Articles | Volume 28, issue 13
https://doi.org/10.5194/hess-28-3079-2024
https://doi.org/10.5194/hess-28-3079-2024
Research article
 | 
16 Jul 2024
Research article |  | 16 Jul 2024

Improving runoff simulation in the Western United States with Noah-MP and VIC models

Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass

Related authors

Unveiling the role of groundwater in hydrology and nitrate-N transport over agricultural watersheds in the U.S. Corn Belt: insights from model structure intercomparison
Yaji Wang, Bin Peng, Mengqi Jia, Zewei Ma, Qianyu Zhao, Ryan Bailey, Daniel Abrams, Jie Yang, Kaiyu Guan, Ming Pan, and Yuanxin Song
EGUsphere, https://doi.org/10.5194/egusphere-2026-4671,https://doi.org/10.5194/egusphere-2026-4671, 2026
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Comprehensive Global Assessment of 24 Gridded Precipitation Datasets Across 18 428 Catchments Using Hydrological Modeling
Ather Abbas, Yuan Yang, Ming Pan, Yves Tramblay, Chaopeng Shen, Haoyu Ji, Solomon H. Gebrechorkos, Florian Pappenberger, JongCheol Pyo, Dapeng Feng, George Huffman, Phu Nguyen, Christian Massari, Luca Brocca, Jackson Tan, and Hylke E. Beck
Hydrol. Earth Syst. Sci., 30, 3399–3423, https://doi.org/10.5194/hess-30-3399-2026,https://doi.org/10.5194/hess-30-3399-2026, 2026
Short summary
Fusing Satellite Embeddings to Improve Streamflow Reconstruction Across River Networks
Haomei Lin, Peirong Lin, Fenghe Zhang, Louise Slater, Yuan Yang, Ming Pan, Qiming Qin, and Aizhong Hou
EGUsphere, https://doi.org/10.5194/egusphere-2026-1834,https://doi.org/10.5194/egusphere-2026-1834, 2026
Preprint archived
Short summary
Ensembling differentiable process-based and data-driven models with diverse meteorological forcing datasets to advance streamflow simulation
Peijun Li, Yalan Song, Ming Pan, Kathryn Lawson, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 29, 6829–6861, https://doi.org/10.5194/hess-29-6829-2025,https://doi.org/10.5194/hess-29-6829-2025, 2025
Short summary
Soil oxygen dynamics: a key mediator of tile drainage impacts on coupled hydrological, biogeochemical, and crop systems
Zewei Ma, Kaiyu Guan, Bin Peng, Wang Zhou, Robert Grant, Jinyun Tang, Murugesu Sivapalan, Ming Pan, Li Li, and Zhenong Jin
Hydrol. Earth Syst. Sci., 29, 6393–6417, https://doi.org/10.5194/hess-29-6393-2025,https://doi.org/10.5194/hess-29-6393-2025, 2025
Short summary

Cited articles

Adam, J. C. and Lettenmaier, D. P.: Adjustment of global gridded precipitation for systematic bias, J. Geophys. Res., 108, 1–14, https://doi.org/10.1029/2002JD002499, 2003. 
Adam, J. C., Clark, E. A., Lettenmaier, D. P., and Wood, E. F.: Correction of Global Precipitation Products for Orographic Effects, J. Climate, 19, 15–38, https://doi.org/10.1175/JCLI3604.1, 2006. 
Anghileri, D., Voisin, N., Castelletti, A., Pianosi, F., Nijssen, B., and Lettenmaier, D. P.: Value of Long-Term Streamflow Forecasts to Reservoir Operations for Water Supply in Snow-Dominated River Catchments, Water Resour. Res., 52, 4209–4225, 2016. 
Arsenault, R. and Brissette, F. P.: Continuous streamflow prediction in ungauged basins: The effects of equifinality and parameter set selection on uncertainty in regionalization approaches, Water Resour. Res., 50, 6135–6153, https://doi.org/10.1002/2013WR014898, 2014. 
Bass, B., Rahimi, S., Goldenson, N., Hall, A., Norris, J., and Lebow, Z. J.: Achieving Realistic Runoff in the Western United States with a Land Surface Model Forced by Dynamically Downscaled Meteorology, J. Hydrometeorol., 24, 269–283, 2023. 
Download
Short summary
We fine-tuned the variable infiltration capacity (VIC) and Noah-MP models across 263 river basins in the Western US. We developed transfer relationships to similar basins and extended the fine-tuned parameters to ungauged basins. Both models performed best in humid areas, and the skills improved post-calibration. VIC outperforms Noah-MP in all but interior dry basins following regionalization. VIC simulates annual mean streamflow and high flow well, while Noah-MP performs better for low flows.
Share