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Sub-seasonal to Seasonal Prediction
◆日本地質学会第132年学術大会セール 開催中！：2025年10月24日(金)ご注文分まで
※上記表示の販売価格は割引適用後の価格です 出版済み 3-5週間でお届けいたします。 Title: Sub-seasonal to Seasonal Prediction Subtitle: The Gap Between Weather and Climate Forecasting Author: Robertson, Andrew (Senior Research Scientist, International Research Institute for Climate and Society, Earth Institute, Columbia University, NY, USA) / Vitart, Frederic (Senior Research Scientist, European Centre for Medium-range Weather Forecasts (ECMWF Publisher: Elsevier ISBN: 9780443315381 Cover: PAPERBACK Date: 2025年10月 DESCRIPTION Sub-seasonal 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. TABLE OF CONTENTS Part I: Setting the scene 1. Introduction: Why S2S? 2. Weather forecasting: What sets the forecast horizon? 3. Weather within Climate: Sub-seasonal predictability of tropical daily rainfall characteristics Part II: Sources of S2S Predictability 4. The Madden-Julian Oscillation 5. Extratropical sub-seasonal-to-seasonal oscillations and multiple regimes: The dynamical systems view 6. Tropical-Extratropical Interactions and Teleconnections 7. Land surface processes relevant to S2S prediction 8. Role of ocean in sub-seasonal predictability 9. The role of sea ice in sub-seasonal predictability 10. Sub-seasonal Predictability and the Stratosphere Part III: S2S Modeling and Forecasting 11. Forecast system design, configuration, complexity 12. Ensemble generation: the TIGGE and S2S ensembles 13. Forecast recalibration and multi-model combination 14. Forecast verification for S2S time scales 15. Machine learning S2S prediction Part IV: S2S Applications 16. Sub-seasonal to Seasonal Prediction of Weather Extremes 17. Communication and dissemination of forecasts and engaging user communities 18. Seamless prediction of monsoon onset and active/break phases 19. Predicting climate impacts on health at sub-seasonal to seasonal timescales 20. Co-produced S2S Climate Services in Africa 21. S2S for Energy 22. Marine weather prediction on S2S timescales 23. Epilogue 最近チェックした商品
18,938円(税1,721円)
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