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dc.contributor.authorDe Grandpré, J.
dc.contributor.authorMénard, R.
dc.contributor.authorRochon, Y.J.
dc.contributor.authorCharette, C.
dc.contributor.authorChabrillat, S.
dc.contributor.authorRobichaud, A.
dc.date2009
dc.date.accessioned2016-04-05T13:47:15Z
dc.date.available2016-04-05T13:47:15Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/3305
dc.descriptionThe objective of this study is to investigate the impact on temperature forecast of using ozone analyses for the computation of heating rates in a three-dimensional variational data assimilation (3D-Var) system with a coupled model. The system is based on a tropospheric-stratospheric forecast model that includes a comprehensive stratospheric chemistry module for online resolution of the dynamical, radiative, and photochemical interactions. The system assimilates conventional observations as well as temperature and ozone measurements from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument. Several data assimilation cycles have been performed over the period August-October 2003 to produce a set of analyses that have been used for launching an ensemble of 10-day forecasts. Temperature and ozone forecasts have been compared with MIPAS and radiosonde observations in different regions. Results show that, in the absence of ozone assimilation, the impact of using a prognostic ozone distribution for the computation of heating rates as opposed to monthly mean climatologies is generally neutral. With the addition of ozone assimilation, the improvement against a noninteractive assimilation system is systematic and occurs over a wide range of time scales throughout the lower stratosphere. The improvement on 6-h temperature forecasts is mainly seen in the Southern Hemisphere, where ozone analyses are in good agreement with observations. For 10-day forecasts, the impact of using ozone analyses is more important in the Northern Hemisphere, where it improves the temperature predictability by more than 1 day at 50 hPa. Comparisons with analyses also show a systematic reduction of the temperature root-mean-square errors and biases throughout the assimilation period. The overall results demonstrate that a comprehensive coupled 3D-Var system that incorporates the radiative feedback from ozone analyses can be used for improving temperature predictability throughout the stratosphere. Comprehensive approaches can be used as a benchmark for the development of linearized methods for improving temperature and ozone forecasting in the region. © 2009 American Meteorological Society.
dc.languageeng
dc.titleRadiative impact of ozone on temperature predictability in a coupled chemistry-dynamics data assimilation system
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeAssimilation system
dc.subject.freeCoupled chemistry
dc.subject.freeCoupled models
dc.subject.freeData assimilation
dc.subject.freeData assimilation systems
dc.subject.freeFORECAST model
dc.subject.freeLinearized methods
dc.subject.freeLower stratosphere
dc.subject.freeMichelson interferometer for passive atmospheric soundings
dc.subject.freeNon-interactive
dc.subject.freeNorthern Hemispheres
dc.subject.freeOzone analysis
dc.subject.freeOzone assimilation
dc.subject.freeOzone distribution
dc.subject.freeOzone forecast
dc.subject.freeOzone forecasting
dc.subject.freeOzone measurements
dc.subject.freePhotochemical interactions
dc.subject.freeRadiative impacts
dc.subject.freeRoot-mean square errors
dc.subject.freeSouthern Hemisphere
dc.subject.freeStratospheric chemistry
dc.subject.freeTemperature forecasts
dc.subject.freeTime-scales
dc.subject.freeVariational data assimilation
dc.subject.freeAtmospheric spectra
dc.subject.freeAtmospherics
dc.subject.freeClimatology
dc.subject.freeData processing
dc.subject.freeHeating
dc.subject.freeHeating rate
dc.subject.freeMichelson interferometers
dc.subject.freeOzone
dc.subject.freeRadiosondes
dc.subject.freeSulfur compounds
dc.subject.freeSystematic errors
dc.subject.freeThree dimensional
dc.subject.freeUpper atmosphere
dc.subject.freeValue engineering
dc.subject.freeWeather forecasting
dc.subject.freeAtmospheric temperature
dc.subject.freeair temperature
dc.subject.freeclimate prediction
dc.subject.freedata assimilation
dc.subject.freeNorthern Hemisphere
dc.subject.freeozone
dc.subject.freeradiative forcing
dc.subject.freeradiosonde
dc.subject.freeSouthern Hemisphere
dc.subject.freestratosphere-troposphere interaction
dc.subject.freeweather forecasting
dc.source.titleMonthly Weather Review
dc.source.volume137
dc.source.issue2
dc.source.page679-692
Orfeo.peerreviewedYes
dc.identifier.doi10.1175/2008MWR2572.1
dc.identifier.scopus2-s2.0-68249144478


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