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  3. Data and Scripts for Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin

Data and Scripts for Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin

Abstract

Dates

Publication Date
Time Period
2018

Citation

Fienen, M.N., Nolan, B.T., Kauffman, L.J., and Feinstein, D.T., 2018, Data and Scripts for Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin: U.S. Geological Survey data release, https://doi.org/10.5066/F7610ZMG.

Summary

Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can provide estimates of groundwater age, enabling interpretation of measured age tracers. However, to extend to national-scale groundwater systems where numerical models are not routinely available, a more efficient metamodeling approach can provide a less precise but widely applicable estimate of groundwater age, trained to make forecasts based on predictor variables that can be measured independent of numerical models. We trained gradient-boosted regression tree statistical metamodels to MODFLOW/MODPATH derived groundwater age estimates in five [...]

Contacts

Point of Contact :
Michael N Fienen, U.S. Geological Survey
Originator :
Michael N Fienen, Bernard T Nolan, Leon J Kauffman, Daniel T Feinstein
Metadata Contact :
Michael N Fienen, U.S. Geological Survey
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Upper Midwest Water Science Center
USGS Mission Area :
Water Resources

Attached Files

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Data_and_Scripts_for_Metamodeling_for_Groundwater_Age_Forecasting_in_the_Lake_Michigan_Basin_Metadata.xml
Original FGDC Metadata
View 		15.27 KB application/fgdc+xml
grid_predictors2.7z
“predictors for making maps” 		306.84 MB application/x-7z-compressed
LMBTrainTestData-TABLE.xlsx
“base training data” 		4.8 MB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
optimal_models.pklz
“optimal model object” 		2.69 MB application/x-gzip
Make_Optimal_models_for_mapping.py
“code to fit optimal model” 		1.95 KB text/x-python
nawqa_meta.py
“model supporting code” 		31.73 KB text/x-python
get_results.py
“code to make predictions” 		6.23 KB text/x-python

Purpose

The statistical model can be used to make forecasts of groundwater age based on predictors that can be obtained from spatial coverages. This data release includes the model object and code necessary to apply it.

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Communities

  • USGS Data Release Products
  • Upper Midwest Water Science Center

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7610ZMG

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