Sub-seasonal to Seasonal Prediction

The Gap Between Weather and Climate Forecasting

Andrew Robertson, Frederic Vitart (Herausgeber)

Buch | Softcover

585 Seiten

2018
Elsevier Science Publishing Co Inc (Verlag)
9780128117149 (ISBN)

Infos

The Gap Between Weather and Climate Forecasting: Sub-seasonal to Seasonal Prediction is an ideal reference for researchers and practitioners across the range of disciplines involved in the science, modeling, forecasting and application of this new frontier in sub-seasonal to seasonal (S2S) prediction. It provides an accessible, yet rigorous, introduction to the scientific principles and sources of predictability through the unique challenges of numerical simulation and forecasting with state-of-science modeling codes and supercomputers. Additional coverage includes the prospects for developing applications to trigger early action decisions to lessen weather catastrophes, minimize costly damage, and optimize operator decisions.

The book consists of a set of contributed chapters solicited from experts and leaders in the fields of S2S predictability science, numerical modeling, operational forecasting, and developing application sectors. The introduction and conclusion, written by the co-editors, provides historical perspective, unique synthesis and prospects, and emerging opportunities in this exciting, complex and interdisciplinary field.

Autor

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.

Inhalt

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
4. Identifying wave processes associated with predictability across time scales: An empirical normal mode approach

Part II: Sources of S2S Predictability
5. The Madden-Julian Oscillation
6. Extratropical sub-seasonal–to–seasonal oscillations and multiple regimes: The dynamical systems view
7. Tropical-Extratropical Interactions and Teleconnections
8. Land surface processes relevant to S2S prediction
9. Midlatitude Meso-scale Ocean-Atmosphere Interaction and Its Relevance to S2S Prediction
10. The role of sea ice in subseasonal predictability
11. Sub-seasonal Predictability and the Stratosphere

Part III: S2S Modeling and Forecasting
12. Forecast system design, configuration, complexity
13. Ensemble generation: the TIGGE and S2S ensembles
14. GCMs with Full Representation of Cloud Microphysics and Their MJO Simulation
15. Forecast recalibration and multi-model combination
16. Forecast verification for S2S time scales

Part IV: S2S Applications
17. Sub-seasonal to Seasonal Prediction of Weather Extremes
18. Pilot experiences in using seamless forecasts for early action: Ready-Set-Go approach in the Red Cross
19. Communication and dissemination of forecasts and engaging user communities
20. Seamless prediction of monsoon onset and active/break phases
21. Lessons learned in 25 years informing sectoral decisions with probabilistic climate forecasts
22. Predicting climate impacts on health at sub-seasonal to seasonal timescales 

Produkt-Details

• Erscheinungsdatum: 01.11.2018
• Sprache: englisch
• Maße: 191 x 235 mm
• Gewicht: 1180 g
• Themenwelt: Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Angewandte Physik
• ISBN-13: 9780128117149 / 9780128117149
• Zustand: Neuware