Sub-seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting

Download Sub-seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting written by Andrew Robertson, Frederic Vitart in PDF format. This book is under the category Geography and bearing the isbn/isbn13 number 128117141/9780128117149. You may reffer the table below for additional details of the book.


SKU: dbb422937d7f Category: Tag:



Andrew Robertson, Frederic Vitart






550 pages









Book Description

The Gap Between Weather and Climate Forecasting: Sub-seasonal to Seasonal Prediction (PDF) is an ideal reference for practitioners and researchers across the range of disciplines involved in the modeling; science; 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 modelling 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 ebook 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.



    • Includes a broad set of topics; illustrated with graphic examples; that highlight interdisciplinary linkages


    • Contains contributed chapters from leaders and experts in sub-seasonal to seasonal science; forecasting and applications


    • Provides a one-stop-shop for academic and applied researchers; graduate students; and practitioners in an emerging and interdisciplinary field


    • Offers a synthesis of the state of S2S science through the use of concrete examples; enabling potential users of S2S forecasts to quickly grasp the potential for application in their own decision-making




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