Numerical Modeling Applications of Extreme Weather Events and Climate Change
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 73
Special Issue Editors
Interests: numerical weather prediction models; physical meteorology; weather forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: numerical model development and application; seamless weather and climate prediction; refined simulation of urban atmosphere; climate dynamics
Special Issue Information
Dear Colleagues,
Numerical models are essential tools for understanding the complex interactions between the atmosphere, land, and marine surfaces, offering vital insights into extreme events like storms, floods, heatwaves, and droughts. As the frequency and intensity of such events increase due to climate change, understanding their underlying physical mechanisms and predicting their development have become more important and challenging than ever. This Special Issue will focus on the application of numerical modeling to extreme weather events and their broader implications for climate change. We expect contributions to explore various types of models, ranging from global and regional climate models to high-resolution, process-based simulations. Topics might include advancements in model accuracy, uncertainty quantification, the role of coupled systems, and the integration of artificial intelligence and ensemble approaches to enhance model capabilities. The Special Issue is anticipated to demonstrate how these models not only improve forecasting but also assess climate change risks, inform policy, and guide adaptation strategies. By presenting these studies, we aim to deepen our understanding of extreme weather in a changing climate and address the challenges and future directions in this area of research. This collection seeks to advance both the science and application of numerical models in responding to climate-related extreme events.
Dr. Euripides N. Avgoustoglou
Dr. Xiaofei Wu
Guest Editors
Manuscript Submission Information
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Keywords
- numerical modeling
- extreme weather events
- meteorology
- climatology
- artificial intelligence
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