001     33270
005     20240712101000.0
024 7 _ |a 10.1029/2001JD000700
|2 DOI
024 7 _ |a WOS:000180490000003
|2 WOS
024 7 _ |a 0022-1406
|2 ISSN
024 7 _ |a 0148-0227
|2 ISSN
024 7 _ |a 2128/20858
|2 Handle
037 _ _ |a PreJuSER-33270
041 _ _ |a eng
082 _ _ |a 550
082 _ _ |a 550
084 _ _ |2 WoS
|a Meteorology & Atmospheric Sciences
100 1 _ |a Offermann, D.
|b 0
|0 P:(DE-HGF)0
245 _ _ |a Water vapor at the tropopause during the CRISTA 2 mission
260 _ _ |a Washington, DC
|b Union
|c 2002
|a Washington, DC
|b Union
300 _ _ |a 23
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
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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
|x 0022-1406
|0 3369
|v 107
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a [1] Water vapor mixing ratios at the tropopause are derived as a new Cryogenic Infrared Spectrometers and Telescopes for the Atmosphere (CRISTA) data product from limb scan measurements of the second mission. Global maps are obtained on a daily basis. Data loss due to high clouds is found to be moderate. Good agreement with in situ airplane measurements (Fast In Situ Stratospheric Hygrometer (FISH)) is obtained for these Version 1 data. A number of different analyses are performed to show the research potential of the data product: the CRISTA data are compared to measurements of the Microwave Limb Sounder (MLS) instrument on the Upper Atmosphere Research Satellite (UARS). Version 4.9 climatology data and Version 5 coincident measurements are used. Good agreement of CRISTA and Version 4.9 data is obtained, whereas there are differences with respect to the Version 5.0 data. CRISTA finds vapor mixing ratios to be highly variable. Only a small part of this is instrumental. Variability is structured, and a scaling behavior is observed. Relation to convectively generated gravity waves is discussed. Relative humidity (RH) is determined on the basis of the CRISTA data. Suitability for supersaturation statistics is discussed and appears to be limited. CRISTA water vapor data are assimilated into a 3D transport model driven by UK Meteorological Office (UKMO) winds. Results are discussed in terms of meridional transports and atmospheric diffusivities. Diffusivities appear to be connected with the water vapor variances in a simple manner.
536 _ _ |a Chemie und Dynamik der Geo-Biosphäre
|c U01
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588 _ _ |a Dataset connected to Web of Science
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a water vapor
653 2 0 |2 Author
|a tropopause
653 2 0 |2 Author
|a CRISTA
653 2 0 |2 Author
|a trace gas variability
653 2 0 |2 Author
|a constituent transport
653 2 0 |2 Author
|a middle atmosphere dynamics
700 1 _ |a Schaeler, B.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Riese, M.
|b 2
|0 P:(DE-HGF)0
700 1 _ |a Langfermann, M.
|b 3
|0 P:(DE-HGF)0
700 1 _ |a Jarisch, M.
|b 4
|0 P:(DE-HGF)0
700 1 _ |a Eidmann, G.
|b 5
|0 P:(DE-HGF)0
700 1 _ |a Schiller, C.
|b 6
|u FZJ
|0 P:(DE-Juel1)VDB1410
700 1 _ |a Smit, H. G. J.
|b 7
|u FZJ
|0 P:(DE-Juel1)16203
700 1 _ |a Read, W. G.
|b 8
|0 P:(DE-HGF)0
773 _ _ |0 PERI:(DE-600)2016800-7
|a 10.1029/2001JD000700
|g Vol. 107, p. 23
|q 107<23
|t Journal of geophysical research / Atmospheres
|v 107
|x 0022-1406
|y 2002
|p CRI 4-1–CRI 4-18, 16
|n D23
856 7 _ |u http://dx.doi.org/10.1029/2001JD000700
856 4 _ |u https://juser.fz-juelich.de/record/33270/files/2001JD000700.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/33270/files/2001JD000700.pdf?subformat=pdfa
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|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:33270
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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
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914 1 _ |y 2001
915 _ _ |a OpenAccess
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915 _ _ |a JCR/ISI refereed
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920 1 _ |k ICG-II
|l Troposphäre
|d 31.12.2006
|g ICG
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|x 0
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981 _ _ |a I:(DE-Juel1)IEK-8-20101013


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