001     885521
005     20240712100843.0
024 7 _ |a 10.5194/acp-20-11469-2020
|2 doi
024 7 _ |a 1680-7316
|2 ISSN
024 7 _ |a 1680-7324
|2 ISSN
024 7 _ |a 2128/25867
|2 Handle
024 7 _ |a altmetric:91915554
|2 altmetric
024 7 _ |a WOS:000578985500001
|2 WOS
037 _ _ |a FZJ-2020-03901
041 _ _ |a English
082 _ _ |a 550
100 1 _ |a Krisch, Isabell
|0 P:(DE-Juel1)180608
|b 0
|e Corresponding author
|u fzj
245 _ _ |a Superposition of gravity waves with different propagation characteristics observed by airborne and space-borne infrared sounders
260 _ _ |a Katlenburg-Lindau
|c 2020
|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 1608728421_18267
|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 Many gravity wave analyses, based on either observations or model simulations, assume the presence of only a single dominant wave. This paper shows that there are much more complex cases with gravity waves from multiple sources crossing each others' paths. A complex gravity wave structure consisting of a superposition of multiple wave packets was observed above southern Scandinavia on 28 January 2016 with the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA). The tomographic measurement capability of GLORIA enabled a detailed 3-D reconstruction of the gravity wave field and the identification of multiple wave packets with different horizontal and vertical scales. The larger-scale gravity waves with horizontal wavelengths of around 400 km could be characterised using a 3-D wave-decomposition method. The smaller-scale wave components with horizontal wavelengths below 200 km were discussed by visual inspection. For the larger-scale gravity wave components, a combination of gravity-wave ray-tracing calculations and ERA5 reanalysis fields identified orography as well as a jet-exit region and a low-pressure system as possible sources. All gravity waves are found to propagate upward into the middle stratosphere, but only the orographic waves stay directly above their source. The comparison with ERA5 also shows that ray tracing provides reasonable results even for such complex cases with multiple overlapping wave packets. Despite their coarser vertical resolution compared to GLORIA measurements, co-located AIRS measurements in the middle stratosphere are in good agreement with the ray tracing and ERA5 results, proving once more the validity of simple ray-tracing models. Thus, this paper demonstrates that the high-resolution GLORIA observations in combination with simple ray-tracing calculations can provide an important source of information for enhancing our understanding of gravity wave propagation.
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 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 1
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Ern, Manfred
|0 P:(DE-Juel1)129117
|b 1
700 1 _ |a Hoffmann, Lars
|0 P:(DE-Juel1)129125
|b 2
700 1 _ |a Preusse, Peter
|0 P:(DE-Juel1)129143
|b 3
700 1 _ |a Strube, Cornelia
|0 P:(DE-Juel1)169715
|b 4
700 1 _ |a Ungermann, Jörn
|0 P:(DE-Juel1)129105
|b 5
700 1 _ |a Woiwode, Wolfgang
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Riese, Martin
|0 P:(DE-Juel1)129145
|b 7
773 _ _ |a 10.5194/acp-20-11469-2020
|g Vol. 20, no. 19, p. 11469 - 11490
|0 PERI:(DE-600)2069847-1
|n 19
|p 11469 - 11490
|t Atmospheric chemistry and physics
|v 20
|y 2020
|x 1680-7324
856 4 _ |u https://juser.fz-juelich.de/record/885521/files/invoice_Helmholtz-PUC-2020-122.pdf
856 4 _ |u https://juser.fz-juelich.de/record/885521/files/acp-20-11469-2020%281%29.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/885521/files/acp-20-11469-2020%281%29.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:885521
|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)180608
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)129117
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)129125
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)129143
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)169715
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)129105
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)129145
913 1 _ |a DE-HGF
|b Erde und Umwelt
|l Atmosphäre und Klima
|1 G:(DE-HGF)POF3-240
|0 G:(DE-HGF)POF3-244
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-200
|4 G:(DE-HGF)POF
|v Composition and dynamics of the upper troposphere and middle atmosphere
|x 0
913 1 _ |a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Computational Science and Mathematical Methods
|x 1
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-01-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-01-18
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ATMOS CHEM PHYS : 2018
|d 2020-01-18
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b ATMOS CHEM PHYS : 2018
|d 2020-01-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-01-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-01-18
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
|d 2020-01-18
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-01-18
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-01-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-01-18
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
|d 2020-01-18
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|f 2020-01-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2020-01-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
|d 2020-01-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-01-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-01-18
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-7-20101013
|k IEK-7
|l Stratosphäre
|x 0
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 1
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-7-20101013
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED
980 _ _ |a APC
981 _ _ |a I:(DE-Juel1)ICE-4-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21