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 5 publications
(3 citation statements)
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References 110 publications
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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%
“…Gu et al [20] thought that radar data assimilation can effectively improve flood simulations at small-and medium-sized basins based on the coupled WRF-Hydro model. Li et al [23] concluded that the coupled WRF-Hydro model improved soil moisture and precipitation simulations and has potential in simulating and projecting streamflow over the Source Region of the Three Rivers. However, the great overestimation of precipitation by the coupled model leads to the fact that reproducing daily streamflow with the coupled model remains a challenge in complex terrain areas.…”
Section: Introductionmentioning
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%