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ULIRS, an optimal estimation retrieval scheme for carbon monoxide using IASI spectral radiances: sensitivity analysis, error budget and simulations

Illingworth, SM; Remedios, John J; Boesch, H; Moore, David P; Sembhi, H; Dudhia, A; Walker, Joanne C


John J Remedios

H Boesch

David P Moore

H Sembhi

A Dudhia

Joanne C Walker


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.

Journal Article Type Article
Acceptance Date Feb 2, 2011
Online Publication Date Feb 11, 2011
Publication Date 2011
Deposit Date Feb 15, 2021
Publicly Available Date Feb 16, 2021
Journal Atmospheric Measurement Techniques
Print ISSN 1867-1381
Publisher European Geosciences Union
Peer Reviewed Peer Reviewed
Volume 4
Pages 269-288
Public URL


ULIRS, An Optimal Estimation Retrieval Scheme For Carbon Monoxide Using IASI Spectral Radiances: Sensitivity Analysis, Error Budget And Simulations (3.2 Mb)

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Copyright Statement
© Author(s) 2011. This work is distributed under the Creative Commons Attribution 3.0 License.

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