Subseasonal to Seasonal Prediction : The Gap between Weather and Climate Forecasting （2ND）

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Subseasonal to Seasonal Prediction : The Gap between Weather and Climate Forecasting （2ND）

Robertson, Andrew (EDT)/ Vitart, Frederic (EDT)

ウェブストア価格 ¥29,841（本体¥27,129）
Elsevier - Health Sciences Division（2025/11発売）
外貨定価 US$ 135.00
ポイント 271pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 896 p.
言語 ENG
商品コード 9780443315381
DDC分類 551.6

Full Description

Subseasonal-to-Seasonal Prediction provides the latest thinking from experts in the fields of sub-seasonal to seasonal (S2S) predictability science, numerical modeling, operational forecasting, and developing application sectors. This fully updated second edition comprehensively covers the sources of S2S predictability, S2S modeling, and forecasting using dynamical or machine learning methods, 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.

1. Introduction: why subseasonal-to-seasonal prediction?
2. Weather forecasting: what sets the forecast skill horizon?
3. Weather within climate: subseasonal predictability of tropical daily rainfall characteristics
4. The Madden-Julian oscillation
5. Extratropical subseasonal-to-seasonal oscillations and multiple regimes: the dynamical systems view
6. Tropical-extratropical interactions and teleconnections
7. Land surface processes relevant to subseasonal-to-seasonal prediction
8. The role of the ocean in subseasonal-to-seasonal predictability and prediction
9. The role of sea ice in subseasonal to seasonal predictability
10. Subseasonal predictability and the stratosphere
11. Forecast system design, configuration, and complexity
12. The THORPEX interactive grand global ensemble and subseasonal-to-seasonal ensembles
13. Forecast recalibration and multimodel combination
14. Forecast verification for subseasonal-to-seasonal timescales
15. Machine learning for subseasonal-to-seasonal prediction
16. Subseasonal-to-seasonal prediction of weather extremes
17. Pilot experiences in using seamless forecasts for early action: Ready-Set-Go approach in the Red Cross
18. Communication and dissemination of forecasts and engaging user communities
19. Subseasonal prediction of Indian summer monsoon variability and extreme weather events
20. Predicting climate impacts on health at subseasonal to seasonal timescales
21. Coproducing reliable, actionable subseasonal-to-seasonal climate services across Africa
22. Subseasonal to seasonal climate predictions for energy
23. Subseasonal to seasonal forecasts enhance effective marine decision-making in a fast-changing ocean
24. Epilogue