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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 7, issue 10
Atmos. Chem. Phys., 7, 2601-2615, 2007
https://doi.org/10.5194/acp-7-2601-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

Special issue: MIPAS (Michelson Interferometer for Passive Atmosphere Sounding):...

Atmos. Chem. Phys., 7, 2601-2615, 2007
https://doi.org/10.5194/acp-7-2601-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  16 May 2007

16 May 2007

HDO measurements with MIPAS

J. Steinwagner1,3, M. Milz1, T. von Clarmann1, N. Glatthor1, U. Grabowski1, M. Höpfner1, G. P. Stiller1, and T. Röckmann2,3 J. Steinwagner et al.
  • 1Institute for Meteorology and Climate Research, Research Center Karlsruhe, Germany
  • 2Institute for Marine and Atmospheric Research Utrecht, The Netherlands
  • 3Max Planck Institute for Nuclear Physics, Heidelberg, Germany

Abstract. We have used high spectral resolution spectroscopic measurements from the MIPAS instrument on the Envisat satellite to simultaneously retrieve vertical profiles of H2O and HDO in the stratosphere and uppermost troposphere. Variations in the deuterium content of water are expressed in the common δ notation, where δD is the deviation of the Deuterium/Hydrogen ratio in a sample from a standard isotope ratio. A thorough error analysis of the retrievals confirms that reliable δD data can be obtained up to an altitude of ~45 km. Averaging over multiple orbits and thus over longitudes further reduces the random part of the error. The absolute total error of averaged δD is between 36‰ and 111‰. With values lower than 42‰ the total random error is significantly smaller than the natural variability of δD. The data compare well with previous investigations. The MIPAS measurements now provide a unique global data set of high-quality δD data that will provide novel insight into the stratospheric water cycle.

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