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Methane retrievals from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared measurements: Performance comparison of proxy and physics retrieval algorithms

  • D. Schepers
  • , S. Guerlet
  • , A. Butz
  • , J. Landgraf
  • , C. Frankenberg
  • , O. Hasekamp
  • , J. F. Blavier
  • , N. M. Deutscher
  • , D. W.T. Griffith
  • , F. Hase
  • , E. Kyro
  • , I. Morino
  • , V. Sherlock
  • , R. Sussmann
  • , I. Aben
  • SRON - Netherlands Institute for Space Research
  • Universität Karlsruhe/Forschungszentrum Karlsruhe
  • Science Division
  • Institute of Environmental Physics
  • University of Bremen
  • School of Chemistry
  • University of Wollongong
  • Arctic Research Center
  • Finnish Meteorological Institute
  • National Institute for Environmental Studies of Japan
  • NIWA
  • Institute of Meteorology and Climate Research

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

142 Citations (Scopus)

Résumé

We compare two conceptually different methods for determining methane column-averaged mixing ratios (XCH4) from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared (SWIR) measurements. These methods account differently for light scattering by aerosol and cirrus. The proxy method retrieves a CO2 column which, in conjunction with prior knowledge on CO2 acts as a proxy for scattering effects. The physics-based method accounts for scattering by retrieving three effective parameters of a scattering layer. Both retrievals are validated on a 19-month data set using ground-based XCH4 measurements at 12 stations of the Total Carbon Column Observing Network (TCCON), showing comparable performance: for the proxy retrieval we find station-dependent retrieval biases from -0.312% to 0.421% of XCH4 with a standard deviation of 0.22% and a typical precision of 17 ppb. The physics method shows biases between -0.836% and -0.081% with a standard deviation of 0.24% and a precision similar to the proxy method. Complementing this validation we compared both retrievals with simulated methane fields from a global chemistry-transport model. This identified shortcomings of both retrievals causing biases of up to 1ings and provide a satisfying validation of any methane retrieval from space-borne SWIR measurements, in our opinion it is essential to further expand the network of TCCON stations.

langue originaleAnglais
Numéro d'articleD10307
journalJournal of Geophysical Research Atmospheres
Volume117
Numéro de publication10
Les DOIs
étatPublié - 1 janv. 2012
Modification externeOui

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