Extreme Weather Forecasting

ISBN-13: 9780128201244 / Angielski / Miękka / 2022

Marina Astitha; Efthymios I. Nikolopoulos

Spis treści

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 Eghdami

2. 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

O autorze

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 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