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Sub-seasonal to Seasonal Prediction:The Gap Between Weather and Climate Forecasting '18

Robertson, Andrew, Vitart, Frederic  編
在庫状況 海外在庫有り  お届け予定日 20日間 
価格 特価  \22,894(税込)         
発行年月 2018年11月
出版社/提供元
Elsevier US
出版国 アメリカ合衆国
言語 英語
媒体 冊子
装丁 paper
ページ数/巻数 585 p.
ジャンル 洋書/理工学/地球科学/大気科学
ISBN 9780128117149
商品コード 1027225796
本の性格 学術書
新刊案内掲載月 2018年10月
商品URLhttps://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1027225796

内容

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.
Contains contributed chapters from leaders and experts in sub-seasonal to seasonal science, forecasting and applications Provides a one-stop shop for graduate students, academic and applied researchers, and practitioners in an emerging and interdisciplinary fieldOffers 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-makingIncludes a broad set of topics, illustrated with graphic examples, that highlight interdisciplinary linkages

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