Using HydroGeoSphere in a forested catchment: How does spatial resolution influence the simulation of spatio-temporal soil moisture variability?

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Title:Main Title: Using HydroGeoSphere in a forested catchment: How does spatial resolution influence the simulation of spatio-temporal soil moisture variability?
Description:Abstract: Soil moisture is a key variable in the soil-plant-atmosphere system because it interacts with various system components. Both the measurement and the simulation of the soil moisture pattern and its spatio-temporal variability are current challenges in hydrology. This study applies the model HydroGeoSphere in a natural forest ecosystem to assess whether the model can simulate the spatio-temporal variability and pattern of soil moisture. The assessment is performed by comparing the simulation results with soil moisture measurements. The model is used at two different model resolutions to reveal the scale dependency of the calibrated model parameters, the water balance, the discharge components, and the spatial distribution of soil moisture and its variogram parameters. Discharge simulation results show that the model is capable of reproducing the discharge characteristics. A weak correlation is found between simulated and measured soil moisture dynamics in the topsoil, but the correlation is stronger in 20 cm depth. In 50 cm depth, the model is able to simulate the seasonal trend but not the short-term dynamics because preferential flow is not simulated. Furthermore, a decrease in soil moisture variance during continued drying is observed for both simulations and the measurements at both resolutions. In addition, the pattern of measured soil moisture shows a patchy character that does not show in the simulated pattern indicating that using uniform soil properties in the topsoil makes the soil moisture simulation inaccurate.
Identifier:10.1016/j.proenv.2013.06.022 (DOI)
Responsible Party
Creators:Thomas Cornelissen (Author), Bernd Diekkrüger (Author), Heye Bogena (Author)
Publisher:Elsevier
Publication Year:2013
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Filename:2013_Cornelissen_NSG.pdf
Data Type:Text - Article
Size:10 Pages
File Size:776 KB
Date:Available: 24.07.2013
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:[TR32DB] Data policy agreement
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Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Procedia Environmental Sciences
Volume:19
Number of Pages:10 (198 - 207)
Metadata Details
Metadata Creator:Thomas Cornelissen
Metadata Created:02.12.2013
Metadata Last Updated:02.12.2013
Subproject:C1
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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