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Aikaterini Lyra, Athanasios Loukas, Pantelis Sidiropoulos and Lampros Vasiliades
This study presents the projected future evolution of water resource balance and nitrate pollution under various climate change scenarios and climatic models using a holistic approach. The study area is Almyros Basin and its aquifer system, located in Ce...
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Rafiu Oyelakin, Wenyu Yang and Peter Krebs
Fitting probability distribution functions to observed data is the standard way to compute future design floods, but may not accurately reflect the projected future pattern of extreme events related to climate change. In applying the latest coupled model...
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Charalampos Skoulikaris
Large-scale hydrological modeling is an emerging approach in river hydrology, especially in regions with limited available data. This research focuses on evaluating the performance of two well-known large-scale hydrological models, namely E-HYPE and LISF...
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Gamil Gamal, Pavol Nejedlik and Ahmed M. El Kenawy
Understanding long-term variations in precipitation is crucial for identifying the effects of climate change and addressing hydrological and water management issues. This study examined the trends of the mean and four extreme precipitation indices, which...
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Susen Shrestha, Mattia Zaramella, Mattia Callegari, Felix Greifeneder and Marco Borga
This study aims to evaluate the potential of ERA5 precipitation and temperature reanalysis for snow water equivalent (SWE) simulation by considering the role of catchment spatial scale in controlling the errors obtained by comparison with corresponding S...
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André M. Claro, André Fonseca, Helder Fraga and João A. Santos
The susceptibility to precipitation extreme events (PEEs) and aridity in the Iberian Peninsula (IP) were assessed over a long historical period (1950?2022). Eight extreme precipitation and two aridity indices were calculated. Furthermore, two newly devel...
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Han Wang, Ping-an Zhong, Ervin Zsoter, Christel Prudhomme, Florian Pappenberger and Bin Xu
Our paper aims to improve flood forecasting by establishing whether a global hydrological forecast system could be used as an alternative to a regional system, or whether it could provide additional information. This paper was based on the operational Gl...
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Mohammed Renima, Ayoub Zeroual, Yasmine Hamitouche, Ali Assani, Sara Zeroual, Ahmed Amin Soltani, Cedrick Mulowayi Mubulayi, Sabrina Taibi, Senna Bouabdelli, Sara Kabli, Allal Ghammit, Idris Bara, Abdennour Kastali and Ramdane Alkama
The role of climate change in future streamflow is still very uncertain, especially over semi-arid regions. However, part of this uncertainty can be offset by correcting systematic climate models? bias. This paper tries to assess how the choice of a bias...
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Muhammad Usman, Rodrigo Manzanas, Christopher E. Ndehedehe, Burhan Ahmad, Oluwafemi E. Adeyeri and Cornelius Dudzai
This work evaluates the suitability of linear scaling (LS) and empirical quantile mapping (EQM) bias correction methods to generate present and future hydrometeorological variables (precipitation, temperature, and streamflow) over the Chitral River Basin...
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Shuang Li and Jie Shan
Quantile, equal interval, and natural breaks methods are widely used data classification methods in geospatial analysis and cartography. However, when applied to data with skewed distributions, they can only reveal the variations of either high frequent ...
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