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| Titel |
Global trend analysis of the MODIS drought severity index |
| VerfasserIn |
P. I. Orvos, V. Homonnai, A. Várai, Z. Bozóki, I. M. Jánosi |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2193-0856
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Instrumentation, Methods and Data Systems ; 4, no. 2 ; Nr. 4, no. 2 (2015-10-12), S.189-196 |
| Datensatznummer |
250115246
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| Publikation (Nr.) |
 copernicus.org/gi-4-189-2015.pdf |
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| Zusammenfassung |
| Recently, Mu et al. (2013) compiled an open access database of
a remotely sensed global drought severity index (DSI) based on MODIS (Moderate Resolution Imaging
Spectroradiometer)
satellite measurements covering a continuous period of 12 years. The highest
spatial resolution is 0.05° × 0.05° in the
geographic band between 60° S and 80° N latitudes (more than 4.9
million locations over land). Here we present a global trend analysis of these
satellite-based DSI time series in order to identify
geographic locations where either positive or negative trends are statistically
significant. Our main result is that 17.34 % of land areas
exhibit significant trends of drying or wetting, and these sites
constitute geographically connected regions. Since a DSI value conveys
local characterization at a given site,
we argue that usual field significance tests cannot provide more
information about the observations than the presented analysis.
The relatively short period of 12 years hinders linking the trends to global
climate change; however, we think that the observations might be related to slow
(decadal) modes of natural climate variability or anthropogenic impacts. |
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