igh-quality observations have indicated the need for improved molecular spectroscopyfor accurate atmospheric characterization. Line data provided by the new SEOM-IAS (ScientificExploitation of Operational Missions – Improved Atmospheric Spectroscopy) database in theshortwave infrared (SWIR) region were used to retrieve CO total vertical columns from a selected setof nadir SCIAMACHY (SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY)observations. In order to assess the quality of the retrieval results, differences in the spectral fittingresiduals with respect to the HITRAN2016 (HIgh-resolution TRANsmission molecular absorption)and GEISA 2015 (Gestion et Etude des Informations Spectroscopiques Atmosphériques) line lists werequantified and column-averaged dry-air CO mole fractions were compared to NDACC (Network forthe Detection of Atmospheric Composition Change) and TCCON (Total Carbon Column ObservingNetwork) ground-based measurements. In general, it was found that using SEOM-IAS line datawith corresponding line models improve the spectral quality of the retrieval (smaller residuals) andincrease the fitted CO columns, thereby reducing the bias to both ground-based networks.