001     47843
005     20240911115614.0
024 7 _ |a 10.1029/2004JD005342
|2 DOI
024 7 _ |a WOS:000228852200007
|2 WOS
024 7 _ |a 0141-8637
|2 ISSN
024 7 _ |a 2128/20483
|2 Handle
037 _ _ |a PreJuSER-47843
041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Meteorology & Atmospheric Sciences
100 1 _ |a Wang, D. Y.
|b 0
|0 P:(DE-HGF)0
245 _ _ |a Validation of stratospheric temperatures measured by Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat
260 _ _ |c 2005
|a Washington, DC
|b Union
300 _ _ |a D08301
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Journal of Geophysical Research D: Atmospheres
|x 0148-0227
|0 6393
|y D8
|v 110
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a [1] The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) onboard the Envisat satellite provides temperature and various gas profiles from limb-viewing midinfrared emission measurements. The stratospheric temperatures retrieved at the Institut fur Meteorologie und Klimaforschung (IMK) for September/October 2002 and October/November 2003 are compared with a number of reference data sets, including global radiosonde (RS) observations, radio occultation (RO) measurements of Global Positioning System (GPS) on German Challenging Minisatellite Payload ( CHAMP) and Argentinean Satelite de Aplicaciones Cientificas-C (SAC-C) satellite, Halogen Occultation Experiment (HALOE) on the Upper Atmosphere Research Satellite (UARS), and the analyses of European Centre for Medium-Range Weather Forecasts (ECMWF) and Met Office (METO), United Kingdom. The data sets show a good general agreement. Between 10 and 30 km altitude the mean differences are within +/- 0.5 K for the averages over the height interval and within +/-( 1 - 1.5) K at individual levels for comparisons with RS, GPS-RO/CHAMP, and SAC-C, ECMWF, and METO. Between 30 and 45 km the MIPAS mean temperatures, averaged over the height region, are higher than ECMWF but lower than METO by ∼ 1.5 K, while they differ by +/- 0.5 K with respect to HALOE, with maximum discrepancies of ∼ 2.5 K peaking around 35 km. Between 45 and 50 km, MIPAS temperatures show a low bias compared to HALOE, ECMWF, and METO with mean differences of - 1 to - 3 K and with a better agreement with HALOE. The large discrepancies between MIPAS and the analyses above 30 km likely suggest deficiency in the underlying general circulation models. The standard deviations vary between 2.5 and 3.5 K for individual data sets, with more than 70% being contributed from the expected variability of the atmosphere. Retrieved temperatures with accuracy of ∼ 0.5 - 1 K after removing the atmospheric variability provide highly accurate knowledge to characterize our environment.
536 _ _ |a Chemie und Dynamik der Geo-Biosphäre
|c U01
|2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK257
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
|2 WoSType
700 1 _ |a von Clarmann, T.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Fischer, H.
|b 2
|0 P:(DE-HGF)0
700 1 _ |a Funke, B.
|b 3
|0 P:(DE-HGF)0
700 1 _ |a Gil-Lopez, G.
|b 4
|0 P:(DE-HGF)0
700 1 _ |a Glatthor, G. P.
|b 5
|0 P:(DE-HGF)0
700 1 _ |a Grabowski, U.
|b 6
|0 P:(DE-HGF)0
700 1 _ |a Höpfner, M. A.
|b 7
|0 P:(DE-HGF)0
700 1 _ |a Kaufmann, M.
|b 8
|u FZJ
|0 P:(DE-Juel1)129128
700 1 _ |a Kellmann, S.
|b 9
|0 P:(DE-HGF)0
700 1 _ |a Kiefer, M.
|b 10
|0 P:(DE-HGF)0
700 1 _ |a Koukouli, M. E.
|b 11
|0 P:(DE-HGF)0
700 1 _ |a Linden, A.
|b 12
|0 P:(DE-HGF)0
700 1 _ |a Lopez-Puertas, M.
|b 13
|0 P:(DE-HGF)0
700 1 _ |a Mengistu Tsidu, G.
|b 14
|0 P:(DE-HGF)0
700 1 _ |a Milz, M. A.
|b 15
|0 P:(DE-HGF)0
700 1 _ |a Steck, T.
|b 16
|0 P:(DE-HGF)0
700 1 _ |a Stiller, G. P.
|b 17
|0 P:(DE-HGF)0
700 1 _ |a Simmons, A. J.
|b 18
|0 P:(DE-HGF)0
700 1 _ |a Dethof, A.
|b 19
|0 P:(DE-HGF)0
700 1 _ |a Swinbank, R.
|b 20
|0 P:(DE-HGF)0
700 1 _ |a Marquardt, J. L.
|b 21
|0 P:(DE-HGF)0
700 1 _ |a Jiang, J. H.
|b 22
|0 P:(DE-HGF)0
700 1 _ |a Romans, R. L.
|b 23
|0 P:(DE-HGF)0
700 1 _ |a Wickert, J.
|b 24
|0 P:(DE-HGF)0
700 1 _ |a Schmidt, T.
|b 25
|0 P:(DE-HGF)0
700 1 _ |a Russel III, J.
|b 26
|0 P:(DE-HGF)0
700 1 _ |a Remsberg, E.
|b 27
|0 P:(DE-HGF)0
773 _ _ |0 PERI:(DE-600)2016800-7
|a 10.1029/2004JD005342
|g Vol. 110, p. D08301
|p D08301
|q 110|t Journal of Geophysical Research
|v 110
|x 0148-0227
|y 2005
|t Journal of geophysical research / Atmospheres
856 7 _ |u http://dx.doi.org/10.1029/2004JD005342
856 4 _ |u https://juser.fz-juelich.de/record/47843/files/2004JD005342.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/47843/files/2004JD005342.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:47843
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
913 1 _ |k U01
|v Chemie und Dynamik der Geo-Biosphäre
|l Chemie und Dynamik der Geo-Biosphäre
|b Environment (Umwelt)
|0 G:(DE-Juel1)FUEK257
|x 0
914 1 _ |y 2005
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a JCR/ISI refereed
|0 StatID:(DE-HGF)0010
|2 StatID
915 _ _ |a Peer review
|0 StatID:(DE-HGF)0030
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
920 1 _ |k ICG-I
|l Stratosphäre
|d 31.12.2006
|g ICG
|0 I:(DE-Juel1)VDB47
|x 0
970 _ _ |a VDB:(DE-Juel1)75404
980 1 _ |a FullTexts
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IEK-7-20101013
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)ICE-4-20101013
981 _ _ |a I:(DE-Juel1)IEK-7-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21