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Evaluation of ozone analyses from UARS MLS assimilation by BASCOE between 1992 and 1997

dc.contributor.authorViscardy, S.
dc.contributor.authorErrera, Q.
dc.contributor.authorChristophe, Y.
dc.contributor.authorChabrillat, S.
dc.contributor.authorLambert, J.-C.
dc.date2010
dc.date.accessioned2016-03-30T12:01:18Z
dc.date.available2016-03-30T12:01:18Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/3201
dc.descriptionWe present the analyses of UARS MLS ozone data obtained by the Belgian Assimilation System for Chemical ObsErvations (BASCOE). This system, based on the 4D-var method, is dedicated to the assimilation of stratospheric chemistry observations. It uses a 3-D Chemical Transport Model (3D-CTM) including 57 chemical species with explicit calculation of stratospheric chemistry. The CTM is driven by ECMWF ERA-40 analyses of winds and temperature, with a horizontal grid of 3.75° in latitude by 5° in longitude, and with 37 pressure levels from the surface to 0.1 hPa. BASCOE has assimilated UARS MLS observations acquired during the period 19921997. We discuss how BASCOE is able to reproduce MLS data, and we evaluate the BASCOE analyses with respect to independent observations from UARS HALOE, ozonesondes, and ground-based lidars. An excellent agreement is found with independent observations (bias usually less than 10%), except in the lowermost stratosphere and in the Antarctic ozone hole. The performances of BASCOE ozone analyses are also compared to those of two other long-term ozone reanalyses; namely, ERA-40 and ERA-Interim, both from ECMWF. Finally, sensitivity test based on BASCOE free model runs suggest that ozone analyses during the ozone hole period would be greatly improved by driving BASCOE with the dynamical fields of the new ECMWF reanalyses ERA-Interim. This work is part of the Stratospheric Ozone Profile Record service raised by the GMES Service Element PROMOTE.
dc.languageeng
dc.titleEvaluation of ozone analyses from UARS MLS assimilation by BASCOE between 1992 and 1997
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.free4D-Var assimilation
dc.subject.freeAntarctic ozone hole
dc.subject.freeAssimilation system
dc.subject.freeChemical species
dc.subject.freeChemical transport models
dc.subject.freeDynamical fields
dc.subject.freeFree model
dc.subject.freeGround based
dc.subject.freeHorizontal grid
dc.subject.freeLowermost stratosphere
dc.subject.freeOzone analysis
dc.subject.freeOzone hole
dc.subject.freeOzonesondes
dc.subject.freePressure level
dc.subject.freeSensitivity tests
dc.subject.freeService elements
dc.subject.freeStratospheric chemistry
dc.subject.freeStratospheric ozone profiles
dc.subject.freeAtmospherics
dc.subject.freeMeteorological instruments
dc.subject.freeOptical radar
dc.subject.freeOzone layer
dc.subject.freeSulfur compounds
dc.subject.freeThree dimensional
dc.subject.freeUpper atmosphere
dc.subject.freeValue engineering
dc.subject.freeOzone
dc.subject.freeair temperature
dc.subject.freeatmospheric chemistry
dc.subject.freeatmospheric pressure
dc.subject.freeatmospheric transport
dc.subject.freedata assimilation
dc.subject.freeozone
dc.subject.freeozonesonde
dc.subject.freestratosphere
dc.subject.freewind
dc.source.titleIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.source.volume3
dc.source.issue2
dc.source.page5418830
Orfeo.peerreviewedYes
dc.identifier.doi10.1109/JSTARS.2010.2040463
dc.identifier.scopus2-s2.0-77952680459


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