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dc.contributor.authorInoue, M.
dc.contributor.authorMorino, I.
dc.contributor.authorUchino, O.
dc.contributor.authorNakatsuru, T.
dc.contributor.authorYoshida, Y.
dc.contributor.authorYokota, T.
dc.contributor.authorWunch, D.
dc.contributor.authorWennberg, P.O.
dc.contributor.authorRoehl, C.M.
dc.contributor.authorGriffith, D.W.T.
dc.contributor.authorVelazco, V.A.
dc.contributor.authorDeutscher, N.M.
dc.contributor.authorWarneke, T.
dc.contributor.authorNotholt, J.
dc.contributor.authorRobinson, J.
dc.contributor.authorSherlock, V.
dc.contributor.authorHase, F.
dc.contributor.authorBlumenstock, T.
dc.contributor.authorRettinger, M.
dc.contributor.authorSussmann, R.
dc.contributor.authorKyrö, E.
dc.contributor.authorKivi, R.
dc.contributor.authorShiomi, K.
dc.contributor.authorKawakami, S.
dc.contributor.authorDe Mazière, M.
dc.contributor.authorArnold, S.G.
dc.contributor.authorFeist, D.G.
dc.contributor.authorBarrow, E.A.
dc.contributor.authorBarney, J.
dc.contributor.authorDubey, M.
dc.contributor.authorSchneider, M.
dc.contributor.authorIraci, L.T.
dc.contributor.authorPodolske, J.R.
dc.contributor.authorHillyard, P.W.
dc.contributor.authorMachida, T.
dc.contributor.authorSawa, Y.
dc.contributor.authorTsuboi, K.
dc.contributor.authorMatsueda, H.
dc.contributor.authorSweeney, C.
dc.contributor.authorTans, P.P.
dc.contributor.authorAndrews, A.E.
dc.contributor.authorBiraud, S.C.
dc.contributor.authorFukuyama, Y.
dc.contributor.authorPittman, J.V.
dc.contributor.authorKort, E.A.
dc.contributor.authorTanaka, T.
dc.date2016
dc.date.accessioned2016-08-23T10:29:30Z
dc.date.available2016-08-23T10:29:30Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/4265
dc.descriptionWe describe a method for removing systematic biases of column-averaged dry air mole fractions of CO2 (XCO2) and CH4 (XCH4) derived from short-wavelength infrared (SWIR) spectra of the Greenhouse gases Observing SATellite (GOSAT). We conduct correlation analyses between the GOSAT biases and simultaneously retrieved auxiliary parameters. We use these correlations to bias correct the GOSAT data, removing these spurious correlations. Data from the Total Carbon Column Observing Network (TCCON) were used as reference values for this regression analysis. To evaluate the effectiveness of this correction method, the tnzuncorrected/corrected GOSAT data were compared to independent XCO2 and XCH4 data derived from aircraft measurements taken for the Comprehensive Observation Network for TRace gases by AIrLiner (CONTRAIL) project, the National Oceanic and Atmospheric Administration (NOAA), the US Department of Energy (DOE), the National Institute for Environmental Studies (NIES), the Japan Meteorological Agency (JMA), the HIAPER Pole-to-Pole observations (HIPPO) program, and the GOSAT validation aircraft observation campaign over Japan. These comparisons demonstrate that the empirically derived bias correction improves the agreement between GOSAT XCO2/XCH4 and the aircraft data. Finally, we present spatial distributions and temporal variations of the derived GOSAT biases.
dc.languageeng
dc.titleBias corrections of GOSAT SWIR XCO2 and XCH4 with TCCON data and their evaluation using aircraft measurement data
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.source.titleAtmospheric Measurement Techniques
dc.source.volume9
dc.source.issue8
dc.source.page3491-3512
Orfeo.peerreviewedYes
dc.identifier.doi10.5194/amt-9-3491-2016
dc.identifier.scopus2-s2.0-84980465864


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