We investigate the complex interaction of chemical and dynamical processes in the Earth's atmosphere on basis of distributions of trace gases, aerosols, clouds and temperature which we derive from spectral measurements of satellite remote sensing instruments. Our work field covers processing of satellite data and their validation, the research on physical and chemical processes in the atmosphere on the basis of the retrieved distributions of temperature, particles and trace gases, and the development and implementation of related satellite data analysis algorithms. The current focus of our work is the MIPAS-Envisat mission. The MIPAS satellite data derived by our group can be accessed here. Besides our work with MIPAS we are involved in the preparation of future space missions. On this website you find information about our publications, MIPAS-Envisat data, the annual MIPAS Data User Meeting, our radiative transfer model KOPRA, the team and our projects, as well as some pictures.
Highlight of the month:
Estimated ozone trends depend on the analysis method
Vertical profiles of ozone trends over Berne, measured with the GROMOS microwave radiometer. The profile plotted in blue represents the trend obtained with a direct analysis of the data. The brown curve shows trends based on an analysis where within the trend fit, a reduced weight was assigned to anomalies. Trends where an unknown bias between data subsets was considered by a fully correlated block in the data error covariance matrix are plotted in red. A trend analysis tool was used that was developed at IMK and which supports the use of the full data error covariance matrix. These investigations were recently published by Leonie Bernet and colleagues in ACP.
Figure from https://doi.org/10.5194/acp-19-4289-2019