Uncertainties of 3D soil hydraulic parameters in streamflow simulations using a distributed hydrological model system

Yang, Yize; Yuan, Huiling; Yu, Wei

doi:10.1016/j.jhydrol.2018.09.042

Cited by 17 publications

(9 citation statements)

References 60 publications

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“…The NSE of runoff in this study is not high, perhaps because the agility of WRF-Hydro might be unnecessarily constrained by its complex process [96]. This is probably the reason that NSE is low in some watersheds in similar studies [97][98][99][100]. The calibrated model parameters (Zmax = 50) in this study are to offset the impact of continuously excessive precipitation on runoff production.…”

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confidence: 74%

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

Meng

Blyth

et al. 2021

Water

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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, compared to the data from 14 meteorological stations located in the plateau residential area and two flux stations located around the lake. Although WRF-Hydro overestimates soil moisture, higher anomaly correlation coefficient scores (0.955 versus 0.941) were achieved. The time series of the basin average demonstrates that the hydrological module of WRF-hydro functions during the unfrozen period. The rainfall intensity and frequency simulated by WRF-Hydro are closer to global precipitation mission (GPM) data, attributed to higher convective available potential energy (CAPE) simulated by WRF-Hydro. The results emphasized the necessity of a fully coupled atmospheric-hydrological model when investigating land-atmosphere interactions on a complex topography and hydrology region.

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mentioning

confidence: 74%

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

Meng

Blyth

et al. 2021

Water

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“…Distributed models have been proposed and used in large-scale environmental simulations to represent the spatial heterogeneity of environmental factors. , Land-use prediction models should be distributed when the study area is large because socioeconomic factors and land-use change regulations vary in different subareas, which will lead to different land-use change trends …”

Section: Methodsmentioning

confidence: 99%

“…Distributed models have been proposed and used in large-scale environmental simulations to represent the spatial heterogeneity of environmental factors. 29,30 Land-use prediction models should be distributed when the study area is large because socioeconomic factors and land-use change regulations vary in different subareas, which will lead to different land-use change trends. 27 Based on the idea of a distributed model, we developed the Distributed Land-Use Change Prediction (DLUCP) model using distributed parameters to represent the spatial heterogeneity of land-use change in different subareas.…”

Section: Methodsmentioning

confidence: 99%

A Declining Trend in China’s Future Cropland-N₂O Emissions Due to Reduced Cropland Area

Liu

Zhou

Huang

et al. 2021

Environ. Sci. Technol.

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Croplands are the largest anthropogenic source of nitrous oxide (N2O), a powerful greenhouse gas that contributes to the growing atmospheric N2O burden. However, few studies provide a comprehensive depiction of future cropland-N2O emissions on a national scale due to a lack of accurate cropland prediction data. Herein, we present a newly developed distributed land-use change prediction model for the high-precision prediction of national-scale land-use change. The high-precision land-use data provide an opportunity to elucidate how the changes in cropland area will affect the magnitude and spatial distribution of N2O emissions from China’s croplands during 2020–2070. The results showed a declining trend in China’s total cropland-N2O emissions from 0.44 ± 0.03 Tg N/year in 2020 to 0.39 ± 0.07 Tg N/year in 2070, consistent with a cropland area reduction from (1.78 ± 0.02) × 108 ha to (1.40 ± 0.15) × 108 ha. However, approximately 31% of all calculated cities in China would emit more than the present level. Furthermore, different land use and climate change scenarios would have important impacts on cropland-N2O emissions. The Grain for Green Plan implemented in China would effectively control emissions by approximately 12%.

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“…The Noah-MP model was developed from the Noah LSM with several major improvements (Niu et al, 2011;Yang et al, 2011). It provides multiple parameterization options for the key biogeophysical processes, including a separate vegetation canopy, a two-stream radiation transfer approach and a short-term dynamic vegetation scheme.…”

Section: Noah-mp Modelmentioning

confidence: 99%

A Study on the Fully Coupled Atmosphere-Land-Hydrology Process and Streamflow Simulations over the Source Region of the Yellow River

Chen

Wen

Meng

et al. 2023

Preprint

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Abstract. The Source Region of the Yellow River (SRYR) is known as the "Water Tower of the Yellow River", which is the most important water conservation area in the upper reaches of the Yellow River. The streamflow of the SRYR makes an important contribution to the water resources in the Yellow River basin. Based on the Weather Research and Forecasting Model Hydrological modeling system (WRF-Hydro) model, by using meteorological, hydrological observations and reanalysis data, the key variables of the coupled atmosphere-land-hydrological processes over the SRYR during the 2013 rainy season (May–August) are analyzed, and the simulation results of the fully coupled WRF-Hydro with those of the standalone WRF are compared, whose aim is to assess the impact of hydrological coupling on the regional atmospheric model settings. The results show that the WRF-Hydro model has ability to depict the characteristics of streamflow over the SRYR with a Nash Efficiency Coefficient (NSE) of 0.44 during the calibration period from June 1st, 2012 to September 30th, 2012 and a NSE of 0.61 during the validation period from May 1st, 2013 to August 31st, 2013. Compared with the standalone WRF model, the fully coupled model tends to show better performance with respect to temperature, downward longwave radiation, downward shortwave radiation, latent heat, sensible heat and soil temperature and moisture. Although the wet bias of the coupled simulated precipitation slightly increases (2.51 mm vs. 2.50 mm) due to the consideration of lateral flow of soil water, the simulation results of the land-atmosphere water-heat exchange fluxes and soil heat fluxes are comparably improved. Compared with the observations, the mean Root Mean Square Error (RMSE) of latent and sensible heat is reduced to 32.27 W∙m-2 and 24.91 W∙m-2, and of surface soil temperature and moisture is reduced to 4.22 K and 0.06 m3/m3. Besides, the fully coupled model is able to capture the variation characteristics of streamflow with a NSE of 0.33, which indicates that the fully coupled WRF-Hydro model has great potential for characterizing coupled atmosphere-land-hydrological processes and streamflow simulation in the cold climatical and complex topographic regions.

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Uncertainties of 3D soil hydraulic parameters in streamflow simulations using a distributed hydrological model system

Cited by 17 publications

References 60 publications

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

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

A Declining Trend in China’s Future Cropland-N₂O Emissions Due to Reduced Cropland Area

A Study on the Fully Coupled Atmosphere-Land-Hydrology Process and Streamflow Simulations over the Source Region of the Yellow River

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Uncertainties of 3D soil hydraulic parameters in streamflow simulations using a distributed hydrological model system

Cited by 17 publications

References 60 publications

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

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

A Declining Trend in China’s Future Cropland-N2O Emissions Due to Reduced Cropland Area

A Study on the Fully Coupled Atmosphere-Land-Hydrology Process and Streamflow Simulations over the Source Region of the Yellow River

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A Declining Trend in China’s Future Cropland-N₂O Emissions Due to Reduced Cropland Area