TR32-Database: Database of Transregio 32

[597] - The subsurface-land surface-Atmospheric feedback under a range of land cover conditions

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Lu, Y., 2012. The subsurface-land surface-Atmospheric feedback under a range of land cover conditions. PhD Report, Meteorological Institute, University Bonn, Bonn, Germany. Accessed from at 2017-06-26.
Title(s):Main Title: The subsurface-land surface-Atmospheric feedback under a range of land cover conditions
Description(s):Abstract: The aim of this project is to understand the effects of vegetation on the coupling between groundwater, energy fluxes, and the atmospheric boundary layer. The study will focus on the sensitivity of these feedbacks to a range of land cover conditions. The model used for the study will be the coupled subsurface-surfaceatmospheric modeling platform developed in TR32 (Parflow-CLM-COSMO), and real catchment data (for the Rur catchment) will be used for this purpose. The aspects for the research will be: 1) what is the role of vegetation on transition zones of strongest coupling between water table and energy fluxes at the land surface? 2) What is the role of vegetation on the connection between water table dynamics and the atmospheric boundary layer? 3) How does this role change over diurnal and seasonal timescales? The methodology for this study is divided into two phases. The first phase will focus on vegetation effects on subsurface – surface coupling using the model (Parflow-CLM). Results from Phase I will be used to initialize the subsurface-land surface components of the fully coupled simulations of Phase II. In Phase II, the task will focus on the vegetation effects on subsurface – surface-atmospheric coupling using the model (Parflow-CLM-COSMO). During both phases a sensitivity analysis on vegetation parameters in CLM will be performed. Results will be compared to observations and previous studies, and will help draw conclusions on which regions within a watershed exhibit stronger vegetation effects on the coupling, and also during which times. This will enable us to determine vegetation parameters which have a large effect on these coupled processes and thus will need to be taken into account in future developments of vegetation parameterizations in CLM.
Responsible Party
Creator(s):Author: Yen-Sen Lu
Publisher:CRC/TR32 Database (TR32DB)
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: PhD Report
File Details
File Name:Report1_Lu_2012.pdf
Data Type:Text
File Size:1924 kB (1.879 MB)
Date(s):Available: 2012-04-20
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
Measurement Region:NorthRhine-Westphalia
Measurement Location:--NorthRhine-Westphalia--
Specific Informations - Report
Report Date:20th of April, 2012
Report Type:PhD Report
Report City:Bonn, Germany
Report Institution:Meteorological Institute, University Bonn
Number Of Pages:7
Period of Pages:1 - 7
Further Informations:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Yen-Sen Lu
Metadata Created:2013-12-04
Metadata Last Updated:2013-12-04
Funding Phase:2
Metadata Language:English
Metadata Version:V40
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