日本語
 
Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

登録内容を編集ファイル形式で保存
 
 
ダウンロード電子メール
 前へ次へ 
  A climate network-based index to discriminate different types of El Niño and La Niña

Wiedermann, M., Radebach, A., Donges, J. F., Kurths, J., & Donner, R. V. (2016). A climate network-based index to discriminate different types of El Niño and La Niña. Geophysical Research Letters, 43(13), 7176-7185. doi:10.1002/2016GL069119.

Item is

基本情報

表示: 非表示:
資料種別: 学術論文

ファイル

表示: ファイル
非表示: ファイル
:
7272oa.pdf (ポストプリント), 3MB
ファイル名:
7272oa.pdf
説明:
-
閲覧制限:
公開
MIMEタイプ / チェックサム:
application/pdf / [MD5]
技術的なメタデータ:
著作権日付:
-
著作権情報:
-
CCライセンス:
-

関連URL

表示:

作成者

表示:
非表示:
 作成者:
Wiedermann, Marc1, 著者              
Radebach, A.2, 著者
Donges, Jonathan Friedemann1, 著者              
Kurths, Jürgen1, 著者              
Donner, Reik V.1, 著者              
所属:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

内容説明

表示:
非表示:
キーワード: -
 要旨: El Niño exhibits distinct Eastern Pacific (EP) and Central Pacific (CP) types which are commonly, but not always consistently, distinguished from each other by different signatures in equatorial climate variability. Here we propose an index based on evolving climate networks to objectively discriminate between both flavors by utilizing a scalar‐valued measure that quantifies spatial localization and dispersion in global teleconnections of surface air temperature. Our index displays a sharp peak (high localization) during EP events, whereas during CP events (larger dispersion) it remains close to the values observed during normal periods. In contrast to previous classification schemes, our approach specifically accounts for El Niño's global impacts. We confirm recent El Niño classifications for the years 1951 to 2014 and assign types to those cases where former works yielded ambiguous results. Ultimately, we demonstrate that our index provides a similar discrimination of La Niña episodes into two distinct types.

資料詳細

表示:
非表示:
言語:
 日付: 2016
 出版の状態: Finally published
 ページ: -
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.1002/2016GL069119
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
PIKDOMAIN: Earth System Analysis - Research Domain I
eDoc: 7272
Research topic keyword: Atmosphere
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Oceans
Research topic keyword: Tipping Elements
Model / method: Nonlinear Data Analysis
Model / method: Machine Learning
Regional keyword: Global
Organisational keyword: RD4 - Complexity Science
Organisational keyword: RD1 - Earth System Analysis
Organisational keyword: FutureLab - Earth Resilience in the Anthropocene
Organisational keyword: FutureLab - Game Theory & Networks of Interacting Agents
Working Group: Whole Earth System Analysis
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
 学位: -

関連イベント

表示:

訴訟

表示:

Project information

表示:

出版物 1

表示:
非表示:
出版物名: Geophysical Research Letters
種別: 学術雑誌, SCI, Scopus, p3
 著者・編者:
所属:
出版社, 出版地: -
ページ: - 巻号: 43 (13) 通巻号: - 開始・終了ページ: 7176 - 7185 識別子(ISBN, ISSN, DOIなど): CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals182