Home > Publications database > Intercomparison of AIRS and HIRDLS stratospheric gravity wave observations > print

001     842125
005     20240712100830.0
024 7 _ |a 10.5194/amt-11-215-2018
|2 doi
024 7 _ |a 1867-1381
|2 ISSN
024 7 _ |a 1867-8548
|2 ISSN
024 7 _ |a 2128/16563
|2 Handle
024 7 _ |a WOS:000419988400001
|2 WOS
024 7 _ |a altmetric:31581781
|2 altmetric
037 _ _ |a FZJ-2018-00404
082 _ _ |a 550
100 1 _ |a Meyer, Catrin I.
|0 P:(DE-Juel1)156465
|b 0
|e Corresponding author
245 _ _ |a Intercomparison of AIRS and HIRDLS stratospheric gravity wave observations
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 1516007783_30488
|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 We investigate stratospheric gravity wave observations by the Atmospheric InfraRed Sounder (AIRS) aboard NASA's Aqua satellite and the High Resolution Dynamics Limb Sounder (HIRDLS) aboard NASA's Aura satellite. AIRS operational temperature retrievals are typically not used for studies of gravity waves, because their vertical and horizontal resolution is rather limited. This study uses data of a high-resolution retrieval which provides stratospheric temperature profiles for each individual satellite footprint. Therefore the horizontal sampling of the high-resolution retrieval is 9 times better than that of the operational retrieval. HIRDLS provides 2-D spectral information of observed gravity waves in terms of along-track and vertical wavelengths. AIRS as a nadir sounder is more sensitive to short-horizontal-wavelength gravity waves, and HIRDLS as a limb sounder is more sensitive to short-vertical-wavelength gravity waves. Therefore HIRDLS is ideally suited to complement AIRS observations. A calculated momentum flux factor indicates that the waves seen by AIRS contribute significantly to momentum flux, even if the AIRS temperature variance may be small compared to HIRDLS. The stratospheric wave structures observed by AIRS and HIRDLS often agree very well. Case studies of a mountain wave event and a non-orographic wave event demonstrate that the observed phase structures of AIRS and HIRDLS are also similar. AIRS has a coarser vertical resolution, which results in an attenuation of the amplitude and coarser vertical wavelengths than for HIRDLS. However, AIRS has a much higher horizontal resolution, and the propagation direction of the waves can be clearly identified in geographical maps. The horizontal orientation of the phase fronts can be deduced from AIRS 3-D temperature fields. This is a restricting factor for gravity wave analyses of limb measurements. Additionally, temperature variances with respect to stratospheric gravity wave activity are compared on a statistical basis. The complete HIRDLS measurement period from January 2005 to March 2008 is covered. The seasonal and latitudinal distributions of gravity wave activity as observed by AIRS and HIRDLS agree well. A strong annual cycle at mid- and high latitudes is found in time series of gravity wave variances at 42 km, which has its maxima during wintertime and its minima during summertime. The variability is largest during austral wintertime at 60° S. Variations in the zonal winds at 2.5 hPa are associated with large variability in gravity wave variances. Altogether, gravity wave variances of AIRS and HIRDLS are complementary to each other. Large parts of the gravity wave spectrum are covered by joint observations. This opens up fascinating vistas for future gravity wave research.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
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 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 Trinh, Quang Thai
|0 P:(DE-Juel1)151304
|b 3
700 1 _ |a Alexander, M. Joan
|0 P:(DE-HGF)0
|b 4
773 _ _ |a 10.5194/amt-11-215-2018
|g Vol. 11, no. 1, p. 215 - 232
|0 PERI:(DE-600)2505596-3
|n 1
|p 215 - 232
|t Atmospheric measurement techniques
|v 11
|y 2018
|x 1867-8548
856 4 _ |u https://juser.fz-juelich.de/record/842125/files/amt-11-215-2018.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/842125/files/amt-11-215-2018.gif?subformat=icon
|x icon
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/842125/files/amt-11-215-2018.jpg?subformat=icon-1440
|x icon-1440
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/842125/files/amt-11-215-2018.jpg?subformat=icon-180
|x icon-180
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/842125/files/amt-11-215-2018.jpg?subformat=icon-640
|x icon-640
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/842125/files/amt-11-215-2018.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:842125
|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)156465
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)151304
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
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 1
|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)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ATMOS MEAS TECH : 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)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
920 1 _ |0 I:(DE-Juel1)IEK-7-20101013
|k IEK-7
|l Stratosphäre
|x 1
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a I:(DE-Juel1)IEK-7-20101013
980 _ _ |a APC
981 _ _ |a I:(DE-Juel1)ICE-4-20101013

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21