Parameter sensitivity analysis of the WRF-hydro modeling system for streamflow simulation: A case study in semi-humid and semi-arid Catchments of Northern China

Y Liu, J Liu, C Li, F Yu, W Wang, Q Qiu - Asia-Pacific Journal of …, 2021 - Springer
The WRF model is nowadays the most widely applied mesoscale numerical weather
prediction model. Its land-surface hydrological modeling module, WRF-Hydro, which is …

Response of sediments and phosphorus to catchment characteristics and human activities under different rainfall patterns with Bayesian Networks

G Jin, J Xu, Y Mo, H Tang, T Wei, YG Wang, L Li - Journal of Hydrology, 2020 - Elsevier
The rainfall patterns play an important role in determining the response of Suspended
Sediment (SS) and Total Phosphorus (TP) to influence factors, which is complex and needs …

A spatio-temporal evaluation of the WRF physical parameterisations for numerical rainfall simulation in semi-humid and semi-arid catchments of Northern China

J Tian, J Liu, J Wang, C Li, F Yu, Z Chu - Atmospheric Research, 2017 - Elsevier
Abstract Mesoscale Numerical Weather Prediction systems can provide rainfall products at
high resolutions in space and time, playing an increasingly more important role in water …

Discharge and suspended sediment patterns in a small mountainous watershed with widely distributed rock fragments

NF Fang, ZH Shi, FX Chen, HY Zhang, YX Wang - Journal of Hydrology, 2015 - Elsevier
Understanding and quantifying sediment loads is important in watersheds with highly
erodible materials, which will eventually cause environmental and ecological problems …

Spatiotemporal geostatistical analysis of precipitation combining ground and satellite observations

EA Varouchakis, DT Hristopulos, GP Karatzas… - Hydrology …, 2021 - iwaponline.com
Precipitation data are useful for the management of water resources as well as flood and
drought events. However, precipitation monitoring is sparse and often unreliable in regions …

Numerical rainfall simulation with different spatial and temporal evenness by using a WRF multiphysics ensemble

J Tian, J Liu, D Yan, C Li, F Yu - Natural Hazards and Earth …, 2017 - nhess.copernicus.org
The Weather Research and Forecasting (WRF) model is used in this study to simulate six
storm events in two semi-humid catchments of northern China. The six storm events are …

Partial least squares regression for determining the control factors for runoff and suspended sediment yield during rainfall events

N Fang, Z Shi, F Chen, Y Wang - Water, 2015 - mdpi.com
Multivariate statistics are commonly used to identify the factors that control the dynamics of
runoff or sediment yields during hydrological processes. However, one issue with the use of …

Daily Streamflow Time Series Modeling by Using a Periodic Autoregressive Model (ARMA) Based on Fuzzy Clustering

M Khazaeiathar, R Hadizadeh, N Fathollahzadeh Attar… - Water, 2022 - mdpi.com
The behavior of hydrological processes is periodic and stochastic due to the influence of
climatic factors. Therefore, it is crucial to develop the models based on their periodicity and …

Performance of the WRF model in simulating convective rainfall events in the humid subtropical monsoon climate region—Poyang Lake basin

J Wu, J Lu, X Chen - Theoretical and Applied Climatology, 2023 - Springer
Abstract The Weather Research and Forecasting (WRF) model can provide high-resolution
rainfall and is important for flood management and prevention. In order to evaluate the …

Spatio-temporal analysis of groundwater level in an arid area

A Alipour, S Hashemi, SBS Shokri… - … Journal of Water, 2018 - inderscienceonline.com
Sustainable management of precious groundwater resources is vital to growth, especially in
arid areas which they heavily depend on. In this study, monthly groundwater level time …