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| Titel |
Hydrological response to different time scales of climatological drought: an evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin |
| VerfasserIn |
S. M. Vicente-Serrano, J. I. López-Moreno |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 9, no. 5 ; Nr. 9, no. 5 (2005-11-07), S.523-533 |
| Datensatznummer |
250007043
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| Publikation (Nr.) |
 copernicus.org/hess-9-523-2005.pdf |
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| Zusammenfassung |
| At present, the Standardized Precipitation Index (SPI) is
the most widely used drought index to provide good estimations about the
intensity, magnitude and spatial extent of droughts. The main advantage of
the SPI in comparison with other indices is the fact that the SPI enables
both determination of drought conditions at different time scales and
monitoring of different drought types. It is widely accepted that SPI time
scales affect different sub-systems in the hydrological cycle due to the
fact that the response of the different water usable sources to
precipitation shortages can be very different. The long time scales of SPI
are related to hydrological droughts (river flows and reservoir storages).
Nevertheless, few analyses empirically verify these statements or the
usefulness of the SPI time scales to monitor drought. In this paper, the SPI
at different time scales is compared with surface hydrological variables in
a big closed basin located in the central Spanish Pyrenees. We provide
evidence about the way in which the longer (>12 months) SPI time scales
may not be useful for drought quantification in this area. In general, the
surface flows respond to short SPI time scales whereas the reservoir
storages respond to longer time scales (7–10 months). Nevertheless,
important seasonal differences can be identified in the SPI-usable water
sources relationships. This suggests that it is necessary to test the
drought indices and time scales in relation to their usefulness for
monitoring different drought types under different environmental conditions
and water demand situations. |
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