[HTML][HTML] Daily reservoir inflow forecasting using weather forecast downscaling and rainfall-runoff modeling: Application to Urmia Lake basin, Iran

A Meydani, A Dehghanipour, G Schoups… - Journal of Hydrology …, 2022 - Elsevier
Study region This study develops the first daily runoff forecast system for Bukan reservoir in
Urmia Lake basin (ULB), Iran, a region suffering from water shortages and competing water …

Can eXplainable AI offer a new perspective for groundwater recharge estimation?—Global‐scale modeling using neural network

H Jung, J Saynisch‐Wagner… - Water Resources …, 2024 - Wiley Online Library
Due to the difficulties in estimating groundwater recharge and cross‐boundary nature of
many aquifers, estimating groundwater recharge at large scale has been called upon …

Multi-parameter approaches for improved ensemble prediction accuracy in hydrology and water quality modeling

S Shin, Y Her, R Muñoz-Carpena, YP Khare - Journal of Hydrology, 2023 - Elsevier
Ensemble approaches can be a quick way to improve hydrological prediction accuracy by
considering multiple plausible modeling representations of a system. Previous studies …

Evaluation and uncertainty assessment of weather data and model calibration on daily streamflow simulation in a large-scale regulated and snow-dominated river …

Y Chen, M Faramarzi, TY Gan, Y She - Journal of Hydrology, 2023 - Elsevier
The choice of proper input data and suitable calibration schemes is challenging in the
hydrological modeling of higher-latitude watersheds with their unique hydro-climatic …

[HTML][HTML] Comparing the ability of different remotely sensed evapotranspiration products in enhancing hydrological model performance and reducing prediction …

S Taia, A Scozzari, L Erraioui, M Kili, A Mridekh… - Ecological …, 2023 - Elsevier
The mitigation of uncertainties in the identification of natural systems is a fundamental
aspect in the development of hydrological models, and represents a major challenge for the …

Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability

S Nemri, C Kinnard - Journal of Hydrology, 2020 - Elsevier
Having a realistic estimation of snow cover by conceptual hydrological models continues to
challenge hydrologists. The calibration of the free model parameters is an unavoidable step …

Optimizing parameter estimation in hydrological models with convolutional neural network guided dynamically dimensioned search approach

AA Alexander, DN Kumar - Advances in Water Resources, 2024 - Elsevier
Hydrological model calibration plays a crucial role in estimating optimal parameters for
accurate simulation. Estimation of parameters is inevitable in hydrological modeling due to …

Automatic model structure identification for conceptual hydrologic models

D Spieler, J Mai, JR Craig, BA Tolson… - Water Resources …, 2020 - Wiley Online Library
Choosing (an) adequate model structure (s) for a given purpose, catchment, and data
situation is a critical task in the modeling chain. However, despite model intercomparison …

[HTML][HTML] Decoding the hundred-year water level changes of the largest Saline Lake in China: A joint lake-basin modeling study based on a revised SWAT+

Z Zhu, C Fu, H Wu, H Wu, Y Cao, Y **a - Journal of Hydrology: Regional …, 2023 - Elsevier
Abstract Study region Qinghai Lake Basin (QLB), the largest saline lake in China and its
collecting basin Study focus Climate change has caused clear shrinkage or dramatic water …

Multi-objective calibration by combination of stochastic and gradient-like parameter generation rules–the caRamel algorithm

C Monteil, F Zaoui, N Le Moine… - Hydrology and Earth …, 2020 - hess.copernicus.org
Environmental modelling is complex, and models often require the calibration of several
parameters that are not able to be directly evaluated from a physical quantity or field …