Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 140.5 KB | |
| Created: | Nov 12, 2025 at 2:31 p.m. (UTC) | |
| Last updated: | Nov 12, 2025 at 2:51 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
|---|---|
| Views: | 82 |
| Downloads: | 5 |
| +1 Votes: | 1 other +1 this |
| Comments: | No comments (yet) |
Abstract
This resource presents data used in the study by van der Heijden et al. (under review, 2025). The data contains a suite of performance metrics computed on National Water Model v3.0 retrospective simulated streamflow and observed streamflow at 797 USGS streamgages across the contiguous United States. It also contains the results of baseflow filter calibration, including the filter parameter (beta) and the RMSE from calibration.
The streamflow gages used are those considered of reference-quality by the Geospatial Attributes of Gages for Evaluating Streamflow, version II (GAGES-II) dataset (Falcone, 2011) that contain at least 20 years of continuous daily streamflow measurements.
Baseflow separation was conducted using a single parameter recursive digital low-pass filter based on Lyne and Hollick, (1979) for baseflow separation. The filter, implemented in the R package EcoHydRology (Fuka et al., 2014), was converted to Python (Hamshaw et al., 2020) and as part of this research is now available through the Baseflow Python package developed by Brigham Young University Hydroinformatics group (https://github.com/BYU-Hydroinformatics) The filter parameter was tuned to the long-term flow history of each gage individually using the 10th non-exceedance percentile of streamflow.
References:
Ryan van der Heijden, Ali Dadkhah, Scott Hamshaw, Mandar Dewoolkar, Ehsan Ghazanfari, Norm Jones, Gustavious Williams, Prabhakar Clement, Donna M. Rizzo. “Identifying and interpreting physical processes and NWM prediction bias associated with baseflow regimes across the CONUS.” Water Resources Research (under review, 2025).
Falcone, James A. 2011. “GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow.” Report. Reston, VA. USGS Publications Warehouse. https://doi.org/10.3133/70046617.
Lyne, V. D. and Hollick, M.: Stochastic time-variable rainfall runoff modelling, Hydrology and Water Resources Symposium, Institution of Engineers, Australia, Perth, 10–12 September 1979, 89–92, 1979.
Fuka DR, Walter MT, Archibald JA, Steenhuis, TS, and Easton ZM. “EcoHydRology, a community modeling foundation for Eco-Hydrology.” 2014.
Subject Keywords
Content
readme.txt
NWM v3.0 performance and baseflow filter calibration at select streamgages Item: StaID USGS station ID from NWIS Lat Latitude from NWIS Lon Longitude from NWIS BFI Cluster Cluster identification number Pearson_r_NWM Pearson correlation coefficient between observed and simulated streamflow RMSE_NWM Root mean squared error between observed and simulated streamflow NRMSE_mean_NWM Mean-normalized root mean squared error between observed and simulated streamflow NRMSE_iqr_NWM Interquartile range-normalized root mean squared error between observed and simulated streamflow ME_NWM Mean error between observed and simulated streamflow KGE_NWM Kling-Gupta efficiency between observed and simulated streamflow NSE_NWM Nash-Sutcliffe efficiency between observed and simulated streamflow above_med_KGE Indicates if KGE_NWM is above median (1) or below (0) above_med_NSE Indicates if NSE_NWM is above median (1) or below (0) above_med_both Indicates if both KGE_NWM and NSE_NWM are above median (1) or not (0) Beta Tuned filter parameter used for baseflow separation RMSE_beta RMSE from filter tuning.
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Cooperative Institute for Research to Operations in Hydrology (CIROH) | NA22NWS4320003 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment