[HTML][HTML] Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures
Hydrological models are evaluated by comparisons with observed hydrological quantities
such as streamflow. A model evaluation procedure should account for dominantly epistemic …
such as streamflow. A model evaluation procedure should account for dominantly epistemic …
[HTML][HTML] Streamflow response to land use/land cover change in the tropical Andes using multiple SWAT model variants
Study region Tropical watershed in the Colombian Andes, the Chico River (CR) watershed.
Study focus Hydrological models are widely used to project the impacts of LULC (Land …
Study focus Hydrological models are widely used to project the impacts of LULC (Land …
Advancing streamflow prediction in data-scarce regions through vegetation-constrained distributed hybrid ecohydrological models
Hybrid models that combine deep learning with physical principles have recently shown
significant promise in improving streamflow prediction in data-scarce regions, achieving …
significant promise in improving streamflow prediction in data-scarce regions, achieving …
Tradeoffs between temporal and spatial pattern calibration and their impacts on robustness and transferability of hydrologic model parameters to ungauged basins
Optimization of spatially consistent parameter fields is believed to increase the robustness of
parameter estimation and its transferability to ungauged basins. The current paper extends …
parameter estimation and its transferability to ungauged basins. The current paper extends …
Benefit of multivariate model calibration for different climatic regions
Hydrological models are traditionally calibrated against observed discharge. However, for a
given model, similar performance for discharge simulation can be achieved through a …
given model, similar performance for discharge simulation can be achieved through a …
Optimizing flood predictions by integrating LSTM and physical-based models with mixed historical and simulated data
J Li, G Wu, Y Zhang, W Shi - Heliyon, 2024 - cell.com
The current flood forecasting models heavily rely on historical measured data, which is often
insufficient for robust predictions due to practical challenges such as high measurement …
insufficient for robust predictions due to practical challenges such as high measurement …
[HTML][HTML] A multi-variable calibration framework at the grid scale for integrating streamflow with evapotranspiration data to improve the simulation of distributed …
Abstract Study region The Ganjiang River Basin, China Study focus Parameter calibration is
crucial for the accurate and reliable operation of hydrological models. Traditional methods …
crucial for the accurate and reliable operation of hydrological models. Traditional methods …
Learning distributed parameters of land surface hydrologic models using a Generative Adversarial Network
Land surface hydrologic models adeptly capture crucial terrestrial processes with a high
level of spatial detail. Typically, these models incorporate numerous uncertain, spatially …
level of spatial detail. Typically, these models incorporate numerous uncertain, spatially …
Evaluating surface and subsurface fluxes in hydrological models to advance basin-scale operational water supply forecasting
Comprehensive assessments of hydrological components are crucial for enhancing
operational water supply simulations. However, hydrological models are often evaluated …
operational water supply simulations. However, hydrological models are often evaluated …
Modeling the dynamics of evapotranspiration of wolfberry (Lycium barbarum L.) under different cultivation methods on the Tibetan Plateau
J Wang, Y Cai, X Gao, Y Zhou, P Wu, X Zhao - Journal of Hydrology, 2024 - Elsevier
The Tibetan Plateau (TP), also known as the “Roof of the World”, is the highest and largest
plateau on Earth (Immerzeel et al., 2010). Despite being one of the least hospitable …
plateau on Earth (Immerzeel et al., 2010). Despite being one of the least hospitable …