Hydroclimate Extremes Under Climate Change
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".
Deadline for manuscript submissions: 24 February 2026 | Viewed by 908
Special Issue Editor
Interests: hydrologic frequency analysis; climate change impact on extremes; regional frequency analysis; spatial modeling; hydrological modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the climate continues to change, extreme hydrological events —such as intense rainfall, prolonged droughts, and severe floods —are becoming more frequent and intense. These shifts in hydroclimate patterns present serious challenges to water resource management, infrastructure resilience, and ecosystem health. Understanding how these extremes are evolving across both space and time is crucial for effective planning and climate adaptation.
This Special Issue invites original research on hydroclimatic extremes in the context of climate change, with a focus on both historical analyses and future projections. Contributions using CMIP6 climate model outputs, regional frequency analysis, non-stationary extreme value approaches, and spatial modeling techniques are particularly encouraged. Studies should aim to identify trends, evaluate non-stationarity, and quantify uncertainties in hydroclimate variables across diverse geographic and climatic settings.
We also welcome research on compound events (e.g., simultaneous droughts and heatwaves) and the role of climate teleconnections (e.g., ENSO, NAO) in influencing regional hydrology. Submissions may draw upon observational data, reanalysis products, or modeling frameworks, including statistical and machine learning methods.
This issue aims to promote interdisciplinary research that enhances the understanding and prediction of hydroclimate extremes, thereby supporting science-informed risk assessment and water management in a changing climate.
Dr. Samiran Das
Guest Editor
Manuscript Submission Information
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Keywords
- extreme precipitation
- flood risk assessment
- drought variability
- climate change impact
- hydrological modeling
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