Sub-seasonal to Seasonal Prediction

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.