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| Titel |
A critical assessment of the JULES land surface model hydrology for humid tropical environments |
| VerfasserIn |
Z. Zulkafli, W. Buytaert, C. Onof, W. Lavado, J. L. Guyot |
| 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 ; 17, no. 3 ; Nr. 17, no. 3 (2013-03-14), S.1113-1132 |
| Datensatznummer |
250018827
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| Publikation (Nr.) |
 copernicus.org/hess-17-1113-2013.pdf |
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| Zusammenfassung |
| Global land surface models (LSMs) such as the Joint UK Land
Environment Simulator (JULES) are originally developed to provide
surface boundary conditions for climate models. They are
increasingly used for hydrological simulation, for instance to
simulate the impacts of land use changes and other perturbations on
the water cycle. This study investigates how well such models
represent the major hydrological fluxes at the relevant spatial and
temporal scales – an important question for reliable model
applications in poorly understood, data-scarce environments. The
JULES-LSM is implemented in a 360 000 km2 humid tropical
mountain basin of the Peruvian Andes–Amazon at 12-km grid
resolution, forced with daily satellite and climate reanalysis
data. The simulations are evaluated using conventional
discharge-based evaluation methods, and by further comparing the
magnitude and internal variability of the basin surface fluxes such
as evapotranspiration, throughfall, and surface and subsurface
runoff of the model with those observed in similar environments
elsewhere. We find reasonably positive model efficiencies and high
correlations between the simulated and observed streamflows, but
high root-mean-square errors affecting the performance in smaller,
upper sub-basins. We attribute this to errors in the water balance
and JULES-LSM's inability to model baseflow. We also found
a tendency to under-represent the high evapotranspiration rates of
the region. We conclude that strategies to improve the
representation of tropical systems to be (1) addressing errors in
the forcing and (2) incorporating local wetland and regional floodplain
in the subsurface representation. |
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