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| Titel |
Canopy interception variability in changing climate |
| VerfasserIn |
Péter Kalicz, András Herceg, Balázs Kisfaludi, Péter Csáki, Zoltán Gribovszki |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250150430
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| Publikation (Nr.) |
 EGU/EGU2017-14894.pdf |
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| Zusammenfassung |
| Tree canopies play a rather important role in forest hydrology. They intercept significant
amounts of precipitation and evaporate back into the atmosphere during and after
precipitation event. This process determines the net intake of forest soils and so
important factor of hydrological processes in forested catchments. Average amount of
interception loss is determined by the storage capacity of tree canopies and the rainfall
distribution.
Canopy storage capacity depends on several factors. It shows strong correlation with the
leaf area index (LAI). Some equations are available to quantify this dependence. LAI shows
significant variability both spatial and temporal scale. There are several methods to derive
LAI from remote sensed data which helps to follow changes of it. In this study
MODIS sensor based LAI time series are used to estimate changes of the storage
capacity.
Rainfall distribution derived from the FORESEE database which is developed for
climate change related impact studies in the Carpathian Basin. It contains observation
based precipitation data for the past and uses bias correction method for the climate
projections.
In this study a site based estimation is outworked for the Sopron Hills area. Sopron Hills
is located at the eastern foothills of the Alps in Hungary. The study site, namely Hidegvíz
Valley experimental catchment, is located in the central valley of the Sopron Hills. Long-term
interception measurements are available in several forest sites in Hidegvíz Valley.
With the combination of the ground based observations, MODIS LAI datasets a
simple function is developed to describe the average yearly variations in canopy
storage. Interception measurements and the CREMAP evapotranspiration data help to
calibrate a simple interception loss equation based on Merriam’s work. Based on
these equation and the FORESEE bias corrected precipitation data an estimation is
outworked for better understanding of the feedback of forest crown on hydrological
cycle.
This research has been supported by the Agroclimate.2 VKSZ_12-1-2013-0034 project,
and the corresponding author’s work was also supported by the János Bolyai Scholarship of
the Hungarian Academy of Sciences. |
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