Speaker
Dr
Alexei Rozanov
(University of Bremen)
Description
As one of a few scientific groups in the world dealing with the radiative transfer modeling and the interpretation of measurements of the scattered solar radiation in the limb viewing geometry, the science team at the University of Bremen has a comprehensive 30 years long experience in this field. During the preparation (1984-1990), pre-launch (1990-2002), operation (2002-2012), and post-operation (2012-) phases of the SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric CHartographY) mission, the GOMETRAN/SCIATRAN radiative transfer model was developed and extended to address all atmospheric effects relevant for modelling measurements of the scattered solar light in the limb viewing geometry. State of the art retrieval algorithms have been developed to obtain trace gas distributions (O$_3$, NO$_2$, BrO, OClO, H$_2$O, Na, Mg, Mg$^+$) as well as cloud and aerosol characteristics from limb scattering measurements.
Although the measurement principle and observation geometry of the ALTIUS mission are similar to those of SCIAMACHY, several significant differences in the measurements and their calibration (e.g. sparse wavelength sampling, a lack of an absolute radiometric calibration) require that they are specifically accounted for when transferring the retrieval approaches developed for SCIAMACHY observations to those of ALTIUS. Although the retrieval approach is generic, a thorough investigation is required to optimize the forward model and retrieval environment used when applying the SCIAMACHY inversion technique to different limb data. Such a transition has been successfully achieved and the data of OMPS are now used to retrieve vertical profiles of atmospheric constituents.
This presentation will focus on the potential application of the knowledge gained from the SCIAMACHY heritage for use in the retrieval of trace constituents within the ALTIUS mission. The most important issues specific for use with ALTIUS data with respect to the radiative transfer modeling and the retrieval strategy and their impact on data products will be addressed.
Primary author
Dr
Alexei Rozanov
(University of Bremen)
Co-authors
Prof.
John P. Burrows
(University of Bremen)
Dr
Vladimir Rozanov
(University of Bremen)
