季節内から季節予測へ：気候と気象予報のギャップ Sub-seasonal to Seasonal Prediction : The Gap between Weather and Climate Forecasting

季節内から季節予測へ：気候と気象予報のギャップ<br>Sub-seasonal to Seasonal Prediction : The Gap between Weather and Climate Forecasting

個数：

電子版価格
¥19,092

電子版あり

季節内から季節予測へ：気候と気象予報のギャップ
Sub-seasonal to Seasonal Prediction : The Gap between Weather and Climate Forecasting

Robertson, Andrew (EDT)/ Vitart, Frederic (EDT)

ウェブストア価格 ¥24,329（本体¥22,118）
Elsevier Science Publishing Co Inc（2018/10発売）
外貨定価 US$ 120.00
ポイント 221pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
2. 複数冊ご注文の場合、分割発送となる場合がございます。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 585 p.
言語 ENG
商品コード 9780128117149
DDC分類 551.63

Full Description

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.

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