Trend Singular Value Decomposition Analysis and Its Application to the Global Ocean Surface Latent Heat Flux and SST Anomalies

Given the complexity of trends in the actual climate system, distinguishing between different trends and different trend modes is important for climate research. This study introduces a new method called "trend singular value decomposition (TSVD) analysis," which is designed for systematic...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of climate 2011-06, Vol.24 (12), p.2931-2948
Hauptverfasser:	Li, Gen, Ren, Baohua, Zheng, Jianqiu, Yang, Chengyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric sciences Climate Climate system Correlation coefficients Correlations Covariance Decomposition Earth, ocean, space Eigenvalues Eigenvectors El Nino Exact sciences and technology External geophysics Global warming Grants Latent heat Marine Oceans Science Statistical variance Studies Time series Trends
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!