Preprints
https://doi.org/10.5194/egusphere-2023-2164
https://doi.org/10.5194/egusphere-2023-2164
28 Sep 2023
 | 28 Sep 2023

Improving Runoff Simulation in the Western United States with Noah-MP and VIC

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

Abstract. Streamflow forecasts are critical for water and environmental management, especially in the water-short Western U.S.. Land Surface Models (LSMs), such as the Variable Infiltration Capacity (VIC) model and the Noah-Multiparameterization (Noah-MP) play an essential role in providing comprehensive runoff forecasts across the region. Virtually all LSMs require parameter estimation to optimize their predictive capabilities. We describe a systematic calibration of parameters for VIC and Noah-MP over 263 river basins in the Western U.S., and distribution of the calibrated parameters over the entire region. Post-calibration results showed a notable improvement in model accuracy in the calibration basins: the median daily streamflow Kling-Gupta Efficiency (KGE) for VIC rose from 0.37 to 0.70, and for Noah-MP, from 0.22 to 0.54. Employing the donor-basin regionalization method, we developed transfer relationships to hydrologically similar basins and extended the calibrated parameters to ungauged basins and the entire region. We assessed factors that influence calibration efficiency and model performance using regional parameter estimates. We evaluated high and low flow simulation capabilities of the two models and observed marked improvements after calibration and regionalization. We also generated gridded parameter sets for both models across all 4816 HUC-10 basins in the Western U.S., a data set that is intended to support regional hydrologic studies and hydrologic climate change assessments.

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

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'A student review on egusphere-2023-2164', Adriaan J. (Ryan) Teuling, 05 Nov 2023
    • AC3: 'Reply on CC1', Lu Su, 21 Dec 2023
  • RC1: 'Comment on egusphere-2023-2164', Anonymous Referee #1, 06 Nov 2023
    • AC1: 'Reply on RC1', Lu Su, 21 Dec 2023
  • RC2: 'Comment on egusphere-2023-2164', Anonymous Referee #2, 06 Nov 2023
    • AC2: 'Reply on RC2', Lu Su, 21 Dec 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'A student review on egusphere-2023-2164', Adriaan J. (Ryan) Teuling, 05 Nov 2023
    • AC3: 'Reply on CC1', Lu Su, 21 Dec 2023
  • RC1: 'Comment on egusphere-2023-2164', Anonymous Referee #1, 06 Nov 2023
    • AC1: 'Reply on RC1', Lu Su, 21 Dec 2023
  • RC2: 'Comment on egusphere-2023-2164', Anonymous Referee #2, 06 Nov 2023
    • AC2: 'Reply on RC2', Lu Su, 21 Dec 2023
Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass
Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass

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Short summary
We used a systematic method to fine-tune two widely used models in 263 river basins in the Western U.S. Then, we developed transfer relationships to similar basins and extended the fine-tuned parameters to ungauged basins . We assessed factors that influence the performance of the parameter estimation and extension. We also checked how well the two models could simulate high and low river flows and saw notable enhancements. This helps studies on regional river flow simulation and forecast.