Preprints
https://doi.org/10.5194/amtd-4-3787-2011
https://doi.org/10.5194/amtd-4-3787-2011

  16 Jun 2011

16 Jun 2011

Review status: this preprint has been withdrawn by the authors.

High-resolution air quality monitoring from space: a fast retrieval scheme for CO from hyperspectral infrared measurements

N. Smith1,2, H.-L. Huang1, E. Weisz1, H. J. Annegarn2, and R. B. Pierce3 N. Smith et al.
  • 1Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Wisconsin, USA
  • 2Department of Geography, Environmental Management and Energy Studies, University of Johannesburg, Johannesburg, South Africa
  • 3NOAA National Environmental Satellite, Data, and Information Service (NESDIS) Center for Satellite Applications and Research (STAR), Wisconsin, USA

Abstract. The first results of the Fast Linear Inversion Trace gas System (FLITS) retrieval scheme are presented here for CO from IASI (Infrared Atmospheric Sounding Interferometer) measurements using RAQMS (Real time Air Quality Modelling System) as atmospheric background. FLITS is a simple linear inversion scheme with a stable performance that retrieves total column CO concentrations (molec cm−2) at single field-of-view (FOV) irrespective of cloud cover. A case study is presented here for a biomass burning plume over the Pacific on 29 March 2010. For each FOV a single tropospheric CO density, vertically integrated over 200–800 hPa, is retrieved with 12 channels in the spectral range 2050–2225 cm−1. Despite variations in cloud cover and temperature, the degrees of freedom for signal (DFS) of the solution ranges between 0.8 and 0.95. In addition, the retrieval error is at least half the background error of 10 %, with dominant contribution from uncertainty in the measurement and temperature. With its stability and processing speed, FLITS meet two of the key requirements for operational processing. We conclude that the linear combination of space-borne measurements with a chemical transport model in the FLITS retrieval scheme holds potential for real-time air quality monitoring and evaluation of pollutant transport at high spatial resolution.

This preprint has been withdrawn.

N. Smith et al.

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Interactive discussion

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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N. Smith et al.

N. Smith et al.

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This preprint has been withdrawn.