Results 121 to 130 of about 13,792,503 (142)

Floodplain inundation in the Murray-Darling Basin under current and future climate conditions. [PDF]

Sci Rep
Teng J, Chiew FHS, Zheng H, Yang A, Penton DJ, Ticehurst C, Marvanek S, Vaze J, Khanam F, Post DA, Pollino C.   +10 more
europepmc   +1 more source

Monitoring ground water storage at mesoscale using seismic noise: 30 years of continuous observation and thermo-elastic and hydrological modeling. [PDF]

Sci Rep, 2017
Lecocq T, Longuevergne L, Pedersen HA, Brenguier F, Stammler K.   +4 more
europepmc   +1 more source

Physically based vs. data-driven models for streamflow and reservoir volume prediction at a data-scarce semi-arid basin. [PDF]

Environ Sci Pollut Res Int
Özdoğan-Sarıkoç G, Dadaser-Celik F.
europepmc   +1 more source

Multi-step ahead streamflow and uncertainty forecasting using a HyMoLAP rainfall-runoff model-based framework integrated with Bayesian neural networks in the Ouémé river basin, Benin. [PDF]

PLoS One
Ezéckiel Houénafa S, Johnson O, Ronoh EK, Moore SE.   +3 more
europepmc   +1 more source

Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths. [PDF]

Sci Rep
Fathi MM, Al Mehedi MA, Smith V, Fernandes AM, Hren MT, Terry DO.   +5 more
europepmc   +1 more source

Spatiotemporal changes in river flow seasonality and predictability using Colwell indices in Northwestern Iran. [PDF]

Sci Rep
Momenian P, Alaei N, Mostafazadeh R.
europepmc   +1 more source

Improving Efficiency of Hydrological Prediction Based on Meteorological Classification: A Case Study of GR4J Model

Water (Switzerland), 2021
Distribution of hydrological parameters is varied under contrasting meteorological conditions. However, how to determine the most suitable parameters on a predefined meteorological condition is challenging.
Lihua Xiong, Shenglian Guo
exaly   +2 more sources

Improving Parameter Transferability of GR4J Model under Changing Environments Considering Nonstationarity

Water (Switzerland), 2019
Hydrological nonstationarity has brought great challenges to the reliable application of conceptual hydrological models with time-invariant parameters. To cope with this, approaches have been proposed to consider time-varying model parameters, which can ...
Dedi Liu, Lihua Xiong, Jong-Suk Kim
exaly   +2 more sources

A theoretical appraisal of the GR4J rainfall-runoff modelling framework [PDF]

Journal of Hydrology
The GR4J (Génie Rural à 4 paramètres Journalier) model is a widely used conceptual rainfall-runoff model that simulates river flow from daily precipitation and potential evapotranspiration data.
Andrew Ireson, Simon Mathias, Cyril Thebault   +2 more
exaly   +2 more sources

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Performance evaluation of conceptual rainfall-runoff models GR4J and AWBM

ISH Journal of Hydraulic Engineering, 2021
Aiswarya Kunnath-Poovakka, Aatish Anshuman, T I Eldho   +2 more
exaly