Subseasonal to Seasonal Prediction

The Gap Between Weather and Climate Forecasting

Andrew Robertson, Frederic Vitart (Herausgeber)

Buch | Softcover

896 Seiten

2025 | 2nd edition
Elsevier - Health Sciences Division (Verlag)
9780443315381 (ISBN)

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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.

Dr Andrew Robertson is a Senior Research Scientist at the International Research Institute for Climate and Society, part of the Earth Institute at Columbia University. He heads the IRI Climate Group and teaches as an adjunct professor at Columbia. Graduating with a PhD in atmospheric dynamics, he has over 30 years of experience in topics ranging from midlatitude meteorology, coupled ocean-atmosphere climate dynamics, sub-seasonal and seasonal forecasting, downscaling, and tailoring of climate information for use in conjunction with sectoral models for climate adaptation and risk management. He has taught in capacity building training courses around the world. Frédéric Vitart is a Senior Research Scientist at the European Centre for Medium-range Weather Forecasts (ECMWF). After graduating with a PhD in atmospheric and oceanic sciences from Princeton University, he joined ECMWF in 1998, where he leads the research on ensemble sub-seasonal forecasts. He has over 20 years of experience in sub-seasonal and seasonal prediction, couple ocean-atmosphere modeling, tropical and mid-latitude meteorology, tropical cyclone prediction. He is the author of over 100 publications in the peer-review literature and has taught in several training courses around the world.

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

Erscheinungsdatum	13.11.2025
Verlagsort	Philadelphia
Sprache	englisch
Maße	191 x 235 mm
Gewicht	450 g
Themenwelt	Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Angewandte Physik
ISBN-13	9780443315381 / 9780443315381
Zustand	Neuware