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dc.contributor.authorQuesada-Ruiz, Samuel
dc.contributor.authorAttié, Jean-Luc
dc.contributor.authorLahoz, William A.
dc.contributor.authorAbida, Rachid
dc.contributor.authorRicaud, Philippe
dc.contributor.authorEl Amraoui, Laaziz
dc.contributor.authorZbinden, Regina
dc.contributor.authorPiacentini, Andrea
dc.contributor.authorJoly, Mathieu
dc.contributor.authorEskes, Henk
dc.contributor.authorSegers, Arjo
dc.contributor.authorCurier, Lyana
dc.contributor.authorde Haan, Johan
dc.contributor.authorKujanpää, Jukka
dc.contributor.authorNijhuis, Albert C. P. O.
dc.contributor.authorTamminen, Johanna
dc.contributor.authorTimmermans, Renske
dc.contributor.authorVeefkind, Pepijn
dc.date.accessioned2020-02-11T08:59:00Z
dc.date.available2020-02-11T08:59:00Z
dc.date.created2020-01-31T08:36:45Z
dc.date.issued2020
dc.identifier.citationAtmospheric Measurement Techniques. 2020, 13 131-152.nb_NO
dc.identifier.issn1867-1381
dc.identifier.urihttp://hdl.handle.net/11250/2640929
dc.description.abstractWe present an observing simulated system experiment (OSSE) dedicated to evaluate the potential added value from the Sentinel-4 and the Sentinel-5P observations on tropospheric ozone composition. For this purpose, the ozone data of Sentinel-4 (Ultraviolet Visible Near-infrared) and Sentinel-5P (TROPOspheric Monitoring Instrument) on board a geostationary (GEO) and a low-Earth-orbit (LEO) platform, respectively, have been simulated using the DISAMAR inversion package for the summer 2003. To ensure the robustness of the results, the OSSE has been configured with conservative assumptions. We simulate the reality by combining two chemistry transport models (CTMs): the LOng Term Ozone Simulation - EURopean Operational Smog (LOTOS-EUROS) and the Transport Model version 5 (TM5). The assimilation system is based on a different CTM, the MOdele de Chimie Atmospherique a Grande Echelle (MOCAGE), combined with the 3-D variational technique. The background error covariance matrix does not evolve in time and its variance is proportional to the field values. The simulated data are formed of six eigenvectors to minimize the size of the dataset by removing the noise-dominated part of the observations. The results show that the satellite data clearly bring direct added value around 200 hPa for the whole assimilation period and for the whole European domain, while a likely indirect added value is identified but not for the whole period and domain at 500 hPa, and to a lower extent at 700 hPa. In addition, the ozone added value from Sentinel-5P (LEO) appears close to that from Sentinel-4 (GEO) in the free troposphere (200-500 hPa) in our OSSE. The outcome of our study is a result of the OSSE design and the choice within each of the components of the system.nb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBenefit of ozone observations from Sentinel-5P and future Sentinel-4 missions on tropospheric compositionnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder© Author(s) 2020nb_NO
dc.source.pagenumber131-152nb_NO
dc.source.volume13nb_NO
dc.source.journalAtmospheric Measurement Techniquesnb_NO
dc.identifier.doi10.5194/amt-13-131-2020
dc.identifier.cristin1787438
dc.relation.projectESA - den europeiske romfartsorganisasjonen: 40000105743/11/NL/AFnb_NO
cristin.unitcode7460,54,0,0
cristin.unitnameBy og industri
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal