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

S. M. Illingworth, J. J. Remedios, H. Boesch, David P. Moore, H. Sembhi, A. Dudhia, Joanne C. Walker

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)269-288
Number of pages20
JournalAtmospheric Measurement Techniques
Volume4
Issue number2
DOIs
Publication statusPublished - 21 Feb 2011
Externally publishedYes

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