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| Titel |
Mapping of satellite Earth observations using moving window block kriging |
| VerfasserIn |
J. M. Tadić, X. Qiu, V. Yadav, A. M. Michalak |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 10 ; Nr. 8, no. 10 (2015-10-20), S.3311-3319 |
| Datensatznummer |
250116608
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| Publikation (Nr.) |
 copernicus.org/gmd-8-3311-2015.pdf |
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| Zusammenfassung |
Global gridded maps (a.k.a. Level 3 products) of Earth
system properties observed by satellites are central to understanding the
spatiotemporal variability of these properties. They also typically serve
either as inputs into biogeochemical models or as independent data for
evaluating such models. Spatial binning is a common method for generating
contiguous maps, but this approach results in a loss of information,
especially when the measurement noise is low relative to the degree of
spatiotemporal variability. Such "binned" fields typically also lack a
quantitative measure of uncertainty.
Geostatistical mapping has previously been shown to make higher
spatiotemporal resolution maps possible, and also provides a measure
uncertainty associated with the gridded products. This study proposes a
flexible moving window block kriging method that can be used as a tool for
creating high spatiotemporal resolution maps from satellite data. It relies
only on the assumption that the observed physical quantity exhibits spatial
correlation that can be inferred from the observations. The method has
several innovations relative to previously applied methods: (1) it provides
flexibility in the spatial resolution of the contiguous maps, (2) it is
applicable for physical quantities with varying spatiotemporal coverage
(i.e., density of measurements) by utilizing a more general and versatile
data sampling approach, and (3) it provides rigorous assessments of the
uncertainty associated with the gridded products. The method is demonstrated
by creating Level 3 products from observations of column-integrated carbon
dioxide (XCO2) from the GOSAT (Greenhouse Gases Observing Satellite) satellite, and solar induced fluorescence
(SIF) from the GOME-2 (Global Ozone Monitoring Experiment-2) instrument. |
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