Literature DB >> 24405425

El Niño physics and El Niño predictability.

Allan J Clarke1.   

Abstract

Much of the year-to-year climate variability on the Earth is associated with El Niño and the Southern Oscillation (ENSO). This variability is generated primarily by a coupled ocean-atmosphere instability near the eastern edge of the western equatorial Pacific warm pool. Here, I discuss the physics of this variability, including its phase locking to the seasonal cycle. ENSO growth typically occurs from April/May to November, and by July the perturbation is usually strong enough that it persists to the beginning of the following year, when ENSO events usually end. Consequently, predicting ENSO is easy from July to February but is more challenging across the April/May transition to the next event. I discuss precursors of this transition and recent results from dynamical and statistical models used for ENSO forecasting.

Mesh:

Year:  2014        PMID: 24405425     DOI: 10.1146/annurev-marine-010213-135026

Source DB:  PubMed          Journal:  Ann Rev Mar Sci        ISSN: 1941-0611


  4 in total

1.  Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations.

Authors:  Lijuan Hua; Zhenghui Lu; Naiming Yuan; Lin Chen; Yongqiang Yu; Lu Wang
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

2.  Surface Current in "Hotspot" Serves as a New and Effective Precursor for El Niño Prediction.

Authors:  Jianing Wang; Youyu Lu; Fan Wang; Rong-Hua Zhang
Journal:  Sci Rep       Date:  2017-03-13       Impact factor: 4.379

3.  Percolation Phase Transition of Surface Air Temperature Networks under Attacks of El Niño/La Niña.

Authors:  Zhenghui Lu; Naiming Yuan; Zuntao Fu
Journal:  Sci Rep       Date:  2016-05-26       Impact factor: 4.379

4.  Both air-sea components are crucial for El Niño forecast from boreal spring.

Authors:  Xiang-Hui Fang; Mu Mu
Journal:  Sci Rep       Date:  2018-07-12       Impact factor: 4.379

  4 in total

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