GOMOS data characterisation and error estimation
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Authors
Tamminen, J.
Kyrölä, E.
Sofieva, V.F.
Laine, M.
Bertaux, J.-L.
Hauchecorne, A.
Dalaudier, F.
Fussen, D.
Vanhellemont, F.
Fanton-D'Andon, O.
Barrot, G.
Mangin, A.
Guirlet, M.
Blanot, L.
Fehr, T.
De Miguel, L.S.
Fraisse, R.
Discipline
Earth and related Environmental sciences
Subject
accuracy assessment
aerosol
atmospheric chemistry
data inversion
error analysis
estimation method
GOME
nitrate
nitrogen dioxide
numerical model
ozone
stratosphere
trace gas
uncertainty analysis
Audience
Scientific
Date
2010Metadata
Show full item recordDescription
The Global Ozone Monitoring by Occultation of Stars (GOMOS) instrument uses stellar occultation technique for monitoring ozone, other trace gases and aerosols in the stratosphere and mesosphere. The self-calibrating measurement principle of GOMOS together with a relatively simple data retrieval where only minimal use of a priori data is required provides excellent possibilities for long-term monitoring of atmospheric composition. GOMOS uses about 180 of the brightest stars as its light source. Depending on the individual spectral characteristics of the stars, the signal-to-noise ratio of GOMOS varies from star to star, resulting also in varying accuracy of retrieved profiles. We present here an overview of the GOMOS data characterisation and error estimation, including modeling errors, for O3, NO2, NO3, and aerosol profiles. The retrieval error (precision) of night-time measurements in the stratosphere is typically 0.5-4% for ozone, about 10-20% for NO2, 20-40% for NO3 and 2-50% for aerosols. Mesospheric O3, up to 100 km, can be measured with 2-10% precision. The main sources of the modeling error are incompletely corrected scintillation, inaccurate aerosol modeling, uncertainties in cross sections of trace gases and in atmospheric temperature. The sampling resolution of GOMOS varies depending on the measurement geometry. In the data inversion a Tikhonov-type regularization with pre-defined target resolution requirement is applied leading to 2-3 km vertical resolution for ozone and 4 km resolution for other trace gases and aerosols.
Citation
Tamminen, J.; Kyrölä, E.; Sofieva, V.F.; Laine, M.; Bertaux, J.-L.; Hauchecorne, A.; Dalaudier, F.; Fussen, D.; Vanhellemont, F.; Fanton-D'Andon, O.; Barrot, G.; Mangin, A.; Guirlet, M.; Blanot, L.; Fehr, T.; De Miguel, L.S.; Fraisse, R. (2010). GOMOS data characterisation and error estimation. , Atmospheric Chemistry and Physics, Vol. 10, Issue 19, 9505-9519, DOI: 10.5194/acp-10-9505-2010.Identifiers
scopus: 2-s2.0-77957965836
Type
Article
Peer-Review
Yes
Language
eng