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Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …
research embracing a broad spectrum of operational situations. This work catalogs the …
[PDF][PDF] Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications
The Shu ed Complex Evolution (SCE-UA) method developed at the University of Arizona is
a global optimization algorithm, initially developed by Duan et al.[Duan, Q., Sorooshian, S …
a global optimization algorithm, initially developed by Duan et al.[Duan, Q., Sorooshian, S …
Toward continental hydrologic–hydrodynamic modeling in South America
Providing reliable estimates of streamflow and hydrological fluxes is a major challenge for
water resources management over national and transnational basins in South America …
water resources management over national and transnational basins in South America …
Streamflow prediction using deep learning neural network: case study of Yangtze River
D Liu, W Jiang, L Mu, S Wang - IEEE access, 2020 - ieeexplore.ieee.org
The most important motivation for streamflow forecasts is flood prediction and longtime
continuous prediction in hydrological research. As for many traditional statistical models …
continuous prediction in hydrological research. As for many traditional statistical models …
Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach
In this paper, we present a large-scale hydrologic model with a full one-dimensional
hydrodynamic module to calculate flow propagation on a complex river network. The model …
hydrodynamic module to calculate flow propagation on a complex river network. The model …
MGB-IPH model for hydrological and hydraulic simulation of large floodplain river systems coupled with open source GIS
Large-scale hydrological models are useful tools for water resources studies, however, river
network flow routing is generally represented using simplified methods, which may lead to …
network flow routing is generally represented using simplified methods, which may lead to …
Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates
Rainfall measurements by conventional raingauges provide relatively accurate estimates at
a few points of a region. The actual rainfield can be approximated by interpolating the …
a few points of a region. The actual rainfield can be approximated by interpolating the …
Improved transformer model for enhanced monthly streamflow predictions of the Yangtze River
C Liu, D Liu, L Mu - Ieee Access, 2022 - ieeexplore.ieee.org
Over the past few decades, floods have severely damaged production and daily life, causing
enormous economic losses. Streamflow forecasts prepare us to fight floods ahead of time …
enormous economic losses. Streamflow forecasts prepare us to fight floods ahead of time …
Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin
Remote sensing is considered the most effective tool for estimating evapotranspiration (ET)
over large spatial scales. Global terrestrial ET estimates over vegetated land surfaces are …
over large spatial scales. Global terrestrial ET estimates over vegetated land surfaces are …
[PDF][PDF] Assessment of climate change impacts on streamflow and hydropower potential in the headwater region of the Grande river basin, Southeastern Brazil
Maintaining water availability and electric energy production are the major concerns for the
future in countries which are extremely dependent on their water resources like Brazil. The …
future in countries which are extremely dependent on their water resources like Brazil. The …