Supporting Information dataset for article: "Buried paleo-channel detection with a groundwater model, tracer-based observations, and spatially varying, preferred anisotropy pilot point calibration"
Authors: | |
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Owners: | Oliver S. Schilling |
Type: | Resource |
Storage: | The size of this resource is 13.5 MB |
Created: | Nov 05, 2021 at 7:47 a.m. |
Last updated: | Sep 23, 2022 at 9:07 a.m. (Metadata update) |
Published date: | Jun 22, 2022 at 6:28 a.m. |
DOI: | 10.4211/hs.61bb11e383034bc194f85a57a1d251eb |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 1186 |
Downloads: | 39 |
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Abstract
This repository contains the Supporting Information Dataset DS1 for Schilling O.S., Partington, D.J., Doherty, J., Kipfer, R., Hunkeler, D., & Brunner, P. (2022): Buried Paleo-Channel Detection With a Groundwater Model, Tracer-Based Observations, and Spatially Varying, Preferred Anisotropy Pilot Point Calibration. Geophys. Res. Lett., 49(14): e2022GL098944. doi: 10.1029/2022GL098944
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Aeschau
Longitude
7.7551°
Latitude
46.9115°














Leaflet Map data © OpenStreetMap contributors
Content
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readme.txt
This repository contains the Supporting Information dataset DS1 for Schilling O.S., Partington, D.J., Doherty, J., Kipfer, R., Hunkeler, D., & Brunner, P. (2022): Buried paleo-channel detection with a groundwater model, tracer-based observations, and spatially varying, preferred anisotropy pilot point calibration. Geophys. Res. Lett. The Supporting Information dataset DS1 contains a zip-file with the HydroGeoSphere model input files required to simulate the pumping experiment as described in the main manuscript using the final calibrated parameter set. The zip-file furthermore contains a full list of the individual observations and associated weights that were used for the calibration of the model, as well as a list with all calibrated values at the pilot points. Details about the model setup, the simulation period and the goal of the models are described in the main manuscript as well as in Schilling et al. (2017). The HydroGeoSphere input files are provided in a general structure such that interested readers have maximum flexibility in adapting them to any experiment or calibration tool of their choice. To run the models, an up-to-date version of HydroGeoSphere as well as a valid license are necessary. Both can be obtained from Aquanty.com. The following files are included in the zip file: 1) Basic HGS model files: • the basic model setup file (filename: test.grok) • a porous media properties file (filename: ASG.mpropos) • a surface properties file (filename: overland.opropos) • an array-sizes information file (filename: array_sizes.default) • a batch file that provides HGS with the name of the model file to execute (filename: batch.pfx) • all grid input files (located in the subfolder \_gb\) • calibrated Kaq and Ksb-fields (calibrated_kf_alluv.out) • various node and element selection files (.nchos. and .echos. files • various time variant boundary condition input files 2) Complete set of initial conditions for the subsurface (pm) and overland (olf) domains based on the final calibrated parameters. The initial conditions are provided as head and HMC output files from the respective spin-up run and loaded into the model during model preprocessing with grok (filenames: .head_pm., .head_olf., .hmc_pm., and .hmc_olf. files located in the subfolder \_ic\) 3) Complete set of calibrated pilot point parameter values which were used to generate the final Kaq and Ksb-fields (final_calibrated_parameters.txt) 4) Complete set of observations that were used for calibration (observation_observation_list.txt) References: Schilling, O. S., Gerber, C., Partington, D. J., Purtschert, R., Brennwald, M. S., Kipfer, R., Hunkeler, D., and Brunner, P. (2017). Advancing physically-based flow simulations of alluvial systems through observations of 222Rn, 3H/3He, atmospheric noble gases and the novel 37Ar tracer method. Water Resour. Res., 53. doi:10.1002/2017WR020754
Related Resources
This resource is referenced by | Schilling O. S., Partington, D. J., Doherty, J., Kipfer, R., Hunkeler, D., and Brunner, P. (2022): Buried Paleo-Channel Detection With a Groundwater Model, Tracer-Based Observations, and Spatially Varying, Preferred Anisotropy Pilot Point Calibration. Geophys. Res. Lett., 49(14): e2022GL098944. doi: 10.1029/2022GL098944 |
How to Cite
Schilling, O. S., D. J. Partington, J. Doherty, R. Kipfer, D. Hunkeler, P. Brunner (2022). Supporting Information dataset for article: "Buried paleo-channel detection with a groundwater model, tracer-based observations, and spatially varying, preferred anisotropy pilot point calibration", HydroShare, https://doi.org/10.4211/hs.61bb11e383034bc194f85a57a1d251eb
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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