Extreme Weather Forecasting

Extreme Weather Forecasting

1st Edition - October 11, 2022

Write a review

  • Editors: Marina Astitha, Efthymios Nikolopoulos
  • eBook ISBN: 9780128202432
  • Paperback ISBN: 9780128201244

Purchase options

Purchase options
DRM-free (PDF, EPub)
Available
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order

Description

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.

Key Features

  • 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

Readership

Atmospheric Sciences. Earth Sciences, Environmental Engineering, Environmental Sciences

Table of Contents

      1. Overview of extreme weather events, impacts and forecasting techniques.
        1. Definition of extreme weather events
        2. Marina Astitha and Efthymios Nikolopoulos

        3. Weather forecasting
        4. Marina Astitha, Linus Magnusson, Efthymios Nikolopoulos

        5. Extreme weather forecasting in urban areas
        6. Mukul Tewari, Zhihua Wang, Dan Chen, Quang-Van Doan, Hiroyuki Kusaka, Prathap Ramamurthy and Pallav Ray

        7. 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
      3. 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

      4. Forecasting extreme weather events and associated impacts: Case Studies
        1. Extreme heat
        2. Martina Calovi, Weiming Hu, Laura Clemente and Guido Cervone

        3. Atmospheric rivers
        4. Forest Cannon and Luca Delle Monache

        5. The hydrological Hillslope-Link Model for space-time prediction of streamflow: insights and applications at the Iowa Flood Center
        6. Ricardo Mantilla, Witold F. Krajewski, Nicolas Velasquez, Scott Small, Tibebu Ayalew, Felipe Quintero, Navid Jadidoleslam and Morgan Fonley

        7. Social impacts: integrating dynamic social vulnerability in impact-based weather forecasting
        8. Galateia Terti, Sandrine Anquetin and Isabelle Ruin

        9. Landslides and debris flows
        10. Dalia B. Kirschbaum and Sana Khan

        11. Weather-induced power outages 

                                  Diego Cerrai and Emmanouil Anagnostou

Product details

  • No. of pages: 358
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: October 11, 2022
  • Imprint: Elsevier
  • eBook ISBN: 9780128202432
  • Paperback ISBN: 9780128201244

About the Editors

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, USA

Efthymios 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, USA

Ratings and Reviews

Write a review

There are currently no reviews for "Extreme Weather Forecasting"