PRMS Model Archive for Selected Catchments in the Lake Michigan Basin Used in Examination of Multi-Objective Model Calibration
This model archive contains 20 Precipitation-Runoff Modeling System (PRMS) models for 20 catchments within the Lake Michigan watershed (Mei and others, 2022). PRMS is a process-based distributed deterministic watershed model designed for the simulation of hydrologic processes including evaporation, transpiration, runoff, infiltration, interflow, and groundwater flow (Markstrom and others, 2015). The PRMS model version 5.2.0 (Markstrom and others, 2015) within the Ground-water and Surface-water FLOW (GSFLOW version 2.2.0) modeling platform (Markstrom and others, 2008) was used to construct the 20 catchment models. Each of the catchment models was calibrated using six different calibration schemes that are either single- or multi-objective (Mei and others, 2022). The optimization algorithm applied was the Dynamically Dimensioned Search (DDS) for single-objective (Tolson, 2007) and the Pareto-Archived DDS (PADDS) for multi-objective calibration problems (Asadzadeh and Tolson, 2013), respectively.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
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|
| contactPoint |
{
"fn": "Howard W Reeves",
"@type": "vcard:Contact",
"hasEmail": "mailto:hwreeves@usgs.gov"
}
|
| description | This model archive contains 20 Precipitation-Runoff Modeling System (PRMS) models for 20 catchments within the Lake Michigan watershed (Mei and others, 2022). PRMS is a process-based distributed deterministic watershed model designed for the simulation of hydrologic processes including evaporation, transpiration, runoff, infiltration, interflow, and groundwater flow (Markstrom and others, 2015). The PRMS model version 5.2.0 (Markstrom and others, 2015) within the Ground-water and Surface-water FLOW (GSFLOW version 2.2.0) modeling platform (Markstrom and others, 2008) was used to construct the 20 catchment models. Each of the catchment models was calibrated using six different calibration schemes that are either single- or multi-objective (Mei and others, 2022). The optimization algorithm applied was the Dynamically Dimensioned Search (DDS) for single-objective (Tolson, 2007) and the Pareto-Archived DDS (PADDS) for multi-objective calibration problems (Asadzadeh and Tolson, 2013), respectively. |
| distribution |
[
{
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"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9DOVISZ",
"mediaType": "application/http",
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{
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"title": "Original Metadata",
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_6255e0a7d34e21f8276f4a97 |
| keyword |
[
"Great Lakes",
"Lake Michigan",
"OSTRICH multi-objective",
"PRMS",
"Precipitation Runoff Modeling System",
"USGS:6255e0a7d34e21f8276f4a97",
"calibration",
"mathematical modeling",
"modeling",
"multi-objective",
"surface water",
"surface-water model",
"watershed model"
]
|
| modified | 2023-03-06T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -89.7323, 41.2310, -83.9605, 46.7000 |
| theme |
[
"Geospatial"
]
|
| title | PRMS Model Archive for Selected Catchments in the Lake Michigan Basin Used in Examination of Multi-Objective Model Calibration |
