Abstract
The high-resolution atmospheric spectra recorded by the Interferometric Monitor for Greenhouse gases instrument on the ADvanced Earth Observing System (IMG/ADEOS) in June, 1997, were analyzed by two different and complementary inversion algorithms to retrieve CO total columns. Spectral fits of high quality were obtained using a global fit algorithm on selected cloud-free measurements. Global distribution maps of CO obtained using a fast neural network retrieval algorithm are compared to the results provided by current chemistry-transport models. These studies highlight the need for complementary information (temperature, emissivity, instrumental function, and cloud content) to retrieve accurate CO vertical columns.
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