Multiscale assessments of hydroclimatic modelling uncertainties under a changing climate
Journal of Water and Climate Change, 2022 Since the 1970s, climate change has led to decreasing water resources in the Sahel. To cope with climate change, reliable modelling of future hydroclimatic evolutions is required.
Ganiyu Titilope Oyerinde +2 more
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Hydrological performance of ERA5 and MERRA-2 precipitation products over the Great Lakes Basin
Journal of Hydrology: Regional Studies, 2022 Study region: The Laurentian Great Lakes Basin (GLB) of North America. Study focus: Precipitation is often the paramount driver in hydrological systems and dynamics. Gridded precipitation data from the fifth generation of European Centre for Medium-Range
Xiaoyong Xu, Steven K. Frey, David Ma
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Socio-hydrological modelling: a review asking "why, what and how?" [PDF]
Hydrology and Earth System Sciences, 2016 Interactions between humans and the environment are occurring on a scale that has never previously been seen; the scale of human interaction with the water cycle, along with the coupling present between social and hydrological systems, means that ...
P. Blair, W. Buytaert
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Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin [PDF]
Natural Hazards and Earth System Sciences, 2023 The typical drivers of drought events are lower than normal precipitation and/or higher than normal evaporation. The region's characteristics may enhance or alleviate the severity of these events.
A. Paez-Trujilo +8 more
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Quantile-Based Hydrological Modelling [PDF]
Water, 2021 Predictive uncertainty in hydrological modelling is quantified by using post-processing or Bayesian-based methods. The former methods are not straightforward and the latter ones are not distribution-free (i.e., assumptions on the probability distribution of the hydrological model’s output are necessary).
Hristos Tyralis +1 more
openaire +2 more sources
Hydrology Research, 2021 In this study, we present a post-processing technique designed to assess conditional predictive uncertainty for quantitative precipitation forecasts (QPFs) that extends to the multivariate predictor case.
Daniela Biondi +2 more
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Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective [PDF]
Hydrology and Earth System Sciences, 2021 Following the rise of R as a scientific programming language, the increasing requirement for more transferable research and the growth of data availability in hydrology, R packages containing hydrological models are becoming more and more available as an
P. C. Astagneau +9 more
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Regionalization of catchment hydrological model parameters for global water resources simulations
Hydrology Research, 2022 Parameter regionalization of hydrological models is one of the most commonly used methods for hydrological prediction over ungauged catchments. Although there were many regional studies, there is no clear conclusion on the best-performing regionalization
Wen-yan Qi +6 more
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Simulating Weather Events with a Linked Atmosphere-Hydrology Model [PDF]
Revista Brasileira de Meteorologia, 2020 This study aims at assess the importance of a conceptual representation of hydrological processes when modelling atmospheric circulation. It compares results from a regional atmospheric model that interprets land surface hydrological processes based on ...
Fábio Farias Pereira +1 more
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Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions [PDF]
Hydrology and Earth System Sciences, 2023 Hydrological models are widely used to characterize, understand and manage hydrosystems. Lumped parameter models are of particular interest in karst environments given the complexity and heterogeneity of these systems.
G. Cinkus +11 more
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