Advances in Extreme Hydrological Events Modeling
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water and Climate Change".
Deadline for manuscript submissions: 20 August 2025 | Viewed by 778
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue of Water, titled "Advances in Extreme Hydrological Events Modeling", aims to provide a scientific platform for exploring innovative methodologies and advanced tools to enhance the understanding, prediction, and management of extreme hydrological events. These phenomena, including extreme precipitation, droughts, floods, and streamflow extremes, represent critical challenges under the influence of a changing climate.
We invite high-quality research contributions focusing on the frequency, intensity, and spatial distribution of extreme precipitation events. Submissions that advance the analysis of streamflow extremes and their recurrence intervals are particularly welcome, as these metrics are essential for understanding the dynamics of riverine systems during extreme events. Furthermore, we invite contributions utilizing machine learning, deep learning, and innovative approaches to advance the prediction, analysis, and management of extreme precipitation, droughts, floods, and streamflow variability. This Special Issue emphasizes the significance of uncertainty analysis in modeling extreme hydrological events. We seek research that quantifies uncertainties in precipitation, streamflow, and other hydrological extremes, providing robust frameworks for improved predictive modeling and risk assessments. Innovative approaches integrating uncertainty quantification into hydrological and climate models are particularly valuable.
Additionally, we encourage submissions that showcase the application of data assimilation techniques to improve the accuracy of extreme event predictions. These approaches are critical for integrating observational data with model outputs, enabling real-time forecasting and enhanced decision-making capabilities. We welcome research that advances our understanding of drought dynamics and flood events, including their spatiotemporal characteristics, causative factors, and long-term trends. Contributions that investigate the impacts of climate change on these hydrological extremes, along with adaptive strategies to mitigate their adverse effects, are highly relevant to this Special Issue. By bringing together a diverse collection of original research articles, comprehensive review papers, and practical case studies, this Special Issue aims to foster interdisciplinary collaboration and advance the scientific knowledge required to address the complex challenges of extreme hydrological events.
Dr. Majid Mirzaei
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- extreme hydrological events
- extreme precipitation
- frequency analysis
- drought
- floods
- climate change impacts
- uncertainty analysis
- data assimilation
- hydrological modeling
- machine learning
- deep learning
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