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000858696 0247_ $$2ISSN$$a1866-1793
000858696 020__ $$a978-3-95806-372-3
000858696 037__ $$aFZJ-2018-07541
000858696 1001_ $$0P:(DE-Juel1)145813$$aGebler, Sebastian$$b0$$eCorresponding author$$gmale$$ufzj
000858696 245__ $$aInverse conditioning of a high resolution integrated terrestrial model at the hillslope scale: the role of input data quality and model structural errors$$f- 2017-12-20
000858696 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2018
000858696 300__ $$axxii, 160 S.
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000858696 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v444
000858696 502__ $$aRWTH Aachen, Diss., 2017$$bDr.$$cRWTH Aachen$$d2017
000858696 520__ $$aUnderstanding the soil-vegetation-atmosphere continuum is essential to improve hydrological model predictions. Particularly the characterization and prediction of the spatio-temporal variability of soil water content (SWC) and its controlling factors are of high interest for many geoscientific fields, since these patterns influence for example the rainfall-runoff response and the partitioning of the net radiation into latent and sensible heat fluxes while interacting with the vegetation cover. Within this context, this PhD thesis explores the degree of model complexity that is necessary to adequately represent heterogeneous subsurface processes, and the benefit of merging soil moisture data with an integrated terrestrial model. This includes an uncertainty analysis of model forcing (i.e. precipitation) and evaluation data (actual evapotranspiration). On this account, the fully coupled land surface-subsurface model ParFlow-CLM, which is part of the terrestrial system modeling platform (TerrSysMP), was applied to the 38 ha Rollesbroich headwater catchment located in the Eifel (Germany). Detailed long-term data for model setup, calibration, and evaluation were provided by the TERENO infrastructure initiative, the North Rhine-Westphalian State Environment Agency, and the Transregional Collaborative Research Center 32. It was expected that this combination of process orientated model and extensive observation data contributes to the understanding of the complex processes of the energy and water cycle at the hillslope, the elementary unit for the runoff generation process. [...]
000858696 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
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