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:
Upper tropospheric PAN distributions derived from MIPAS used for the first time within tropospheric transport studies under North Atlantic Oscillation (NAO) impact
The left figure shows the distribution of PAN from MIPAS, averaged between 200 and 100 hPa for 2002 - 2012, for different NAO phases (top), and the phase anomalies relative to the all wintertime (NDJF) average (bottom); left panels are wintertime averages for NAO+ phases, right panels for NAO- phases. The right figure is the same for TOMCAT CTM simulations for the years 2006 - 2015, including horizontal winds (arrows). While the absolute distributions (except for a bias) from TOMCAT and MIPAS agree very well, the differences to the wintertime mean differ which can be related to the different periods sampled.
(Figure from https://doi.org/10.5194/acp-18-8389-2018)