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000033270 084__ $$2WoS$$aMeteorology & Atmospheric Sciences
000033270 1001_ $$0P:(DE-HGF)0$$aOffermann, D.$$b0
000033270 245__ $$aWater vapor at the tropopause during the CRISTA 2 mission
000033270 260__ $$aWashington, DC$$aWashington, DC$$bUnion$$bUnion$$c2002
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000033270 440_0 $$03369$$aJournal of Geophysical Research$$v107$$x0022-1406
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000033270 520__ $$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.
000033270 536__ $$0G:(DE-Juel1)FUEK257$$2G:(DE-HGF)$$aChemie und Dynamik der Geo-Biosphäre$$cU01$$x0
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000033270 65320 $$2Author$$awater vapor
000033270 65320 $$2Author$$atropopause
000033270 65320 $$2Author$$aCRISTA
000033270 65320 $$2Author$$atrace gas variability
000033270 65320 $$2Author$$aconstituent transport
000033270 65320 $$2Author$$amiddle atmosphere dynamics
000033270 650_7 $$2WoSType$$aJ
000033270 7001_ $$0P:(DE-HGF)0$$aSchaeler, B.$$b1
000033270 7001_ $$0P:(DE-HGF)0$$aRiese, M.$$b2
000033270 7001_ $$0P:(DE-HGF)0$$aLangfermann, M.$$b3
000033270 7001_ $$0P:(DE-HGF)0$$aJarisch, M.$$b4
000033270 7001_ $$0P:(DE-HGF)0$$aEidmann, G.$$b5
000033270 7001_ $$0P:(DE-Juel1)VDB1410$$aSchiller, C.$$b6$$uFZJ
000033270 7001_ $$0P:(DE-Juel1)16203$$aSmit, H. G. J.$$b7$$uFZJ
000033270 7001_ $$0P:(DE-HGF)0$$aRead, W. G.$$b8
000033270 773__ $$0PERI:(DE-600)2016800-7$$a10.1029/2001JD000700$$gVol. 107, p. 23$$nD23$$pCRI 4-1–CRI 4-18, 16$$q107<23$$tJournal of geophysical research / Atmospheres$$v107$$x0022-1406$$y2002
000033270 8567_ $$uhttp://dx.doi.org/10.1029/2001JD000700
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