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Extreme Weather Forecasting reviews current knowledge about extreme weather events, including key elements and less well-known variables to accurately forecast them. The book covers multiple temporal scales as well as components of current weather forecasting systems. Sections cover case studies on successful forecasting as well as the impacts of extreme weather predictability, presenting a comprehensive and model-agnostic review of best practices for atmospheric scientists and others who utilize extreme weather forecasts.
I. Overview of extreme weather events, impacts and forecasting techniques.
1. Definition of extreme weather events / Marina Astitha and Efthymios Nikolopoulos
2. Weather forecasting / Marina Astitha, Linus Magnusson, Efthymios Nikolopoulos
3. Extreme weather forecasting in urban areas / Mukul Tewari, Zhihua Wang, Dan Chen, Quang-Van Doan, Hiroyuki Kusaka, Prathap Ramamurthy and Pallav Ray
4. Wildfires and weather / Branko Kosovíc, Timothy W. Juliano, Amy DeCastro, Maria Frediani, Amanda Siems-Anderson, Pedro Jimenez, Domingo Muñoz-Esparza, Jason C. Knievel and Masih Eghdami
II. Operational multiscale predictions of hazardous events / Linus Magnusson, C. Prudhomme, F. Di Giuseppe, C. Di Napoli and F. Pappenberger
1. Introduction
2. Example case: 2015 European heatwave
3. Key factors of predictability
4. Hazard forecasting
5. Evaluation of hazardous events
6. Conclusion
7. Summary
III. Forecasting extreme weather events and associated impacts: Case Studies
1. Extreme heat / Martina Calovi, Weiming Hu, Laura Clemente and Guido Cervone
2. Atmospheric rivers / Forest Cannon and Luca Delle Monache
3. The hydrological Hillslope-Link Model for space-time prediction of streamflow: insights and applications at the Iowa Flood Center / Ricardo Mantilla, Witold F. Krajewski, Nicolas Velasquez, Scott Small, Tibebu Ayalew, Felipe Quintero, Navid Jadidoleslam and Morgan Fonley
4. Social impacts: integrating dynamic social vulnerability in impact-based weather forecasting / Galateia Terti, Sandrine Anquetin and Isabelle Ruin
5. Landslides and debris flows / Dalia B. Kirschbaum and Sana Khan
6. Weather-induced power outages / Diego Cerrai and Emmanouil Anagnostou
Dr Marina Astitha is an Associate Professor and the Associate Department Head at the Department of Civil and Environmental Engineering, University of Connecticut (UConn). Dr Astitha’s expertise lies in the areas of atmospheric numerical modelling (weather and air quality) from regional to global scales. She is leading the Atmospheric Modeling and Air Quality Group since joining UConn in 2013. Her research program focuses on improving the prediction of extreme weather events, wind prediction for wind farm facilities, and integration of multi-media modelling systems with machine learning to solve environmental problems. She is committed to supporting, mentoring, and inspiring the next generation of engineers to innovate, lead and thrive in solving complex environmental problems and sustain a healthy, diverse and equitable society in the years to come
Dr Efthymios Nikolopoulos is an Associate Professor at the Department of Civil and Environmental Engineering at Rutgers University. His research focuses on the integration of remote sensing observations with numerical and statistical modelling to advance the understanding and predictability of water cycle components and weather-related hazards. Dr Nikolopoulos has authored/co-authored more than 70 peer-reviewed publications and 8 book chapters in the areas of hydrometeorology, remote sensing of precipitation, flood hydrology and landslide/debris flow prediction. He is an Associate Editor for the Journal of Hydrology and the recipient of the NASA Earth System Science Graduate Fellowship and the Marie Curie Postdoctoral fellowship
