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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/amt-2020-50
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-50
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  04 Mar 2020

04 Mar 2020

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A revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Recovery and validation of Odin/SMR long term measurements ofmesospheric carbon monoxide

Francesco Grieco1, Kristell Pérot1, Donal Murtagh1, Patrick Eriksson1, Peter Forkman1, Bengt Rydberg2, Bernd Funke3, Kaley A. Walker4, and Hugh C. Pumphrey5 Francesco Grieco et al.
  • 1Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, 412 96, Sweden
  • 2Molflow, Gråbo, 443 40, Sweden
  • 3Instituto de Astrofísica de Andalucía, CSIC, Granada, Spain
  • 4Department of Physics, University of Toronto, Toronto, M5S 1A7, ON, Canada
  • 5School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK

Abstract. The Sub-Millimetre Radiometer (SMR) on board the Odin satellite performs limb sounding measurements of the middle atmosphere to detect molecular emission from different species. Carbon monoxide (CO) is an important tracer of atmospheric dynamics at these altitudes, due to its long photochemical lifetime and high vertical concentration gradient. In this study, we have successfully recovered over 18 years of SMR observations, providing the only dataset to date being so extended in time and stretching out to the polar regions, with regards to satellite-measured mesospheric CO. This new dataset is part of the Odin/SMR version 3.0 level 2 data. The much of the level 1 dataset – except the October 2003 to October 2004 period – was affected by a malfunctioning of the Phase-Lock Loop (PLL) in the frontend used for CO observations. Because of this technical issue, the CO line could be shifted away from its normal frequency location causing the retrieval to fail or leading to an incorrect estimation of the CO concentration. An algorithm was developed to locate the CO line and shift it to its correct location. Nevertheless, another artifact causing an underestimation of the concentration, i.e. a line broadening, stemmed from the PLL malfunctioning. This was accounted for by using a broader response function. The application of these corrections resulted in the recovery of a large amount of data that was previously being flagged as problematic and therefore not processed. A validation study has been carried out, showing how SMR CO volume mixing ratios are in general in good accordance with the other instruments considered in the study. Overall, the agreement is very good between 60 and 80 km altitude, with relative differences close to zero. A positive bias at low altitudes (50–60 km) up to +20 % and a negative bias up to −20 % at high altitudes (80–100 km) were found with respect to the compared instruments.

Francesco Grieco et al.

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Francesco Grieco et al.

Francesco Grieco et al.

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Latest update: 23 Sep 2020
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Short summary
We present a unique – by time extension and geographical coverage – dataset of satellite observations of carbon monoxide (CO) in the mesosphere which will allow to study dynamical processes, since CO is a very good tracer of circulation in the mesosphere. Previously, the dataset was unusable due to instrumental artifacts that affected the measurements. We identify the cause of the artifacts, eliminate them and prove the quality of the results by comparing with other instruments measurements.
We present a unique – by time extension and geographical coverage – dataset of satellite...
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