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Extreme Weather Forecasting
- 1st Edition - October 11, 2022
- Editors: Marina Astitha, Efthymios I. Nikolopoulos
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 1 2 4 - 4
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 2 4 3 - 2
Extreme Weather Forecasting reviews current knowledge about extreme weather events, including key elements and less well-known variables to accurately forecast them. The book c… Read more
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Request a sales quoteExtreme 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.
- Reviews recent developments in numerical prediction for better forecasting of extreme weather events
- Covers causes and mechanisms of high impact extreme events and how to account for these variables when forecasting
- Includes numerous case studies on successful forecasting, outlining why they worked
Atmospheric Sciences. Earth Sciences, Environmental Engineering, Environmental Sciences
1. Overview of extreme weather events, impacts and forecasting techniques.
1. Definition of extreme weather eventsMarina Astitha and Efthymios Nikolopoulos2. Weather forecasting Marina Astitha, Linus Magnusson, Efthymios Nikolopoulos3. Extreme weather forecasting in urban areasMukul Tewari, Zhihua Wang, Dan Chen, Quang-Van Doan, Hiroyuki Kusaka, Prathap Ramamurthy and Pallav Ray4. 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 Eghdami2. Operational multiscale predictions of hazardous events Linus Magnusson, C. Prudhomme, F. Di Giuseppe, C. Di Napoli and F. Pappenberger1. Introduction2. Example case: 2015 European heatwave3. Key factors of predictability4. Hazard forecasting5. Evaluation of hazardous events 6. Conclusion 7. Summary
3. Forecasting extreme weather events and associated impacts: Case Studies1. Extreme heat Martina Calovi, Weiming Hu, Laura Clemente and Guido Cervone2. Atmospheric riversForest Cannon and Luca Delle Monache3. 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 Fonley4. Social impacts: integrating dynamic social vulnerability in impact-based weather forecastingGalateia Terti, Sandrine Anquetin and Isabelle Ruin5. Landslides and debris flows Dalia B. Kirschbaum and Sana Khan6. Weather-induced power outages Diego Cerrai and Emmanouil Anagnostou
- No. of pages: 358
- Language: English
- Edition: 1
- Published: October 11, 2022
- Imprint: Elsevier
- Paperback ISBN: 9780128201244
- eBook ISBN: 9780128202432
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Marina Astitha
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 lie in the areas of atmospheric numerical modeling (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 modeling systems with machine learning to solve environmental problems. She is committed in 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
Affiliations and expertise
Associate Professor, Associate Department Head, Department of Civil and Environmental Engineering, School of Engineering, University of Connecticut, CT, USAEN
Efthymios I. Nikolopoulos
Dr. Efthymios Nikolopoulos is 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 modeling to advance 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
Affiliations and expertise
Civil and Environmental Engineering, Rutgers University, New Brunswick, NJ, USARead Extreme Weather Forecasting on ScienceDirect