Characterizing, Monitoring and Prediction of Hydrometeorological Extremes under Climate Change 2.0
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water and Climate Change".
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 1543
Special Issue Editors
Interests: climate change; hydroclimatic extremes; hydrometeorological prediction; big data; AI
Special Issues, Collections and Topics in MDPI journals
Interests: land–atmosphere interaction; climate change; hydrometeorology; machine learning techniques; flood monitoring and forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: drought monitoring; hydrological prediction; evapotranspiration; vegetation dynamics; climate change
Special Issues, Collections and Topics in MDPI journals
Interests: urban flood; compound flood; hydrodynamic model; extreme precipitation; sea level rise; climate change; urbanization; storm surge
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Climate change has altered the hydrological cycle that induces hydrometeorological extremes such as floods and droughts, leading to tremendous impacts on human society and the environment. Determining how to characterize, monitor, and predict/forecast hydrometeorological extremes represents a research hotspot and is crucial for decision making. Compared to the hydrometeorological mean states, the extremes show much more spatiotemporal heterogeneity and are less predictable with larger uncertainties, particularly in the context of climate change. In this Special Issue, we welcome papers focusing on hydrometeorological extremes, including but not limited to flood and drought characterization, monitoring, and prediction/forecasting. Both general methodological contributions and case studies of hydrometeorological extremes across different regions covering a wide range of spatial scales are welcome.
Dr. Xushu Wu
Dr. Jiabo Yin
Prof. Dr. Shengzhi Huang
Dr. Zhaoyang Zeng
Guest Editors
Manuscript Submission Information
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Keywords
- drought
- flooding
- hydrometeorological extremes
- climate change
- monitoring
- prediction
