Research Output
ULIRS, an optimal estimation retrieval scheme for carbon monoxide using IASI spectral radiances: sensitivity analysis, error budget and simulations
  This paper presents a new retrieval scheme for tropospheric carbon monoxide (CO), using measured radiances from the Infrared Atmospheric Sounding Interferometer (IASI) onboard the MetOp-A satellite. The University of Leicester IASI Retrieval Scheme (ULIRS) is an optimal estimation retrieval scheme, which utilises equidistant pressure levels and a floating pressure grid based on topography. It makes use of explicit digital elevation and emissivity information, and incorporates a correction for solar surface reflection in the daytime with a high resolution solar spectrum. The retrieval scheme has been assessed through a formal error analysis, via the simulation of surface effects and by an application to real IASI data over a region in Southern Africa. The ULIRS enables the retrieval of between 1 and 2 pieces of information about the tropospheric CO vertical profiles, with peaks in the sensitivity at approximately 5 and 12 km. Typical errors for the African region relating to the profiles are found to be ~20% at 5 and 12 km, and on the total columns to range from 18 to 34%. Finally the performance of the ULIRS is shown for a range of simulated geophysical conditions.

  • Type:

    Article

  • Date:

    11 February 2011

  • Publication Status:

    Published

  • Publisher

    Copernicus GmbH

  • DOI:

    10.5194/amt-4-269-2011

  • ISSN:

    1867-1381

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Illingworth, S., Remedios, J. J., Boesch, H., Moore, D. P., Sembhi, H., Dudhia, A., & Walker, J. C. (2011). ULIRS, an optimal estimation retrieval scheme for carbon monoxide using IASI spectral radiances: sensitivity analysis, error budget and simulations. Atmospheric Measurement Techniques, 4, 269-288. https://doi.org/10.5194/amt-4-269-2011

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