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Titel |
Multilevel and multiscale drought reanalysis over France with the Safran-Isba-Modcou hydrometeorological suite |
VerfasserIn |
J.-P. Vidal, E. Martin, L. Franchistéguy, F. Habets, J.-M. Soubeyroux, M. Blanchard, M. Baillon |
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 ; 14, no. 3 ; Nr. 14, no. 3 (2010-03-09), S.459-478 |
Datensatznummer |
250012221
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Publikation (Nr.) |
copernicus.org/hess-14-459-2010.pdf |
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Zusammenfassung |
Physically-based droughts can be defined as a water deficit in at least one
component of the land surface hydrological cycle. The reliance of different
activity domains (water supply, irrigation, hydropower, etc.) on specific
components of this cycle requires drought monitoring to be based on indices
related to meteorological, agricultural, and hydrological droughts. This
paper describes a high-resolution retrospective analysis of such droughts in
France over the last fifty years, based on the Safran-Isba-Modcou (SIM)
hydrometeorological suite. The high-resolution 1958–2008 Safran atmospheric
reanalysis was used to force the Isba land surface scheme and the
hydrogeological model Modcou. Meteorological droughts are characterized with
the Standardized Precipitation Index (SPI) at time scales varying from 1 to
24 months. Similar standardizing methods were applied to soil moisture and
streamflow for identifying multiscale agricultural droughts – through the
Standardized Soil Wetness Index (SSWI) – and multiscale hydrological
droughts, through the Standardized Flow Index (SFI). Based on a common
threshold level for all indices, drought event statistics over the 50-yr
period – number of events, duration, severity and magnitude – have been
derived locally in order to highlight regional differences at multiple time
scales and at multiple levels of the hydrological cycle (precipitation, soil
moisture, streamflow). Results show a substantial variety of temporal drought
patterns over the country that are highly dependent on both the variable and
time scale considered. Independent spatio-temporal drought events have then
been identified and described by combining local characteristics with the
evolution of area under drought. Summary statistics have finally been used to
compare past severe drought events, from multi-year precipitation deficits
(1989–1990) to short hot and dry periods (2003). Results show that the
ranking of drought events depends highly on both the time scale and the
variable considered. This multilevel and multiscale drought climatology will
serve as a basis for assessing the impacts of climate change on droughts in
France. |
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