Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

MODFLOW-NWT model used to evaluate effects of complexity on head and flow calibration in the Fox-Wolf-Peshtigo watersheds, Wisconsin: U.S. Geological Survey data release.

Metadata Updated: July 6, 2024

This data release contains three groundwater-flow models of northeastern Wisconsin, USA, that were developed with differing levels of complexity to provide a framework for subsequent evaluations of the effects of process-based model complexity on estimates of groundwater age distributions for withdrawal wells and streams. Preliminary assessments, which focused on the effects of model complexity on simulated water levels in the glacial aquifer system, illustrate that simulation of vertical gradients using multiple model layers improves simulated heads more in relatively low-permeability units than in high-permeability units. Moreover, simulation of heterogeneous hydraulic conductivity fields in both coarse-grained and some fine-grained glacial materials produced an even larger improvement in simulated water levels in the glacial aquifer system compared with simulation of uniform hydraulic conductivity within zones. Future application of the models using simulated particle tracking is anticipated to evaluate whether these model design considerations are similarly important for understanding groundwater age distributions. This work was performed as part of the National Water Quality Assessment (NAWQA) Project's groundwater Mapping and Modeling work plan to evaluate effects of differing levels of model complexity on simulated results. The models were calibrated to approximately the 1970-2012 period, and used to simulate steady-state conditions. This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report (https://doi.org/10.3133/sir20175010). This data release also includes a postprocessing python script and associated input data files for creating shapefiles used to produce maps of head and flux residuals and comparisons of these residuals (figures 12, 13, and 19 in the report).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/5f44e5d88c0ce45d1168c345e27e3b03
Identifier USGS:062ad924-f0f3-4cc9-b844-8d1f5808f494
Data Last Modified 20201117
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 3b3076f9-ee67-41b3-9e02-a9c3c1f95477
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -90.203574,43.257882,-87.28805,46.012123
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 76eda5d5cbec1151932b987d45f0d156f374efbc801dc8e11ef663324ec629ae
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -90.203574, 43.257882, -90.203574, 46.012123, -87.28805, 46.012123, -87.28805, 43.257882, -90.203574, 43.257882}

Didn't find what you're looking for? Suggest a dataset here.