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:
Discrepancies of the amplitudes of the δD tape recorder between MIPAS and other data can be resolved by applying MIPAS averaging kernels
The figure shows the δD tape recorder in terms of amplitude (left) and phase (right), as measured by MIPAS (red), modelled by EMAC (black), and EMAC results with MIPAS averaging kernels applied (grey). The original large discrepancy in the amplitudes (black versus red) disappears almost completely (grey versus red) after application of the MIPAS averaging kernels. The phase of the taperecorder, expressed as the month of the seasonal maximum, agrees also better after application of the averaging kernels.
Figure from https://doi.org/10.5194/amt-2019-309