Literature DB >> 33707462

The unique mean seasonal cycle in the Indian Ocean anchors its various air-sea coupled modes across the basin.

Xinqiang Xu1,2,3, Lei Wang4,5,6,7, Weidong Yu8,9,10,11.   

Abstract

The interannual variability of the sea surface temperature (SST) in the Indian Ocean is complex and characterized by various air-sea coupled modes, which occur around El Niño/La Niña's peak phase (i.e. December-January-February, DJF). Indian Ocean Dipole Mode (IODM) develops over the tropical Indian Ocean and peaks in September-October-November (SON), while Ningaloo Niño, Subtropical Indian Ocean Dipole (SIOD) and Indian Ocean Basin Mode (IOBM) occur respectively over northwest off Australia, subtropical and tropical Indian Ocean, during boreal winter to spring. The apparent contrast between their divergent regionality and convergent seasonality around DJF triggers the present study to examine the interaction between the local mean monsoonal cycle and the anomalous forcing from El Niño/La Niña. The diagnosis confirms that the Indian Ocean's unique complexity, including the monsoonal circulation over the tropics and the trade wind over the subtropical southern Indian Ocean, plays the fundamental role in anchoring the various regional air-sea coupled modes across the basin. The SST anomalies can be readily explained by the wind-evaporation-SST (WES) mechanism, which works together with other more regional-dependent dynamic and thermodynamic mechanisms. This implies that El Niño/La Niña brings much predictability for the Indian Ocean variations.

Entities:  

Year:  2021        PMID: 33707462      PMCID: PMC7970992          DOI: 10.1038/s41598-021-84936-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  7 in total

1.  A dipole mode in the tropical Indian Ocean.

Authors:  N H Saji; B N Goswami; P N Vinayachandran; T Yamagata
Journal:  Nature       Date:  1999-09-23       Impact factor: 49.962

2.  Coupled ocean-atmosphere dynamics in the Indian Ocean during 1997-98.

Authors:  P J Webster; A M Moore; J P Loschnigg; R R Leben
Journal:  Nature       Date:  1999-09-23       Impact factor: 49.962

3.  California Niño/Niña.

Authors:  Chaoxia Yuan; Toshio Yamagata
Journal:  Sci Rep       Date:  2014-04-25       Impact factor: 4.379

4.  A New Picture of the Global Impacts of El Nino-Southern Oscillation.

Authors:  Jialin Lin; Taotao Qian
Journal:  Sci Rep       Date:  2019-11-26       Impact factor: 4.379

5.  La Niña forces unprecedented Leeuwin Current warming in 2011.

Authors:  Ming Feng; Michael J McPhaden; Shang-Ping Xie; Jan Hafner
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

6.  Predictability of the Ningaloo Niño/Niña.

Authors:  Takeshi Doi; Swadhin K Behera; Toshio Yamagata
Journal:  Sci Rep       Date:  2013-10-08       Impact factor: 4.379

7.  A Regional Climate Mode Discovered in the North Atlantic: Dakar Niño/Niña.

Authors:  Pascal Oettli; Yushi Morioka; Toshio Yamagata
Journal:  Sci Rep       Date:  2016-01-07       Impact factor: 4.379

  7 in total

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