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 between lower stratospheric water vapour time series from Boulder frost point hygrometer data, satellite measurements and model simulations remain unexplained
The figure shows the differences between the de-seasonalised water vapour time series obtained from the frost point hygrometer (FPH) observations at Boulder, and satellite measurements and model simulations at the location of Boulder, or for the zonal mean around the Boulder latitude, all at 70 hPa. Results labelled with the suffix (A) are adapted to the actual FPH observations at Boulder in terms of measurement time, while other data points are measurements/simulations averaged over a month, either within a 1000 km radius and 35-45oN, or for the 35-45oN zonal mean (the latter marked by "zonal"). The time ticks consider the middle of the specified years. The differences to the FPH data are similar for all satellite and model data sets. Given the extreme care in obtaining, controlling and characterizing the FPH measurements, the observed discrepancies are not yet understood. A possible explanation could be that the simulations and satellite observations underrepresent variability, or that the trend differences originate from smaller spatial and temporal scales than are resolved by the model simulations or satellite measurements (i.e. sub-grid processes).
(Figure from https://doi.org/10.5194/acp-18-8331-2018)