Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1529-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-1529-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Mar 2021
Research article |
| 26 Mar 2021
| 26 Mar 2021
Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates
Analysis and Prediction Branch, U.S. Geological Survey, Lakewood, CO 80225, USA
Hydrologic Science and Engineering, Colorado School of Mines, Golden, CO 80401, USA
William Farmer
Analysis and Prediction Branch, U.S. Geological Survey, Lakewood, CO 80225, USA
Jessica Driscoll
Analysis and Prediction Branch, U.S. Geological Survey, Lakewood, CO 80225, USA
Terri S. Hogue
Hydrologic Science and Engineering, Colorado School of Mines, Golden, CO 80401, USA
Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO 80401, USA
Viewed
Total article views: 4,673 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jun 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,097 | 1,464 | 112 | 4,673 | 116 | 180 |
- HTML: 3,097
- PDF: 1,464
- XML: 112
- Total: 4,673
- BibTeX: 116
- EndNote: 180
Total article views: 3,843 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Mar 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,684 | 1,072 | 87 | 3,843 | 90 | 145 |
- HTML: 2,684
- PDF: 1,072
- XML: 87
- Total: 3,843
- BibTeX: 90
- EndNote: 145
Total article views: 830 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jun 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 413 | 392 | 25 | 830 | 246 | 26 | 35 |
- HTML: 413
- PDF: 392
- XML: 25
- Total: 830
- Supplement: 246
- BibTeX: 26
- EndNote: 35
Viewed (geographical distribution)
Total article views: 4,673 (including HTML, PDF, and XML)
Thereof 4,421 with geography defined
and 252 with unknown origin.
Total article views: 3,843 (including HTML, PDF, and XML)
Thereof 3,692 with geography defined
and 151 with unknown origin.
Total article views: 830 (including HTML, PDF, and XML)
Thereof 729 with geography defined
and 101 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
16 citations as recorded by crossref.
- Improving the estimation of snow depth in the Noah-MP model by combining particle filter and Bayesian model averaging Y. You et al. https://doi.org/10.1016/j.jhydrol.2022.128877
- An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al. https://doi.org/10.5194/essd-15-2755-2023
- Spatiotemporal variation of water cycle components in Minjiang River Basin based on a correction method for evapotranspiration products M. Zheng et al. https://doi.org/10.1016/j.ejrh.2023.101575
- Modeling groundwater depletion in Hungary through GRACE and GLDAS observations analyzed with ensemble machine learning models M. Mohammed et al. https://doi.org/10.1007/s12665-026-12995-1
- Ensemble Estimation of Historical Evapotranspiration for the Conterminous U.S. M. Reitz et al. https://doi.org/10.1029/2022WR034012
- Unified 0.25-degree gridded infrastructure-critical extreme weather for the United States from 1979 to 2100 T. Sun et al. https://doi.org/10.1038/s41597-025-05918-5
- Challenges in applying water budget framework for estimating groundwater storage changes from GRACE observations M. Akl & B. Thomas https://doi.org/10.1016/j.jhydrol.2024.131600
- Variation Characteristics of Evapotranspiration and Water Consumption Effectiveness Evaluation in the Aksu River Basin Based on Multi-Source Data Fusion M. Yang et al. https://doi.org/10.3390/atmos17030244
- Long‐Term Water Imbalances of Watersheds Resulting From Biases in Hydroclimatic Data Sets for Water Budget Analyses X. Tan et al. https://doi.org/10.1029/2021WR031209
- Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. https://doi.org/10.1016/j.envsoft.2022.105511
- Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement S. Stackpoole et al. https://doi.org/10.1111/1752-1688.13137
- A multi-objective comparative framework for Enhanced GRACE-Groundwater comparative analysis M. Akl et al. https://doi.org/10.1016/j.jhydrol.2025.134403
- Intercomparison of Runoff and River Discharge Reanalysis Datasets at the Upper Jinsha River, an Alpine River on the Eastern Edge of the Tibetan Plateau S. Chen et al. https://doi.org/10.3390/w17060871
- MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models R. Schweppe et al. https://doi.org/10.5194/gmd-15-859-2022
- Soil Moisture Satellite Data Under Scrutiny: Assessing Accuracy Through Environmental Proxies and Extended Triple Collocation Analysis A. Pataki et al. https://doi.org/10.1007/s41748-025-00605-2
- HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool E. Moges et al. https://doi.org/10.3389/feart.2022.884766
16 citations as recorded by crossref.
- Improving the estimation of snow depth in the Noah-MP model by combining particle filter and Bayesian model averaging Y. You et al. https://doi.org/10.1016/j.jhydrol.2022.128877
- An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al. https://doi.org/10.5194/essd-15-2755-2023
- Spatiotemporal variation of water cycle components in Minjiang River Basin based on a correction method for evapotranspiration products M. Zheng et al. https://doi.org/10.1016/j.ejrh.2023.101575
- Modeling groundwater depletion in Hungary through GRACE and GLDAS observations analyzed with ensemble machine learning models M. Mohammed et al. https://doi.org/10.1007/s12665-026-12995-1
- Ensemble Estimation of Historical Evapotranspiration for the Conterminous U.S. M. Reitz et al. https://doi.org/10.1029/2022WR034012
- Unified 0.25-degree gridded infrastructure-critical extreme weather for the United States from 1979 to 2100 T. Sun et al. https://doi.org/10.1038/s41597-025-05918-5
- Challenges in applying water budget framework for estimating groundwater storage changes from GRACE observations M. Akl & B. Thomas https://doi.org/10.1016/j.jhydrol.2024.131600
- Variation Characteristics of Evapotranspiration and Water Consumption Effectiveness Evaluation in the Aksu River Basin Based on Multi-Source Data Fusion M. Yang et al. https://doi.org/10.3390/atmos17030244
- Long‐Term Water Imbalances of Watersheds Resulting From Biases in Hydroclimatic Data Sets for Water Budget Analyses X. Tan et al. https://doi.org/10.1029/2021WR031209
- Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. https://doi.org/10.1016/j.envsoft.2022.105511
- Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement S. Stackpoole et al. https://doi.org/10.1111/1752-1688.13137
- A multi-objective comparative framework for Enhanced GRACE-Groundwater comparative analysis M. Akl et al. https://doi.org/10.1016/j.jhydrol.2025.134403
- Intercomparison of Runoff and River Discharge Reanalysis Datasets at the Upper Jinsha River, an Alpine River on the Eastern Edge of the Tibetan Plateau S. Chen et al. https://doi.org/10.3390/w17060871
- MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models R. Schweppe et al. https://doi.org/10.5194/gmd-15-859-2022
- Soil Moisture Satellite Data Under Scrutiny: Assessing Accuracy Through Environmental Proxies and Extended Triple Collocation Analysis A. Pataki et al. https://doi.org/10.1007/s41748-025-00605-2
- HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool E. Moges et al. https://doi.org/10.3389/feart.2022.884766
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We compare simulated values from 47 models estimating surface water over the USA. Results show that model uncertainty is substantial over much of the conterminous USA and especially high in the west. Applying the studied models to a simple water accounting equation shows that model selection can significantly affect research results. This paper concludes that multimodel ensembles help to best represent uncertainty in conclusions and suggest targeted research efforts in arid regions.
We compare simulated values from 47 models estimating surface water over the USA. Results show...
