Abstract

The impact of SEOM–IAS (Scientific Exploitation of Operational Missions–Improved Atmospheric Spectroscopy) spectroscopic information on CO columns from TROPOMI (Tropospheric Monitoring Instrument) shortwave infrared (SWIR) observations was examined. HITRAN 2016 (High Resolution Transmission) and GEISA 2015 (Gestion et Etude des Informations Spectroscopiques Atmosphériques 2015) were used as a reference upon which the spectral fitting residuals, retrieval errors and inferred quantities were assessed. It was found that SEOM–IAS significantly improves the quality of the CO retrieval by reducing the residuals to TROPOMI observations. The magnitude of the impact is dependent on the climatological region and spectroscopic reference used. The difference in the CO columns was found to be rather small, although discrepancies reveal, for selected scenes, in particular, for observations with elevated molecular concentrations. A brief comparison to Total Column Carbon Observing Network (TCCON) and Network for the Detection of Atmospheric Composition Change (NDACC) also demonstrated that both spectroscopies cause similar columns; however, the smaller retrieval errors in the SEOM with Speed-Dependent Rautian and line-Mixing (SDRM) inferred CO turned out to be beneficial in the comparison of post-processed mole fractions with ground-based references.

Highlights

  • Many species present in the atmosphere influence Earth’s radiative transfer by absorbing, emitting, and scattering electromagnetic energy at certain wavelengths [1]

  • We investigated the impact of the SEOM spectroscopy on the retrieved carbon monoxide (CO) from Tropospheric Monitoring Instrument (TROPOMI) shortwave infrared (SWIR) observations by comparing the spectral fitting residuals, deduced columns, and corresponding retrieval errors with the most recent releases of HITRAN 2016 (H16, High Resolution Transmission; [60]) and GEISA 2015 (G15, Gestion et Etude des Informations Spectroscopiques Atmosphériques 2015 [61])

  • The investigation was performed for a set of TROPOMI orbits in 2019 that cover various climatological regions, namely the Sahara, Central-Europe, Amazonia, and Siberia

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Summary

Introduction

Many species present in the atmosphere influence Earth’s radiative transfer by absorbing, emitting, and scattering electromagnetic energy at certain wavelengths [1]. Key elements in the global monitoring of relevant molecules are state-of-the-art passive remote sensors on satellites, which provide valuable spectroscopic measurements for many tropospheric and stratospheric constituents in near real time [2,3]. The Sentinel-5 Precursor (S5P) is the first satellite mission within the European Union’s (EU) Earth observation program Copernicus that is dedicated to the monitoring of atmospheric chemistry. S5P’s payload is the Tropospheric Monitoring Instrument (TROPOMI) was jointly developed by the Netherlands and the European Space Agency (ESA) and is building upon the heritage of its predecessors GOME (Global Ozone Monitoring Experiment; Burrows et al [5]), GOME-2 (Munro et al [6]), SCIAMACHY (SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY Bovensmann et al [7], Gottwald and Bovensmann [8]), and OMI (Ozone Monitoring Instrument Levelt et al [9])

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