Weather and Climate

Name: Weather and Climate
Brand: Elsevier Science
SKU: 9780443403606
Price: 627.84 PLN
Availability: PreOrder

Applications of Machine Learning and Artificial Intelligence

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

Język:

Oprawa: Miękka

Wydawca: Elsevier Science

Dostępność: Oczekiwana premiera

Wydanie 01. 01. 2027

627.84 zł

Weather and Climate: Applications of Machine Learning and Artificial Intelligence provides a compreh...

Informacje o książce

Autor

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

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2026

strony

300

EAN

9780443403606

ISBN

0443403600

Enbook ID

49384074

Wydawca

Elsevier Science

Waga

450

Wymiary

191 x 235

Pełny opis

Weather and Climate: Applications of Machine Learning and Artificial Intelligence provides a comprehensive exploration of machine learning in the context of weather forecasting and climate research. The authors begin with an introduction to the fundamentals and statistical tools of machine learning, followed by an overview of various machine learning models. Emulation and machine learning of sub-grid scale parametrizations are discussed, along with the application of AI/ML in weather forecasting and climate models. Next, the book delves into the concept of explainable AI (XAI) methods for understanding ML and AI models, as well as the use of generative AI in weather and climate research. It explores the interface of data assimilation and machine learning for weather forecasting, showcasing case studies of machine learning applied to environmental monitoring data. The book concludes by looking ahead to the future of ML and AI in climate and weather-related research, providing references for further reading. This comprehensive guide offers valuable insights into the intersection of machine learning, artificial intelligence, and atmospheric science, highlighting the potential for innovation and advancement in weather and climate research.

Provides a concise, singular resource for understanding machine learning and fundamental statistical tools relevant to weather and climate modelling
Examines state-of-the-art AI and ML approaches and their implementation in weather and climate, with extensive Python and Jupyter Notebooks for readers
Discusses future directions and the latest, most cutting-edge developments and applications of AI and ML to weather and climate science

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