Literature DB >> 27698122

Simple dynamical models capturing the key features of the Central Pacific El Niño.

Nan Chen1, Andrew J Majda2.   

Abstract

The Central Pacific El Niño (CP El Niño) has been frequently observed in recent decades. The phenomenon is characterized by an anomalous warm sea surface temperature (SST) confined to the central Pacific and has different teleconnections from the traditional El Niño. Here, simple models are developed and shown to capture the key mechanisms of the CP El Niño. The starting model involves coupled atmosphere-ocean processes that are deterministic, linear, and stable. Then, systematic strategies are developed for incorporating several major mechanisms of the CP El Niño into the coupled system. First, simple nonlinear zonal advection with no ad hoc parameterization of the background SST gradient is introduced that creates coupled nonlinear advective modes of the SST. Secondly, due to the recent multidecadal strengthening of the easterly trade wind, a stochastic parameterization of the wind bursts including a mean easterly trade wind anomaly is coupled to the simple atmosphere-ocean processes. Effective stochastic noise in the wind burst model facilitates the intermittent occurrence of the CP El Niño with realistic amplitude and duration. In addition to the anomalous warm SST in the central Pacific, other major features of the CP El Niño such as the rising branch of the anomalous Walker circulation being shifted to the central Pacific and the eastern Pacific cooling with a shallow thermocline are all captured by this simple coupled model. Importantly, the coupled model succeeds in simulating a series of CP El Niño that lasts for 5 y, which resembles the two CP El Niño episodes during 1990-1995 and 2002-2006.

Entities:  

Keywords:  Walker circulation; effective stochastic noise; nonlinear zonal advection; strengthening of the easterly trade wind

Year:  2016        PMID: 27698122      PMCID: PMC5081636          DOI: 10.1073/pnas.1614533113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  3 in total

1.  The skeleton of tropical intraseasonal oscillations.

Authors:  Andrew J Majda; Samuel N Stechmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-07       Impact factor: 11.205

2.  El Niño in a changing climate.

Authors:  Sang-Wook Yeh; Jong-Seong Kug; Boris Dewitte; Min-Ho Kwon; Ben P Kirtman; Fei-Fei Jin
Journal:  Nature       Date:  2009-09-24       Impact factor: 49.962

3.  Simple stochastic model for El Niño with westerly wind bursts.

Authors:  Sulian Thual; Andrew J Majda; Nan Chen; Samuel N Stechmann
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-29       Impact factor: 11.205

  3 in total
  3 in total

1.  Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification.

Authors:  Nan Chen; Andrew J Majda
Journal:  Entropy (Basel)       Date:  2018-07-04       Impact factor: 2.524

2.  Simple stochastic dynamical models capturing the statistical diversity of El Niño Southern Oscillation.

Authors:  Nan Chen; Andrew J Majda
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-30       Impact factor: 11.205

Review 3.  El Niño-Southern Oscillation complexity.

Authors:  Axel Timmermann; Soon-Il An; Jong-Seong Kug; Fei-Fei Jin; Wenju Cai; Antonietta Capotondi; Kim M Cobb; Matthieu Lengaigne; Michael J McPhaden; Malte F Stuecker; Karl Stein; Andrew T Wittenberg; Kyung-Sook Yun; Tobias Bayr; Han-Ching Chen; Yoshimitsu Chikamoto; Boris Dewitte; Dietmar Dommenget; Pamela Grothe; Eric Guilyardi; Yoo-Geun Ham; Michiya Hayashi; Sarah Ineson; Daehyun Kang; Sunyong Kim; WonMoo Kim; June-Yi Lee; Tim Li; Jing-Jia Luo; Shayne McGregor; Yann Planton; Scott Power; Harun Rashid; Hong-Li Ren; Agus Santoso; Ken Takahashi; Alexander Todd; Guomin Wang; Guojian Wang; Ruihuang Xie; Woo-Hyun Yang; Sang-Wook Yeh; Jinho Yoon; Elke Zeller; Xuebin Zhang
Journal:  Nature       Date:  2018-07-25       Impact factor: 49.962

  3 in total

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