Sub-Seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting 1st edition by Andrew W. Robertson, Frederic Vitart – Ebook PDF Instant Download/DeliveryISBN: 0128117141, 978-0128117149
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Product details:
ISBN-10 : 0128117141
ISBN-13 : 978-0128117149
Author : Andrew W. Robertson, Frederic Vitart
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.
Sub-Seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting 1st Table of contents:
Part I: Setting the scene
Introduction: Why S2S?
Frederic Vitart and Andrew W. Robertson
Weather forecasting: What sets the forecast horizon?
Zoltan Toth & Roberto Buizza
Weather within Climate: Sub-seasonal predictability of tropical daily rainfall characteristics
Vincent Moron, Andrew W. Robertson, Lei Wang
Identifying wave processes associated with predictability across time scales: An empirical normal mode approach
Gilbert Brunet & John Methven
Part II: Sources of S2S Predictability
The Madden-Julian Oscillation
Steve J. Woolnough
Extratropical sub-seasonal–to–seasonal oscillations and multiple regimes: The dynamical systems view
Michael Ghil, Andreas Groth, Dmitri Kondrashov, Andrew W. Robertson
Tropical-Extratropical Interactions and Teleconnections
Hai Lin, Jorgen Frederiksen, David Straus, and Cristiana Stan
Land surface processes relevant to S2S prediction
Paul A. Dirmeyer, Pierre Gentine, Michael B. Ek, Gianpaolo Balsamo
Midlatitude Meso-scale Ocean-Atmosphere Interaction and Its Relevance to S2S Prediction
R. Saravanan and P. Chang
The role of sea ice in subseasonal predictability
Matthieu Chevallier, Helge Goessling, Virginie Guémas, Thomas Jung and François Massonnet
Sub-seasonal Predictability and the Stratosphere
Amy Butler, Andrew Charlton-Perez, Daniela I.V. Domeisen, Chaim Garfinkel, Edwin P. Gerber, Peter Hitchcock, Alexey Yu. Karpechko, Amanda C. Maycock, Michael Sigmond, Isla Simpson, Seok-Woo Son
Part III: S2S Modeling and Forecasting
Forecast system design, configuration, complexity
Yuhei Takaya
Ensemble generation: the TIGGE and S2S ensembles
Roberto Buizza
GCMs with Full Representation of Cloud Microphysics and Their MJO Simulation
In-Sik Kang, Min-Seop Ahn, Hiroaki Miura, and Aneesh Subramanian
Forecast recalibration and multi-model combination
Stefan Siegert, David Stephenson
Forecast verification for S2S time scales
Caio A. S. Coelho, Barbara Brown, Laurie Wilson, Marion Mittermaier, Barbara Casati
Part IV: S2S Applications
Sub-seasonal to Seasonal Prediction of Weather Extremes
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Tags: Sub Seasonal, Seasonal Prediction, The Gap Between, Weather, Climate Forecasting, Andrew Robertson, Frederic Vitart