Predicting subgrid variability of soil water content from basic soil information

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Title:Main Title: Predicting subgrid variability of soil water content from basic soil information
Description:Abstract: Knowledge of unresolved soil water content variability within model grid cells (i.e., subgrid variability) is impor tant for accurate predic tions of land-surface energy and hydrologic fluxes. Here we derived a closed-form expression to describe how soil water content variability depends on mean soil water content (σθ(<θ>)) using stochastic analysis of 1-D unsaturat ed gravitational flow based on the van Genuchten-Mualem (VGM) model. A sensitivity analysis showed that the n parameter strongly influenced both the shape and magnitude of the maximum of σθ(<θ>). The closed- form express ion was used to predict σθ(<θ>) f or eight data sets with varying soil tex ture using VGM parameters obtained from pedotransfer f unctions that rely on available soil information. Generally, there was good agreement between obser ved and predicted σθ(<θ>) despite the obvious simplifications that were used to derive the closed-form expression. Fur thermore, the novel clos ed-form expression was successfully used to inversely estimate the variability of hydraulic proper ties from obser ved σθ(<θ>) data.
Identifier:10.1002/ 2014GL062496 (DOI)
Citation Advice:Qu, W., H. R. Bogena, J. A. Huisman, J. Vanderborght, M. Schuh, E. Priesack, and H. Vereecken (2015), Predicting subgrid variability of soil water content from basic soil information, Geophys. Res. Lett., 42, 789–796, doi:10.1002/2014GL062496.
Responsible Party
Creators:Wie Qu (Author), Heye Bogena (Author), Johan A. Huisman (Author), Jan Vanderborght (Author), Max Schuh (Author), Erwin Priesack (Author), Harry Vereecken (Author)
Publisher:AGU Publications
Publication Year:2017
Topic
TR32 Topic:Soil
Related Subproject:C1
Subject:Keyword: Hydrological Modelling
File Details
Filename:Qu2015.pdf
Data Type:Text - Article
File Size:495 KB
Date:Available: 11.01.2015
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Geophysical Research Letters
Number of Pages:8 (789 - 796)
Metadata Details
Metadata Creator:Michael Stockinger
Metadata Created:30.05.2017
Metadata Last Updated:30.05.2017
Subproject:C1
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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