Satellite-borne remote sensing of trace gases (SAT)
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, our radiative transfer model KOPRA, the team and our projects.
Highlight of the month:
V8 MIPAS IMK/IAA ozone retrievals
MIPAS IMK/IAA V8 ozone distribution for Envisat orbit 36319 on 20 February 2009 in the standard retrieval representation on the fine retrieval grid, where the vertical resolution is state- and thus time-dependent, and on the coarse retrieval grid, where the vertical resolution is defined by the vertical grid.
The new IMK/IAA MIPAS V8 ozone data set for the nominal measurement mode, derived from radiance measurements of the space-borne instrument MIPAS in the infrared, has been presented in AMT. It consists of more than 2 million single ozone profiles from 2002-2012, covering virtually all latitudes and altitudes between 5 and 70 km. Progress in data calibration and processing methods allowed for significant improvement of the data quality, compared to previous data versions. Specifically, the consistency has been improved between nominal and middle atmosphere measurement modes and between the high spectral resolution phase (2002-2004) and the reduced spectral resolution phase data (2005-2012). Hence, the data set will help to better understand e.g. the time evolution of ozone in the stratosphere.