TR32-Database: Database of Transregio 32

[627] - Influence of subsurface hydrodynamics on the lower atmosphere

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Citation
Rahman, A. M., 2012. Influence of subsurface hydrodynamics on the lower atmosphere. PhD Report, Meteorological Institute, University Bonn, Bonn, Germany. Accessed from http://www.tr32db.uni-koeln.de/data.php?dataID=627 at 2017-06-25.
Identification
Title(s):Main Title: Influence of subsurface hydrodynamics on the lower atmosphere
Description(s):Abstract: The subsurface hydrodynamics, which may be represented through the presence of a dynamic free water table, influences the mass and energy balance at land surface and lower atmosphere. On the other hand, the land surface, which is directly connected to the atmosphere, affects the climate system. The land surface mass and energy balance is usually calculated by the land surface parameterization schemes (LSPs), which tend to consider the subsurface hydrodynamics as a secondary process. However, it has been shown in a number of studies that the moving free water table has significant influence on the land surface processes. Because of this influence, two-way feedbacks with the weather generating processes of the lower atmosphere may exist. Due to the technological developments over the last few decades, a number of simulation platforms have been developed to study the spatiotemporal variability of hydrologic responses on lower atmosphere. In this study, we apply the fully coupled model ParFlow.CLM on a 28000 km2 model domain encompassing the Rur catchment, Germany, at a spatial resolution of 103 m in horizontal direction, 10-2 to 100 m in vertical direction and at an hourly temporal resolution. The ParFlow.CLM model includes the mass and energy balance at land surface as well as the three dimensional variably saturated subsurface flow and overland flow. ParFlow.CLM was configured over computational domains well beyond the actual Rur watershed boundaries to account for cross-watershed flow. The model was forced with atmospheric data obtained from the climate model COSMO. The resulting catchment model consists of up to 106 cells which were implemented over 882 processors on the supercomputer JUGENE hosted by the Juelich Supercomputing Centre, Germany. The land surface mass and energy fluxes were simulated and the influence of the groundwater dynamics on these fluxes was investigated. The analyses showed a clear connection between groundwater table depth and the components of land surface mass and energy balance. Proof was also found about the strong seasonal variability of this influence.
Responsible Party
Creator(s):Author: A.S.M. Mostaquimura Rahman
Publisher:CRC/TR32 Database (TR32DB)
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: PhD Report
File Details
File Name:Report3_Rahman_2012.pdf
Data Type:Text
File Size:2059 kB (2.011 MB)
Date(s):Available: 2012-10-01
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyOwnSubproject
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
Geographic
North:51.5915435
East:7.4236328
South:50.2058789
West:5.2263672
Measurement Region:NorthRhine-Westphalia
Measurement Location:--NorthRhine-Westphalia--
Specific Informations - Report
Report Date:1st of October, 2012
Report Type:PhD Report
Report City:Bonn, Germany
Report Institution:Meteorological Institute, University Bonn
Number Of Pages:13
Period of Pages:1 - 13
Further Informations:TR32 Student Report Phase II
Metadata Details
Metadata Creator:A.S.M.Mostaquimur Rahman
Metadata Created:2013-12-04
Metadata Last Updated:2013-12-04
Subproject:D7
Funding Phase:2
Metadata Language:English
Metadata Version:V40
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Metadata Downloads:0
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