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Sub-Seasonal to Seasonal Prediction - 2nd Edition by Andrew Robertson & Frederic Vitart (Paperback)

Sub-Seasonal to Seasonal Prediction - 2nd Edition by  Andrew Robertson & Frederic Vitart (Paperback) - 1 of 1
$135.00 when purchased online
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About this item

Highlights

  • 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.
  • Author(s): Andrew Robertson & Frederic Vitart
  • 600 Pages
  • Science, Earth Sciences

Description



Book Synopsis



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.

Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 600
Genre: Science
Sub-Genre: Earth Sciences
Publisher: Elsevier
Theme: Meteorology & Climatology
Format: Paperback
Author: Andrew Robertson & Frederic Vitart
Language: English
Street Date: October 1, 2025
TCIN: 1003556298
UPC: 9780443315381
Item Number (DPCI): 247-26-3242
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1 pounds
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