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| Titel |
On sampling uncertainty of satellite ozone profile measurements |
| VerfasserIn |
V. F. Sofieva, N. Kalakoski, S.-M. Päivärinta, J. Tamminen, M. Laine, L. Froidevaux |
| 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 ; 7, no. 6 ; Nr. 7, no. 6 (2014-06-26), S.1891-1900 |
| Datensatznummer |
250115831
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| Publikation (Nr.) |
 copernicus.org/amt-7-1891-2014.pdf |
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| Zusammenfassung |
Satellite measurements sample continuous fields of atmospheric constituents
at discrete locations and times. However, insufficient or inhomogeneous
sampling, if not taken into account, can result in inaccurate average
estimates and even induce spurious features. We propose to characterize the
spatiotemporal inhomogeneity of atmospheric measurements by a measure,
which is a linear combination of the asymmetry and entropy of a sampling
distribution. It is shown that this measure is related to the so-called
sampling uncertainty, which occurs due to non-uniform sampling patterns.
We have estimated the sampling uncertainty of zonal mean ozone profiles for
six limb-viewing satellite instruments participating in the European Space
Agency Ozone Climate Change Initiative project using the high-resolution
ozone field simulated with the FinROSE chemistry-transport model. It is
shown that the sampling uncertainty for the instruments with coarse sampling
is not negligible and can be as large as a few percent. It is found that the
standard deviation of the sampling uncertainty in the monthly zonal mean
data allows for a simple parameterization in terms of the product of the
standard deviation of natural variations and the proposed inhomogeneity
measure. The sampling uncertainty estimates improve the uncertainty
quantification and can be used in comprehensive data analyses.
The focus of this work is the vertical ozone distributions measured by
limb-viewing satellite instruments, but the developed methods can also be
applied to different satellite, ground-based and in situ measurements. |
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