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dc.contributor.authorLahoz, W.
dc.contributor.authorGeer, A.
dc.contributor.authorSwinbank, R.
dc.contributor.authorJackson, D.
dc.contributor.authorThornton, H.
dc.contributor.authorDethof, A.
dc.contributor.authorFonteyn, D.
dc.date2004
dc.date.accessioned2017-04-20T13:08:02Z
dc.date.available2017-04-20T13:08:02Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/5105
dc.descriptionAt the 2nd Workshop of the Atmospheric Chemistry Validation of Envisat (ACVE-2), re-processed water vapour data from MIPAS (V 4.61) were evaluated using data assimilation models. The following groups participated: (i) the Data Assimilation Research Centre in collaboration with the Met Office, both UK; (ii) the European Centre for Medium-range Weather Forecasts; and (iii) the Belgian Institute for Space Aeronomy. This paper discusses issues concerning the assimilation of water vapour in the troposphere and stratosphere, and presents preliminary results from the evaluation of the re-processed MIPAS water vapour data. This evaluation exercise was done under the auspices of the Modelling and Assimilation (MA) validation subgroup of the Atmospheric Chemistry Validation Team (ACVT) for Envisat.
dc.languageeng
dc.relation.ispartofseriesESA SP
dc.titleModelling and Assimilation: Evaluation of MIPAS water vapour data
dc.typeConference
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeClouds
dc.subject.freeData reduction
dc.subject.freeErrors
dc.subject.freeMathematical models
dc.subject.freeMatrix algebra
dc.subject.freePrecipitation (meteorology)
dc.subject.freeVapors
dc.subject.freeWeather forecasting
dc.subject.freeControl variables
dc.subject.freeGeneral circulation models (GCM)
dc.subject.freePassive assimilation
dc.subject.freeSubgroups
dc.subject.freeAtmospheric chemistry
dc.source.titleESA-SP 562, Proceedings of the Second Workshop on the Atmospheric Chemistry Validation of ENVISAT (ACVE-2)
dc.source.issue562
dc.source.page221-225
Orfeo.peerreviewedNo
dc.identifier.scopus2-s2.0-18644377104


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