2. Soil-Water-Balance model INPUT for scenarios using dynamically downscaled global climate model forcing data: 1995 to 2014, 2040 to 2059, and 2080 to 2099)
This child item contains files and information for running the
USGS Soil-Water-Balance (SWB) model (version 2, Westenbroek and others, 2018) with
dynamically downscaled global climate model (GCM) forcing data available from
Liess and others (2026, https://doi.org/10.1029/2025WR040415). Six GCMs from the
Coupled Model Intercomparison Project Phase 6 (CMIP6) were dynamically downscaled
using the Weather Research and Forecasting (WRF) model. A daily climate model
data set was produced for every combination of the six GCMs for two periods
(mid-century, 2040-59 and late century, 2080-99) and three Shared Socioeconomic
Pathways (SSP) emissions scenarios (SSP245, SSP370, and SSP585). For each of the
six GCMs, a daily dataset was also completed for the historical period of 1995-2014
for a total of 42 climate model data sets.
The example control file, batch file, and python file in this data release item
are needed along (1) with daily climate model data sets of precipitation, maximum
daily temperature, and minimum daily temperature available through Liess and
others (2026) and (2)the model executable files (bin.zip), gridded model input
files of land use, and soil properties (gridded_data.zip), the model extent
(geodata.zip), and calibrated lookup tables (tabular_data.zip) available in item
1 of this data release (1. Soil-Water-Balance base model for Minnesota, 1981 to
2022 - INPUT and OUTPUT) to reproduce the output in item 3 of this data release
(3. Soil-Water-Balance model OUTPUT for scenarios using dynamically downscaled
global climate model forcing data: 1995 to 2014, 2040 to 2059, and 2080 to 2099).
REFERENCES:
Liess, S., Roop, H. A., Twine, T. E., Clark, S., Coffman, D., Dolma, D., Farris,
A., Fernandez, A., Gorman, J., and Meyer, N. (2026). County-scale climate
projections over Minnesota and the effects of lakes. Water Resources Research,
62(2), e2025WR040415. doi.org, https://doi.org/10.1029/2025WR040415.
Westenbroek, S.M., Engott, J.A., Kelson, V.A., and Hunt, R.J., 2018, SWB version
2.0-A Soil-Water-Balance code for estimating net infiltration and other
water-budget components: U.S. Geological Survey Techniques and Methods, book 6,
chap. A59, 118 p., accessed January 1, 2019, at https://doi.org/10.3133/tm6A59.
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Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Center Director", "@type": "vcard:Contact", "hasEmail": "mailto:mierardi@usgs.gov" } |
| description | This child item contains files and information for running the USGS Soil-Water-Balance (SWB) model (version 2, Westenbroek and others, 2018) with dynamically downscaled global climate model (GCM) forcing data available from Liess and others (2026, https://doi.org/10.1029/2025WR040415). Six GCMs from the Coupled Model Intercomparison Project Phase 6 (CMIP6) were dynamically downscaled using the Weather Research and Forecasting (WRF) model. A daily climate model data set was produced for every combination of the six GCMs for two periods (mid-century, 2040-59 and late century, 2080-99) and three Shared Socioeconomic Pathways (SSP) emissions scenarios (SSP245, SSP370, and SSP585). For each of the six GCMs, a daily dataset was also completed for the historical period of 1995-2014 for a total of 42 climate model data sets. The example control file, batch file, and python file in this data release item are needed along (1) with daily climate model data sets of precipitation, maximum daily temperature, and minimum daily temperature available through Liess and others (2026) and (2)the model executable files (bin.zip), gridded model input files of land use, and soil properties (gridded_data.zip), the model extent (geodata.zip), and calibrated lookup tables (tabular_data.zip) available in item 1 of this data release (1. Soil-Water-Balance base model for Minnesota, 1981 to 2022 - INPUT and OUTPUT) to reproduce the output in item 3 of this data release (3. Soil-Water-Balance model OUTPUT for scenarios using dynamically downscaled global climate model forcing data: 1995 to 2014, 2040 to 2059, and 2080 to 2099). REFERENCES: Liess, S., Roop, H. A., Twine, T. E., Clark, S., Coffman, D., Dolma, D., Farris, A., Fernandez, A., Gorman, J., and Meyer, N. (2026). County-scale climate projections over Minnesota and the effects of lakes. Water Resources Research, 62(2), e2025WR040415. doi.org, https://doi.org/10.1029/2025WR040415. Westenbroek, S.M., Engott, J.A., Kelson, V.A., and Hunt, R.J., 2018, SWB version 2.0-A Soil-Water-Balance code for estimating net infiltration and other water-budget components: U.S. Geological Survey Techniques and Methods, book 6, chap. A59, 118 p., accessed January 1, 2019, at https://doi.org/10.3133/tm6A59. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P970H64B", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.68261ec5d4be024c53ba3f39.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_68261ec5d4be024c53ba3f39 |
| keyword |
[ "Groundwater", "Groundwater Recharge Model", "InlandWaters", "Minnesota", "SWB", "USA", "USGS:68261ec5d4be024c53ba3f39", "climate", "environment", "evapotranspiration", "geoscientificInformation", "groundwater", "groundwater recharge", "hydrology", "inlandWaters", "irrigation", "irrigation water use", "net infiltration", "numerical modeling", "runoff", "soil-water-balance model", "usgssoilwaterbalancemodel", "water availability", "water budget" ] |
| modified | 2026-06-22T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -97.9102, 42.6824, -88.6816, 49.5537 |
| theme |
[ "geospatial" ] |
| title | 2. Soil-Water-Balance model INPUT for scenarios using dynamically downscaled global climate model forcing data: 1995 to 2014, 2040 to 2059, and 2080 to 2099) |