Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models

This page lists all metadata that was entered for this dataset. You can download the dataset.

Citation Options
Title:Main Title: Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models
Description: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:10.1175/JHM-D-16-0159.1 (DOI)
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
Creators:Mauro Sulis (Author), John L. Williams (Author), Prabhakar Shrestha (Author), Malte Diederich (Author), Clemens Simmer (Author), Stefan Kollet (Author), Reed M. Maxwell (Author)
Publication Year:2018
TR32 Topic:Topography
Related Subproject:Z4
Subject:Keyword: Modelling
File Details
Data Type:Text - Article
File Size:3 MB
Dates:Accepted: 14.02.2017
Available: 08.05.2017
Mime Type:application/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
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Number of Pages:23 (1489 - 1511)
Metadata Details
Metadata Creator:Prabhakar Shrestha
Metadata Created:16.01.2018
Metadata Last Updated:16.01.2018
Funding Phase:3
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:680
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity