jpg?subformat=icon-180
|x icon-180
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845584/files/schultz_hammoz_gmd-11-1695-2018.jpg?subformat=icon-640
|x icon-640
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845584/files/schultz_hammoz_gmd-11-1695-2018.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:845584
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB:Earth_Environment
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)6952
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)164575
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)16212
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)167439
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)168550
913 1 _ |a DE-HGF
|l Atmosphäre und Klima
|1 G:(DE-HGF)POF3-240
|0 G:(DE-HGF)POF3-243
|2 G:(DE-HGF)POF3-200
|v Tropospheric trace substances and their transformation processes
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Erde und Umwelt
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-512
|2 G:(DE-HGF)POF3-500
|v Data-Intensive Science and Federated Computing
|x 1
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2018
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b GEOSCI MODEL DEV : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
920 1 _ |0 I:(DE-Juel1)IEK-8-20101013
|k IEK-8
|l Troposphäre
|x 0
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 1
920 1 _ |0 I:(DE-82)080012_20140620
|k JARA-HPC
|l JARA - HPC
|x 2
980 1 _ |a APC
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-8-20101013
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a I:(DE-82)080012_20140620
980 _ _ |a APC
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)ICE-3-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21