Journal of Tropical Oceanography ›› 2019, Vol. 38 ›› Issue (2): 32-42.doi: 10.11978/2018061CSTR: 32234.14.2018061

• Marine Meteorology • Previous Articles     Next Articles

Distinguishing two types of El Niño in the Tropical Pacific using key region sea surface salinity index

Zhujun FANG1(), Hai ZHI1, Pengfei LIN2,3(), Xiang WEI1   

  1. 1. College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
    2. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, Beijing 100049, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
  • Received:2018-06-04 Revised:2018-07-28 Online:2019-03-20 Published:2019-04-15
  • Supported by:
    National Key Research and Development Program of China (2016YFC1401601);National Natural Science Foundation of China (41690122, 41690120);Chinese Academy of Sciences Strategic Priority Project (XDA11010105, XDA11020306, XDA11010304)

Abstract:

In this paper, the sea surface salinity anomaly (SSSA) index from the EN4 reanalysis data during 1980-2016 is used to distinguish two types of El Ni?o. We identify the salinity variation region which has a close contact with two types of El Ni?o in the tropical Pacific. We demonstrate that salinity time series in different boxes are related sea surface temperature variation, and can indicate two types of El Ni?o. Depending on the key salinity field contrast of their correlation coefficient of temporal and horizontal distribution. Evidently, the region of SSS field is mainly located in the equatorial region with symmetric distribution in the western tropical Pacific during the eastern Pacific (EP) El Ni?o. One significant region of SSS field is migrated westward, another skewing southward east of the dateline as asymmetric distribution during the central Pacific El Ni?o, which is different from the EP El Ni?o. Based on these characteristics, we find key areas of an index that represents two types of El Ni?o and distinguishes them. Finally, we use this index to reproduce recent El Ni?o events.

Key words: two type of El Ni?o;, sea surface salinity anomaly, index, Tropical Pacific

CLC Number: 

  • P732.6