001     858099
005     20240712100918.0
024 7 _ |a 10.5194/acp-18-8505-2018
|2 doi
024 7 _ |a 1680-7316
|2 ISSN
024 7 _ |a 1680-7324
|2 ISSN
024 7 _ |a =
|2 ISSN
024 7 _ |a Atmospheric
|2 ISSN
024 7 _ |a chemistry
|2 ISSN
024 7 _ |a and
|2 ISSN
024 7 _ |a physics
|2 ISSN
024 7 _ |a (Online)
|2 ISSN
024 7 _ |a 2128/20317
|2 Handle
024 7 _ |a WOS:000435484300003
|2 WOS
024 7 _ |a altmetric:43825872
|2 altmetric
037 _ _ |a FZJ-2018-07017
082 _ _ |a 550
100 1 _ |a Poshyvailo, Liubov
|0 P:(DE-Juel1)165935
|b 0
|e Corresponding author
245 _ _ |a Sensitivities of modelled water vapour in the lower stratosphere: temperature uncertainty, effects of horizontal transport and small-scale mixing
260 _ _ |a Katlenburg-Lindau
|c 2018
|b EGU
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 1552414230_13872
|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 Water vapour (H2O) in the upper troposphere and lower stratosphere (UTLS) has a significant role for global radiation. A realistic representation of H2O is therefore critical for accurate climate model predictions of future climate change. In this paper we investigate the effects of current uncertainties in tropopause temperature, horizontal transport and small-scale mixing on simulated H2O in the lower stratosphere (LS).To assess the sensitivities of simulated H2O, we use the Chemical Lagrangian Model of the Stratosphere (CLaMS). First, we examine CLaMS, which is driven by two reanalyses, from the European Centre of Medium-Range Weather Forecasts (ECMWF) ERA-Interim and the Japanese 55-year Reanalysis (JRA-55), to investigate the robustness with respect to the meteorological dataset. Second, we carry out CLaMS simulations with transport barriers along latitude circles (at the Equator, 15 and 35°N/S) to assess the effects of horizontal transport. Third, we vary the strength of parametrized small-scale mixing in CLaMS.Our results show significant differences (about 0.5ppmv) in simulated stratospheric H2O due to uncertainties in the tropical tropopause temperatures between the two reanalysis datasets, JRA-55 and ERA-Interim. The JRA-55 based simulation is significantly moister when compared to ERA-Interim, due to a warmer tropical tropopause (approximately 2K). The transport barrier experiments demonstrate that the Northern Hemisphere (NH) subtropics have a strong moistening effect on global stratospheric H2O. The comparison of tropical entry H2O from the sensitivity 15°N/S barrier simulation and the reference case shows differences of up to around 1ppmv. Interhemispheric exchange shows only a very weak effect on stratospheric H2O. Small-scale mixing mainly increases troposphere–stratosphere exchange, causing an enhancement of stratospheric H2O, particularly along the subtropical jets in the summer hemisphere and in the NH monsoon regions. In particular, the Asian and American monsoon systems during a boreal summer appear to be regions especially sensitive to changes in small-scale mixing, which appears crucial for controlling the moisture anomalies in the monsoon UTLS. For the sensitivity simulation with varied mixing strength, differences in tropical entry H2O between the weak and strong mixing cases amount to about 1ppmv, with small-scale mixing enhancing H2O in the LS.The sensitivity studies presented here provide new insights into the leading processes that control stratospheric H2O, which are important for assessing and improving climate model projections.
536 _ _ |a 244 - Composition and dynamics of the upper troposphere and middle atmosphere (POF3-244)
|0 G:(DE-HGF)POF3-244
|c POF3-244
|f POF III
|x 0
536 _ _ |a Chemisches Lagrangesches Modell der Stratosphäre (CLaMS) (jicg11_20090701)
|0 G:(DE-Juel1)jicg11_20090701
|c jicg11_20090701
|f Chemisches Lagrangesches Modell der Stratosphäre (CLaMS)
|x 1
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Müller, Rolf
|0 P:(DE-Juel1)129138
|b 1
700 1 _ |a Konopka, Paul
|0 P:(DE-Juel1)129130
|b 2
700 1 _ |a Günther, Gebhard
|0 P:(DE-Juel1)129123
|b 3
700 1 _ |a Riese, Martin
|0 P:(DE-Juel1)129145
|b 4
700 1 _ |a Podglajen, Aurelien
|0 P:(DE-Juel1)173992
|b 5
|u fzj
700 1 _ |a Ploeger, Felix
|0 P:(DE-Juel1)129141
|b 6
773 _ _ |a 10.5194/acp-18-8505-2018
|g Vol. 18, no. 12, p. 8505 - 8527
|0 PERI:(DE-600)2069847-1
|n 12
|p 8505 - 8527
|t Atmospheric chemistry and physics
|v 18
|y 2018
|x 1680-7324
856 4 _ |u https://juser.fz-juelich.de/record/858099/files/acp-18-8505-2018.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:858099
|p openaire
|p open_access
|p driver
|p VDB:Earth_Environment
|p VDB
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)165935
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)129138
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)129130
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)129123
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)129145
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)173992
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)129141
913 1 _ |a DE-HGF
|l Atmosphäre und Klima
|1 G:(DE-HGF)POF3-240
|0 G:(DE-HGF)POF3-244
|2 G:(DE-HGF)POF3-200
|v Composition and dynamics of the upper troposphere and middle atmosphere
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Erde und Umwelt
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)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b ATMOS CHEM PHYS : 2017
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)0110
|2 StatID
|b Science Citation Index
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 OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ATMOS CHEM PHYS : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 1 _ |0 I:(DE-Juel1)IEK-7-20101013
|k IEK-7
|l Stratosphäre
|x 0
920 1 _ |0 I:(DE-82)080012_20140620
|k JARA-HPC
|l JARA - HPC
|x 1
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-7-20101013
980 _ _ |a I:(DE-82)080012_20140620
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)ICE-4-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21