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  • Sub-seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting
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Sub-seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting 2nd Edition, Kindle Edition


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Sub-seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting, Second Edition is a comprehensive resource that delves into the intricate realm of S2S predictability science. This volume brings together the latest advancements in numerical modeling, operational forecasting, and the development of application sectors. Bridging the gap between weather and climate forecasting, it provides atmospheric and climate scientists with the most recent insights and methodologies in this swiftly evolving field. This updated edition includes new chapters on the role of the ocean in sub-seasonal predictability, machine learning in S2S prediction, and the application of S2S climate services in Africa.It also explores S2S prediction for energy and marine weather forecasting. By addressing these various aspects, the book serves as a valuable guide for those seeking to understand and apply S2S predictions in their work.
- Provides contributed chapters from experts in S2S science and forecasting updated for use in an emerging and interdisciplinary field
- Synthesizes the state of S2S science through the use of concrete examples that enable potential users of S2S forecasts to quickly grasp the potential for use in their own decision setting
- Presents a broad set of interdisciplinary linked topics, illustrated with graphic examples to powerfully illustrate the interdisciplinary linkages
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A thorough assessment of weather and climate forecasting science on time scales from two weeks to a season --This text refers to the paperback edition.

From the Back Cover

Sub-seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting, Second Edition provides the latest thinking from experts in the fields of S2S predictability science, numerical modelling, operational forecasting, and developing application sectors. This fully updated second edition comprehensively covers the sources of S2S predictability, S2S modeling and forecasting, and S2S applications. There are brand new chapters on the role of the ocean in sub-seasonal predictability, machine learning in S2S prediction, co-produced S2S climate services in Africa, S2S for energy, and marine weather prediction on S2S timescales. This valuable resource offers atmospheric and climate scientists the very latest developments in this rapidly evolving field. --This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B0DQP1MVDD
  • Publisher ‏ : ‎ Elsevier
  • Accessibility ‏ : ‎ Learn more
  • Publication date ‏ : ‎ Oct. 1 2025
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • ISBN-13 ‏ : ‎ 978-0443315398

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