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| Titel |
Comparison of nitric oxide measurements in the mesosphere and lower thermosphere from ACE-FTS, MIPAS, SCIAMACHY, and SMR |
| VerfasserIn |
S. Bender, M. Sinnhuber, T. von Clarmann, G. Stiller, B. Funke, M. López-Puertas, J. Urban, K. Pérot, K. A. Walker, J. P. Burrows |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 10 ; Nr. 8, no. 10 (2015-10-12), S.4171-4195 |
| Datensatznummer |
250116632
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| Publikation (Nr.) |
 copernicus.org/amt-8-4171-2015.pdf |
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| Zusammenfassung |
We compare the nitric oxide measurements in the mesosphere and
lower thermosphere (60 to 150 km) from four instruments:
the Atmospheric Chemistry Experiment–Fourier Transform Spectrometer (ACE-FTS),
the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), the
SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY),
and the Sub-Millimetre Radiometer (SMR).
We use the daily zonal mean data in that altitude range for the
years 2004–2010 (ACE-FTS), 2005–2012 (MIPAS),
2008–2012 (SCIAMACHY), and 2003–2012 (SMR).
We first compare the data qualitatively with respect to the
morphology, focussing on the major features, and then
compare the time series directly and quantitatively.
In three geographical regions, we compare the vertical density profiles on
coincident measurement days. Since none of the instruments delivers continuous daily measurements in this
altitude region, we carried out a multi-linear regression analysis.
This regression analysis considers annual and semi-annual
variability in the form of harmonic terms and inter-annual variability by responding
linearly to the solar Lyman-α radiation index and the
geomagnetic Kp index.
This analysis helps to find similarities and differences
in the individual data sets with respect to the inter-annual
variations caused by geomagnetic and solar variability.
We find that the data sets are consistent and that they only
disagree on minor aspects. SMR and ACE-FTS deliver the
longest time series in the mesosphere, and they agree with each other remarkably well.
The shorter time series from MIPAS and SCIAMACHY also agree with
them where they overlap.
The data agree within 30 % when the number densities are large,
but they can differ by 50 to 100 % in some cases. |
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