An optimal estimation-based retrieval of upper atmospheric oxygen airglow and temperature from SCIAMACHY limb observations

Abstract

An optimal estimation-based algorithm is developed to retrieve the number density of excited oxygen (O2) molecules that generate airglow emissions near 0.76gμm (b1ςg+ or A band) and 1.27gμm (a1δg or 1δ band) in the upper atmosphere. Both oxygen bands are important for the remote sensing of greenhouse gases. The algorithm is applied to the limb spectra observed by the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) instrument in both the nominal (tangent heights below g1/4g90gkm) and mesosphere-lower thermosphere (MLT) modes (tangent heights spanning 50-150gkm). The number densities of emitting O2 in the a1δg band are retrieved in an altitude range of 25-100gkm near-daily in 2010, providing a climatology of O2 a1δg-band airglow emission. This climatology will help disentangle the airglow from backscattered light in nadir remote sensing of the a1δg band. The global monthly distributions of the vertical column density of emitting O2 in a1δg state show mainly latitudinal dependence without other discernible geographical patterns. Temperature profiles are retrieved simultaneously from the spectral shapes of the a1δg-band airglow emission in the nominal limb mode (valid altitude range of 40-100gkm) and from both a1δg-and b1ςg+-band airglow emissions in the MLT mode (valid range of 60-105gkm). The temperature retrievals from both airglow bands are consistent internally and in agreement with independent observations from the Atmospheric Chemistry Experiment Fourier transform spectrometer (ACE-FTS) and the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), with the absolute mean bias near or below 5gK and root mean squared error (RMSE) near or below 10gK. The retrieved emitting O2 number density and temperature provide a unique dataset for the remote sensing of greenhouse gases and constraining the chemical and physical processes in the upper atmosphere.