U.S. Department of EnergyOffice of Scientific and Technical Information
ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022
Abstract
This dataset contains the files to run a ParFlow-CLM integrated hydrologic model simulation for Maina et al., HESS, 2022. It also contains the associated daily pressure output of those simulations. Simulations are for a hillslope-similarity approach based on seasonal groundwater changes in the East River, Colorado. Comparisons are made to different clustering, or functional zonation approaches. We assess the ability of these clustering approaches to identify and categorize hillslopes with similar static characteristics, hydroclimate, land surface processes, and subsurface dynamics in a mountainous watershed. ParFlow binary files (.pfb) are model specific, and can be modified/viewed with conversion to .sa, .silo, or .vtk file formats. ParFlow input scripts are in the .tcl file format. Associated post-processing scripts are included as .f90 files.
- Authors:
-
;
;
- Lawrence Berkeley National Laboratory; Lawrence Berkeley National Laboratory
- NASA Goddard Space Flight Center
- Lawrence Berkeley National Laboratory
- Publication Date:
- Other Number(s):
- paf_849_853
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; evapotranspiration; functional zonation; global sensitivity analysis
- OSTI Identifier:
- 1924605
- DOI:
- https://doi.org/10.15485/1924605
Citation Formats
Woodburn, Erica, Maina, Fadji, Wainwright, Haruko, and Dennedy-Frank, P. James. ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022. United States: N. p., 2021.
Web. doi:10.15485/1924605.
Woodburn, Erica, Maina, Fadji, Wainwright, Haruko, & Dennedy-Frank, P. James. ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022. United States. doi:https://doi.org/10.15485/1924605
Woodburn, Erica, Maina, Fadji, Wainwright, Haruko, and Dennedy-Frank, P. James. 2021.
"ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022". United States. doi:https://doi.org/10.15485/1924605. https://www.osti.gov/servlets/purl/1924605. Pub date:Fri Dec 31 23:00:00 EST 2021
@article{osti_1924605,
title = {ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022},
author = {Woodburn, Erica and Maina, Fadji and Wainwright, Haruko and Dennedy-Frank, P. James},
abstractNote = {This dataset contains the files to run a ParFlow-CLM integrated hydrologic model simulation for Maina et al., HESS, 2022. It also contains the associated daily pressure output of those simulations. Simulations are for a hillslope-similarity approach based on seasonal groundwater changes in the East River, Colorado. Comparisons are made to different clustering, or functional zonation approaches. We assess the ability of these clustering approaches to identify and categorize hillslopes with similar static characteristics, hydroclimate, land surface processes, and subsurface dynamics in a mountainous watershed. ParFlow binary files (.pfb) are model specific, and can be modified/viewed with conversion to .sa, .silo, or .vtk file formats. ParFlow input scripts are in the .tcl file format. Associated post-processing scripts are included as .f90 files.},
doi = {10.15485/1924605},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 31 23:00:00 EST 2021},
month = {Fri Dec 31 23:00:00 EST 2021}
}