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dc.contributor.authorVandenbussche, S.
dc.contributor.authorLangerock, B.
dc.contributor.authorVigouroux, C.
dc.contributor.authorBuschmann, M.
dc.contributor.authorDeutscher, N.M.
dc.contributor.authorFeist, D.G.
dc.contributor.authorGarcía, O.
dc.contributor.authorHannigan, J.W.
dc.contributor.authorHase, F.
dc.contributor.authorKivi, R.
dc.contributor.authorKumps, N.
dc.contributor.authorMakarova, M.
dc.contributor.authorMillet, D.B.
dc.contributor.authorMorino, I.
dc.contributor.authorNagahama, T.
dc.contributor.authorNotholt, J.
dc.contributor.authorOhyama, H.
dc.contributor.authorOrtega, I.
dc.contributor.authorPetri, C.
dc.contributor.authorRettinger, M.
dc.contributor.authorSchneider, M.
dc.contributor.authorServais, C.P.
dc.contributor.authorSha, M.K.
dc.contributor.authorShiomi, K.
dc.contributor.authorSmale, D.
dc.contributor.authorStrong, K.
dc.contributor.authorSussmann, R.
dc.contributor.authorTé, Y.
dc.contributor.authorVelazco, V.A.
dc.contributor.authorVrekoussis, M.
dc.contributor.authorWarneke, T.
dc.contributor.authorWells, K.C.
dc.contributor.authorWunch, D.
dc.contributor.authorZhou, M.
dc.contributor.authorDe Mazière, M.
dc.date2022
dc.date.accessioned2022-04-12T09:17:48Z
dc.date.available2022-04-12T09:17:48Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/9900
dc.descriptionNitrous oxide (N2O) is the third most abundant anthropogenous greenhouse gas (after carbon dioxide and methane), with a long atmospheric lifetime and a continuously increasing concentration due to human activities, making it an important gas to monitor. In this work, we present a new method to retrieve N2O concentration profiles (with up to two degrees of freedom) from each cloud-free satellite observation by the Infrared Atmospheric Sounding Interferometer (IASI), using spectral micro-windows in the N2O ν3 band, the Radiative Transfer for TOVS (RTTOV) tools and the Tikhonov regularization scheme. A time series of ten years (2011–2020) of IASI N2O profiles and integrated partial columns has been produced and validated with collocated ground-based Network for the Detection of Atmospheric Composition Change (NDACC) and Total Carbon Column Observing Network (TCCON) data. The importance of consistency in the ancillary data used for the retrieval for generating consistent time series has been demonstrated. The Nitrous Oxide Profiling from Infrared Radiances (NOPIR) N2O partial columns are of very good quality, with a positive bias of 1.8 to 4% with respect to the ground-based data, which is less than the sum of uncertainties of the compared values. At high latitudes, the comparisons are a bit worse, due to either a known bias in the ground-based data, or to a higher uncertainty in both ground-based and satellite retrievals.
dc.languageeng
dc.titleNitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeIASI
dc.subject.freenitrous oxide
dc.subject.freegreenhouse gas
dc.subject.freeretrieval
dc.subject.freevalidation
dc.source.titleRemote Sensing
dc.source.volume14
dc.source.issue8
dc.source.pageA1810
Orfeo.peerreviewedYes
dc.identifier.doi10.3390/rs14081810
dc.identifier.scopus


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