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A multi-model approach to the simulation of large scale karst flows
(Journal of Hydrology, 2008)
The possible effects of water transfer through a tunnel from Fatnicko Polje to Bile a Reservoir on the hydrologic regime of the Bregava River located. in Eastern Herzegovina, in an area characterised by a predominantly ...
Bed-mounted Electro Magnetic meters: Implications for robust velocity measurement in Urban Drainage systems
(Elsevier B.V., 2018)
Flow monitoring in Urban Drainage Systems (UDS) is required for a successful system control and operational assessment. Commonly used methods can lead to erroneous results in partially filled pipes and hostile environmental ...
The 3DNet-Catch hydrologic model: Development and evaluation
(Elsevier B.V., 2019)
Hydrologic models are important for effective water resources management. They vary in complexity from parsimonious, spatially lumped, to physically-based, fully distributed models, which are generally expected to outperform ...
A joint stochastic-deterministic approach for long-term and short-term modelling of monthly flow rates
(Elsevier B.V., 2017)
The authors present a detailed procedure for modelling of mean monthly flow time-series using records of the Great Morava River (Serbia). The proposed procedure overcomes a major challenge of other available methods by ...
Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone?
(Elsevier, 2024)
Multi-model combination (averaging) methods (MMCMs) are used to improve the accuracy of hydrological (precipitation-runoff) outputs in simulation or forecasting/prediction modes. In this paper, we examined if the application ...
Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate
(Elsevier, 2023)
Hydrological climate-change-impact studies depend on climatic variables simulated by climate models. Due to parametrization and numerous simplifications, however, climate-model outputs come with systematic biases compared ...