2021
DOI: 10.3390/w13233409
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Impact of Fully Coupled Hydrology-Atmosphere Processes on Atmosphere Conditions: Investigating the Performance of the WRF-Hydro Model in the Three River Source Region on the Tibetan Plateau, China

Abstract: The newly developed WRF-Hydro model is a fully coupled atmospheric and hydrological processes model suitable for studying the intertwined atmospheric hydrological processes. This study utilizes the WRF-Hydro system on the Three-River source region. The Nash-Sutcliffe efficiency for the runoff simulation is 0.55 compared against the observed daily discharge amount of three stations. The coupled WRF-Hydro simulations are better than WRF in terms of six ground meteorological elements and turbulent heat flux, comp… Show more

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Cited by 4 publications
(2 citation statements)
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“…Ryu et al [73] applied the WRF-Hydro for flash flood forecasting in the Namgang Dam basin of South Korea; the results show a potential for the WRF-Hydro with optimized parameters to predict heavy rain-induced flash floods. Li et al [74] utilized the WRF-Hydro to simulate the atmospheric and hydrological processes in the Three-River source region, showing an NSE of 0.55 in comparison to the observed daily discharge. Fersch et al [75] used the offline WRF-Hydro model to calibrate parameters (with NSEs between 0.56 and 0.64), and then used the WRF-Hydro to reproduce the regional water cycle with calibrated parameters.…”
Section: Hydro-meteorological Simulations and Forecastsmentioning
confidence: 99%
“…Ryu et al [73] applied the WRF-Hydro for flash flood forecasting in the Namgang Dam basin of South Korea; the results show a potential for the WRF-Hydro with optimized parameters to predict heavy rain-induced flash floods. Li et al [74] utilized the WRF-Hydro to simulate the atmospheric and hydrological processes in the Three-River source region, showing an NSE of 0.55 in comparison to the observed daily discharge. Fersch et al [75] used the offline WRF-Hydro model to calibrate parameters (with NSEs between 0.56 and 0.64), and then used the WRF-Hydro to reproduce the regional water cycle with calibrated parameters.…”
Section: Hydro-meteorological Simulations and Forecastsmentioning
confidence: 99%
“…The relation of the atmospheric vertical motion with the climate was discussed by Tian et al (2021) [9] via climate diagnosis and statistical analysis. Moreover, [10] evaluated the runoff simulation skills via WRF-Hydro, and achieved an improvement of 6.6% in root mean square error against in situ measurements. The enhanced WRF-Hydro simulated an increase in latent heat flux, but a decrease in sensible heat flux and soil surface temperature due to the moist soil.…”
mentioning
confidence: 99%