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Global long-term monitoring of the ozone layer - A prerequisite for predictions

dc.contributor.authorLoyola, D.G.
dc.contributor.authorColdewey-Egbers, R.M.
dc.contributor.authorDameris, M.
dc.contributor.authorGarny, H.
dc.contributor.authorStenke, A.
dc.contributor.authorVan Roozendael, M.
dc.contributor.authorLerot, C.
dc.contributor.authorBalis, D.
dc.contributor.authorKoukouli, M.
dc.date2009
dc.date.accessioned2016-04-05T12:42:18Z
dc.date.available2016-04-05T12:42:18Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/3290
dc.descriptionAlthough the Montreal Protocol now controls the production and emission of ozone depleting substances, the timing of ozone recovery is unclear. There are many other factors affecting the ozone layer, in particular climate change is expected to modify the speed of re-creation of the ozone layer. Therefore, long-term observations are needed to monitor the further evolution of the stratospheric ozone layer. Measurements from satellite instruments provide global coverage and are supplementary to selective ground-based observations. The combination of data derived from different space-borne instruments is needed to produce homogeneous and consistent long-term data records. They are required for robust investigations including trend analysis. For the first time global total ozone columns from three European satellite sensors GOME (ERS-2), SCIAMACHY (ENVISAT), and GOME-2 (METOP-A) are combined and added up to a continuous time series starting in June 1995. On the one hand it is important to monitor the consequences of the Montreal Protocol and its amendments; on the other hand multi-year observations provide the basis for the evaluation of numerical models describing atmospheric processes, which are also used for prognostic studies to assess the future development. This paper gives some examples of how to use satellite data products to evaluate model results with respective data derived from observations, and to disclose the abilities and deficiencies of atmospheric models. In particular, multi-year mean values derived from the Chemistry-Climate Model E39C-A are used to check climatological values and the respective standard deviations. © 2009 Taylor & Francis.
dc.languageeng
dc.titleGlobal long-term monitoring of the ozone layer - A prerequisite for predictions
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeAtmospheric model
dc.subject.freeAtmospheric process
dc.subject.freeChemistry-climate models
dc.subject.freeContinuous time
dc.subject.freeENVISAT
dc.subject.freeGlobal coverage
dc.subject.freeGround-based observations
dc.subject.freeLong term data record
dc.subject.freeLong term monitoring
dc.subject.freeMean values
dc.subject.freeModel results
dc.subject.freeMontreal Protocols
dc.subject.freeNumerical models
dc.subject.freeOzone depleting substances
dc.subject.freeOzone recovery
dc.subject.freeSatellite data
dc.subject.freeSatellite instruments
dc.subject.freeSatellite sensors
dc.subject.freeSpace-borne instruments
dc.subject.freeStandard deviation
dc.subject.freeStratospheric ozone
dc.subject.freeTotal ozone column
dc.subject.freeTrend analysis
dc.subject.freeAtmospheric chemistry
dc.subject.freeClimate change
dc.subject.freeClimate models
dc.subject.freeOzone
dc.subject.freeSatellites
dc.subject.freeTime series
dc.subject.freeOzone layer
dc.subject.freeatmospheric modeling
dc.subject.freeclimate change
dc.subject.freeGOME
dc.subject.freemeasurement method
dc.subject.freenumerical model
dc.subject.freeobservational method
dc.subject.freeozone
dc.subject.freeozone depletion
dc.subject.freeprediction
dc.subject.freesatellite data
dc.subject.freesatellite imagery
dc.subject.freesatellite sensor
dc.subject.freeSCIAMACHY
dc.subject.freestratosphere
dc.source.titleInternational Journal of Remote Sensing
dc.source.volume30
dc.source.issue15-16
dc.source.page4295-4318
Orfeo.peerreviewedYes
dc.identifier.doi10.1080/01431160902825016
dc.identifier.scopus2-s2.0-74049137198


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