Simon Driscoll, Kieran M R Hunt, Laura Mansfield, Ranjini Swaminathan, Hong Wei, Eviatar Bach, Alison Peard

Broschiertes Buch

Weather and Climate

Applications of Machine Learning and Artificial Intelligence Volume 13

Beschreibung

Weather and Climate: Applications of Machine Learning and Artificial Intelligence offers a thorough and accessible introduction to how machine learning is transforming weather forecasting and climate research. The book opens by detailing the core principles and statistical methods behind machine learning, giving readers a solid foundation before moving into an informative survey of model types. Readers gain insight into how emulation and sub-grid scale parameterizations are revolutionizing computational approaches, while practical examples show how artificial intelligence and machine learning are being integrated with traditional forecasting techniques. Key chapters also address the importance of explainable AI, helping users interpret results and model behaviors. The book also investigates generative AI’s emerging role in atmospheric science and examines the convergence of data assimilation with machine learning for improved forecasting accuracy. Case studies highlight real-world applications in environmental monitoring, bridging theory and practice. Concluding with a forward-looking discussion, the authors consider the future impact of AI and machine learning on climate science, making this guide an essential resource for researchers and practitioners eager to explore new frontiers in weather and climate analytics.

Autor

Dr. Simon Driscoll has a background training in pure and applied mathematics, and a DPhil from the University of Oxford. Initially specialising in volcanic eruptions, stratospheric dynamics and geoengineering, he was part of the UK's Stratospheric Particle for Climate Engineering project. Accordingly he has extensive experience in atmospheric physics and climate modelling. His research has been covered in various newspapers and books around the world and he has featured in a documentary on geoengineering for VRT (Belgian national TV). Excited by the power and revolutionary potential of machine learning and AI techniques he refocused his research on machine learning methods as part of the Schmidt Sciences funded Scale Aware Sea Ice project. Based at the University of Cambridge he primarily focuses on building emulators of sub-grid scale parametrisations as well as conducting research into the AI weather forecasting models and other applications of ML and AI in weather and climate.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 300
• Erscheinungstermin: 1. Juli 2026
• Englisch
• Gewicht: 450g
• ISBN-13: 9780443403606
• ISBN-10: 0443403600
• Artikelnr.: 75165777