[1668] - Predicting subgrid variability of soil water content from basic soil information

All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Qu, W., Bogena, H., Huisman, J. A., Vanderborght, J., Schuh, M., Priesack, E., Vereecken, H., 2015. Predicting subgrid variability of soil water content from basic soil information. Geophysical Research Letters, 789 - 796. DOI: 10.1002/ 2014GL062496.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: Predicting subgrid variability of soil water content from basic soil information
Description(s):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(s):DOI: 10.1002/ 2014GL062496
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
Creator(s):Author: Wie Qu
Author: Heye Bogena
Author: Johan A. Huisman
Author: Jan Vanderborght
Author: Max Schuh
Author: Erwin Priesack
Author: Harry Vereecken
Publisher:AGU Publications
TR32 Topic:Soil
Related Sub-project(s):C1
Subject(s):CRC/TR32 Keywords: Hydrological Modelling
File Details
File Name:Qu2015.pdf
Data Type:Text
File Size:495 kB (0.483 MB)
Date(s):Available: 2015-01-11
Mime Type:application/pdf
Data Format:PDF
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
North:-no map data
Measurement Region:Germany
Measurement Location:--Germany--
Specific Informations - Publication
Article Type:Journal
Source:Geophysical Research Letters
Page Range:789 - 796
Metadata Details
Metadata Creator:Michael Stockinger
Metadata Created:2017-05-30
Metadata Last Updated:2017-05-30
Funding Phase:2
Metadata Language:English
Metadata Version:V41
Dataset Metrics
Page Visits:342
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity