[756] - Sensitivity of Latent Heat Fluxes to Initial Values and Parameters of a Land-Surface Model

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!
Schwinger, J., Kollet, S., Hoppe, C. M., Elbern, H., 2010. Sensitivity of Latent Heat Fluxes to Initial Values and Parameters of a Land-Surface Model. Vadose Zone Journal, 9 (4), 984 - 1001. DOI: 10.2136/vzj2009.0190.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: Sensitivity of Latent Heat Fluxes to Initial Values and Parameters of a Land-Surface Model
Description(s):Abstract: A tangent linear version of the complex soil–vegetation–atmosphere transfer model Community Land Model has been developed and its ability to reproduce relevant sensitivities of the modeled soil moisture and latent heat flux (LE) evolution to a number of different parameters on a short time scale (3 d) was analyzed. To this end, a series of idealized experiments for different soil moisture states and three different soil types was conducted. We found that the tangent linear model performs well for a large range of conditions. Situations in which the linear approximation potentially fails were connected with the occurrence of saturation and with the highly nonlinear parameterization of water availability to plants. The sensitivity of LE with respect to the model's initial soil moisture state was calculated and compared with the LE sensitivity to soil texture, leaf area index (LAI), and vegetation roughness length. These sensitivities were found to be highly variable with soil type and soil moisture. Our results confirm that soil texture and LAI are key parameters that have a dominant influence on modeled LE under specific environmental conditions. As a preparatory study to soil data assimilation developments, the results also serve to quantify model uncertainties due to limited knowledge of forcing processes and model parameters.
Identifier(s):DOI: 10.2136/vzj2009.0190
Responsible Party
Creator(s):Author: Jörg Schwinger
Author: Stefan Kollet
Author: Charlotte M. Hoppe
Author: Hendrik Elbern
Publisher:Soil Science Society of America
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Latent Heat Flux, SVAT Modelling, Soil Moisture
File Details
File Name:2010_Schwinger_VZJ.pdf
Data Type:Text
Size(s):18 Pages
File Size:4096 kB (4 MB)
Date(s):Issued: 2010-10-20
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Article Type:Journal
Source:Vadose Zone Journal
Number Of Pages:18
Page Range:984 - 1001
Metadata Details
Metadata Creator:Jörg Schwinger
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:385
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity