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| Titel |
Spatial mapping of ground-based observations of total ozone |
| VerfasserIn |
K.-L. Chang, S. Guillas, V. E. Fioletov |
| 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 (2015-10-23), S.4487-4505 |
| Datensatznummer |
250116650
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| Publikation (Nr.) |
 copernicus.org/amt-8-4487-2015.pdf |
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| Zusammenfassung |
| Total column ozone variations estimated using ground-based stations
provide important independent source of information in addition to
satellite-based estimates. This estimation has been vigorously
challenged by data inhomogeneity in time and by the irregularity of
the spatial distribution of stations, as well as by interruptions in
observation records. Furthermore, some stations have calibration
issues and thus observations may drift. In this paper we compare the
spatial interpolation of ozone levels using the novel stochastic
partial differential equation (SPDE) approach with the covariance-based kriging. We show
how these new spatial predictions are more accurate, less uncertain
and more robust. We construct long-term zonal means to investigate
the robustness against the absence of measurements at some stations
as well as instruments drifts. We conclude that time series analyzes
can benefit from the SPDE approach compared to the covariance-based kriging when stations
are missing, but the positive impact of the technique is less
pronounced in the case of drifts. |
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