Calibration of the USGS National Hydrologic Model in ungauged basins using statistical at-site streamflow simulations
Journal of Hydrologic Engineering
By: William Farmer, Jacob LaFontaine, and Lauren Hay
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Abstract
In the absence of measured streamflow, statistically simulated daily streamflow can be used to support the ability of physical models to represent hydrologic processes at ungauged locations. The objective of this study was to determine the feasibility of using statistical simulations in place of measured streamflow to calibrate physical models in ungauged basins. Daily streamflow was simulated at each of the 1,410 gauged watersheds using a cross-validated implementation of pooled ordinary kriging (POK). In this manner, the streamflow at each gauge was simulated as if no at-site streamflow information were available. The National Hydrologic Model application of the Precipitation-Runoff Modeling System was then calibrated through two separate procedures: (1) with measured streamflow, and (2) with statistically simulated streamflow in lieu of measured streamflow. Calibrating with statistically simulated streamflow produced performances within 23% of applications with knowledge of at-site measurements. Furthermore, statistically generated streamflow produced accurate timing information, which, when combined with alternative data sets (e.g., evapotranspiration, recharge, etc.), can be used to improve representation of hydrologic processes at ungauged locations.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Calibration of the USGS National Hydrologic Model in ungauged basins using statistical at-site streamflow simulations |
| Series title | Journal of Hydrologic Engineering |
| DOI | 10.1061/(ASCE)HE.1943-5584.0001854 |
| Volume | 24 |
| Issue | 11 |
| Year Published | 2019 |
| Language | English |
| Publisher | ASCE |
| Contributing office(s) | WMA - Integrated Modeling and Prediction Division |
| Description | 04019049, 13 p. |
| Country | United States |
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