[1757] - Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models

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Citation
Sulis, M., Williams, J. L., Shrestha, P., Diederich, M., Simmer, C., Kollet, S., Maxwell, R. M., 2017. Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models. JHM, 18 (5), 1489 - 1511. DOI: 10.1175/JHM-D-16-0159.1.
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Identification
Title(s):Main Title: Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models
Description(s):Abstract: This study compares two modeling platforms, ParFlow.WRF (PF.WRF) and the Terrestrial Systems Modeling Platform (TerrSysMP), with a common 3D integrated surface–groundwater model to examine the variability in simulated soil–vegetation–atmosphere interactions. Idealized and hindcast simulations over the North Rhine–Westphalia region in western Germany for clear-sky conditions and strong convective pre- cipitation using both modeling platforms are presented. Idealized simulations highlight the strong variability introduced by the difference in land surface parameterizations (e.g., ground evaporation and canopy tran- spiration) and atmospheric boundary layer (ABL) schemes on the simulated land–atmosphere interactions. Results of the idealized simulations also suggest a different range of sensitivity in the two models of land surface and atmospheric parameterizations to water-table depth fluctuations. For hindcast simulations, both modeling platforms simulate net radiation and cumulative precipitation close to observed station data, while larger differences emerge between spatial patterns of soil moisture and convective rainfall due to the dif- ference in the physical parameterization of the land surface and atmospheric component. This produces a different feedback by the hydrological model in the two platforms in terms of discharge over different catchments in the study area. Finally, an analysis of land surface and ABL heat and moisture budgets using the mixing diagram approach reveals different sensitivities of diurnal atmospheric processes to the groundwater parameterizations in both modeling platforms.
Identifier(s):DOI: 10.1175/JHM-D-16-0159.1
Citation Advice:Sulis, M., Williams, J. L., Shrestha, P., Diederich, M., Simmer, C., Kollet, S. J., & Maxwell, R. M. (2017). Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models. Journal of Hydrometeorology, 18(5), 1489-1511.
Responsible Party
Creator(s):Author: Mauro Sulis
Author: John L. Williams
Author: Prabhakar Shrestha
Author: Malte Diederich
Author: Clemens Simmer
Author: Stefan Kollet
Author: Reed M. Maxwell
Publisher:AMS
Topic
TR32 Topic:Topography
Related Sub-project(s):Z4
Subject(s):CRC/TR32 Keywords: Modelling
File Details
File Name:Sulis_etal2017.pdf
Data Type:Text
File Size:3037 kB (2.966 MB)
Date(s):Date Accepted: 2017-02-14
Available: 2017-05-08
Mime Type:application/pdf
Language:English
Status:Completed
Constraints
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
Geographic
North:50.8874086
East:6.5296204
South:50.5395844
West:5.980304
Measurement Region:NorthRhine-Westphalia
Measurement Location:--NorthRhine-Westphalia--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2017
Type:Article
Article Type:Journal
Source:JHM
Issue:5
Volume:18
Number Of Pages:23
Page Range:1489 - 1511
Metadata Details
Metadata Creator:Prabhakar Shrestha
Metadata Created:2018-01-16
Metadata Last Updated:2018-01-16
Subproject:Z4
Funding Phase:3
Metadata Language:English
Metadata Version:V42
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