Book/Dissertation / PhD Thesis

FZJ-2018-07541

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Inverse conditioning of a high resolution integrated terrestrial model at the hillslope scale: the role of input data quality and model structural errors

Gebler, S. (Corresponding author)FZJ*

2018
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag Jülich
ISBN: 978-3-95806-372-3

Please use a persistent id in citations: http://hdl.handle.net/2128/21112  urn:nbn:de:0001-2019020503

Abstract: Understanding 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. [...]

Note: RWTH Aachen, Diss., 2017

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2018

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