Extreme Climate and Precipitation Variability: Advanced Modeling Approaches and Predictions
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water and Climate Change".
Deadline for manuscript submissions: 30 January 2027 | Viewed by 7
Special Issue Editors
Interests: extreme hydrological events; non-stationary hydrological frequency analysis; drought–flood abrupt alternation; evolution of water cycle; hydrological model
Interests: drought propagation; flash drought; drought–flood abrupt alternation; compound droughts and hot extremes; non-stationary flood and drought assessment
Special Issue Information
Dear Colleagues,
This Special Issue aims to study the non-stationary changes and impacts of climate and precipitation in a changing en-vironment. We invite original research and review articles on high-resolution regional climate models, hybrid modeling and prediction under the advanced machine learning/deep learning framework, and the exploration of water cycle im-pact mechanisms. By improving our modeling capabilities and prediction accuracy, this Special Issue aims to provide a strong scientific basis for climate adaptation, risk assessment and infrastructure planning.
Key areas of interest include precipitation data fusion correction, hydrometeorological modeling methods and attribu-tion mechanism analysis. The scope of this Special Issue includes, but is not limited to, the following topics:
- Mechanisms and dynamics of compounding extreme events;
- Satellite remote sensing in monitoring extreme precipitation;
- Machine learning and AI in precipitation forecasting;
- Uncertainty quantification in future climate projections;
- Climate change attribution and risk assessment.
Dr. Hao Cui
Dr. Menghao Wang
Dr. Linyong Wei
Guest Editors
Manuscript Submission Information
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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
- flood
- mechanisms of extreme precipitation change
- drought–flood abrupt alternation
- compound meteorological and hydrological events
- satellite precipitation monitoring
- precipitation fusion
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