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001     819922
005     20210129224417.0
020 _ _ |a 978-3-95806-174-3
024 7 _ |2 Handle
|a 2128/12555
024 7 _ |2 ISSN
|a 1866-1793
037 _ _ |a FZJ-2016-05497
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)156360
|a Fang, Zhufeng
|b 0
|e Corresponding author
|u fzj
245 _ _ |a 3D hydrological simulation of a forested headwater catchment: Spatio-temporal validation and scale dependent parameterization
|f - 2016-10-20
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2016
300 _ _ |a XVII, 119 S.
336 7 _ |2 DataCite
|a Output Types/Dissertation
336 7 _ |2 ORCID
|a DISSERTATION
336 7 _ |2 BibTeX
|a PHDTHESIS
336 7 _ |0 2
|2 EndNote
|a Thesis
336 7 _ |0 PUB:(DE-HGF)11
|2 PUB:(DE-HGF)
|a Dissertation / PhD Thesis
|b phd
|m phd
|s 1477037012_16100
336 7 _ |2 DRIVER
|a doctoralThesis
490 0 _ |a Schriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment
|v 337
502 _ _ |a Universität Bonn, Diss., 2016
|b Dr.
|c Universität Bonn
|d 2016
520 _ _ |a Soil moisture plays a key role in the water and energy balance in soil, vegetation and atmosphere systems. There is a grand need to increase global-scale hyper-resolution water energy-biogeochemistry land surface modelling capabilities. High reliability simulation of soil water content using various kinds of numerical modeling tools has been studied in recent years. Multiple methods have been applied for more accurate parameterizations. Indistributed hydrological modelling one often faces the problem that input data need to be aggregated to match the model resolution. However, aggregated data may be too coarse for the parametrization of the processes represented. This dilemma can be circumvented by the adjustment of certain model parameters. Unfortunately, it is not clear how to parameterize hydrological processes as a function of scale, and how to test deterministic models with regard to epistemic uncertainties.
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