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A Comparison of methane data products from Chemistry Transport Models, SCIAMACHY and a quasi-global network of FTIR stations

Bart Dils(1), M. De Mazière(1), C. Vigouroux(1), F. Forster(2), R. Sussmann(2), T. Borsdorff(2), P. Bousquet(3), T. Blumenstock(4), M. Buchwitz(5), S. Dalsoren(6), P. Demoulin(7), P. Duchatelet(7), C. Frankenberg(8), J. Hannigan(9), F. Hase(4), I. Isaksen(6), N. Jones(10), J. Klyft(11), I. Kramer(4), E. Mahieu(7), J. Mellqvist(11), L. Neef(12), J. Notholt(5), K. Petersen(5), I. Pison(3), O. Schneising(5), A. Strandberg(11), K. Strong(13), S. Szopa(3), J. Taylor(13), P. van Velthoven(12), M. van Weele(12), S. Wood(14) and M. Coffey(9)

(1) Belgian Institute for Space Aeronomy, BIRA-IASB, Ringlaan 3, 1180 Brussels, Belgium
(2) Research Center Karlsruhe, IMK-IFU, , Garmisch-Partenkirchen, Germany
(3) LSCE, , , France
(4) Research Center Karlsruhe, IMK-ASF, , Karlsruhe, Germany
(5) University of Bremen, Department of Physics, , Bremen, Germany
(6) University of Oslo, , Oslo, Norway
(7) University of Liège, , Liège, Belgium
(8) Netherlands institute for Space Research (SRON), , Utrecht, Netherlands
(9) National Center for Atmospheric Research (NCAR), , Boulder, Colorado, United States
(10) School of Chemistry, University of Wollongong, , Wollongong, Australia
(11) Chalmers University of Technology, , Göteborg, Sweden
(12) Royal Netherlands Meteorological Institute (KNMI), , De Bilt, Netherlands
(13) University of Toronto, , Toronto, Ontario, Canada
(14) Nat Institute of Water and Atmospheric Research, , Lauder, New Zealand


In the framework of the EU project HYMN, the Methane output of several Eulerian Chemistry Transport Models has been validated for the year 2004 with a quasi-global harmonized FTIR dataset. The FTIR network harmonization eliminates any station to station biases resulting from different retrieval parameter options such as microwindow and a-priori profile selection. The models in question are TM4 developed at the Royal Netherlands Meteorological Institute (KNMI), LMDz-INCA (Laboratoire des Sciences du Climat et l'Environnement (LSCE)) and CTM from the University of Oslo. We will also take a look at the current WFM-DOAS and IMAP-DOAS SCIAMACHY CH4 scientific products at the same FTIR sites, enabling a complete cross-reference between the models and both remote sensing applications.