Bispectral analysis of nonlinear interaction, predictability and stochastic modelling with application to ENSO
Non-Gaussianity and nonlinearity have been shown to be ubiquitous characteristics of El Niño Southern Oscillation (ENSO) with implication on predictability, modelling, and assessment of extremes. These topics are investigated through the analysis of third-order statistics of El Niño 3.4 index in the...
Guardado en:
Autores principales: | Carlos A. L. Pires, Abdel Hannachi |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/79aa80fd004a40f99ca779e601c66983 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Scientific methods, media coverage, public awareness and climate change
por: A. Hannachi, et al.
Publicado: (2021) -
Long range daily ocean forecasts in the Indo-Pacific oceans with ACCESS-S1
por: Xiaobing Zhou, et al.
Publicado: (2021) -
On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity
por: Morten KØltzow, et al.
Publicado: (2021) -
River Nile discharge, the Pacific Ocean and world climate – a seasonal synchronization perspective
por: Woosok Moon, et al.
Publicado: (2021) -
Comparing climate time series – Part 2: A multivariate test
por: T. DelSole, et al.
Publicado: (2021)