Modelling surface‐water depression storage in a Prairie Pothole Region

In this study, the Precipitation‐Runoff Modelling System (PRMS) was used to simulate changes in surface‐water depression storage in the 1,126‐km2 Upper Pipestem Creek basin located within the Prairie Pothole Region of North Dakota, USA. The Prairie Pothole Region is characterized by millions of smal...

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Bibliographic Details
Published in:Hydrological processes 2018-02, Vol.32 (4), p.462-479
Main Authors: Hay, Lauren, Norton, Parker, Viger, Roland, Markstrom, Steven, Steven Regan, R., Vanderhoof, Melanie
Format: Article
Language:English
Subjects:
Calibration
Coastal inlets
Computer simulation
Datasets
Depression storage
Ecosystem services
Fabrics
Geologic depressions
Geological surveys
Hydrography
Hydrologic cycle
Hydrologic models
Hydrological cycle
Hydrology
Lakes
model calibration
Modelling
National Hydrologic Model (NHM)
North Dakota
Parameterization
Prairie Potholes
Precipitation
Precipitation‐Runoff Modelling System (PRMS)
Runoff
Surveying
Water balance
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Summary:In this study, the Precipitation‐Runoff Modelling System (PRMS) was used to simulate changes in surface‐water depression storage in the 1,126‐km2 Upper Pipestem Creek basin located within the Prairie Pothole Region of North Dakota, USA. The Prairie Pothole Region is characterized by millions of small water bodies (or surface‐water depressions) that provide numerous ecosystem services and are considered an important contribution to the hydrologic cycle. The Upper Pipestem PRMS model was extracted from the U.S. Geological Survey's (USGS) National Hydrologic Model (NHM), developed to support consistent hydrologic modelling across the conterminous United States. The Geospatial Fabric database, created for the USGS NHM, contains hydrologic model parameter values derived from datasets that characterize the physical features of the entire conterminous United States for 109,951 hydrologic response units. Each hydrologic response unit in the Geospatial Fabric was parameterized using aggregated surface‐water depression area derived from the National Hydrography Dataset Plus, an integrated suite of application‐ready geospatial datasets. This paper presents a calibration strategy for the Upper Pipestem PRMS model that uses normalized lake elevation measurements to calibrate the parameters influencing simulated fractional surface‐water depression storage. Results indicate that inclusion of measurements that give an indication of the change in surface‐water depression storage in the calibration procedure resulted in accurate changes in surface‐water depression storage in the water balance. Regionalized parameterization of the USGS NHM will require a proxy for change in surface‐storage to accurately parameterize surface‐water depression storage within the USGS NHM.
ISSN:0885-6087
1099-1085
DOI:10.1002/hyp.11416