中文 |

Research Progress

Predictability of the East Asia–Pacific Teleconnection Pattern Can Improve Climate Services over East Asia

Sep 11, 2018

The East Asia–Pacific (EAP) teleconnection pattern is the dominant mode of circulation variability during boreal summer over the western North Pacific and East Asia, extending from the tropics to high latitudes.

However, much of this pattern is absent in multi-model ensemble mean forecasts, characterized by very weak circulation anomalies in the mid and high latitudes. This situation also appears in the forecast for the summer of 1998 (see the figure below), in which the Yangtze River basin experienced catastrophic floods, associated with an evident EAP pattern.

A group of scientists from the Institute of Atmospheric Physics (IAP) of Chinese Academy of Sciences and the UK Met Office Hadley Center investigated the absence of the EAP pattern in the extratropics using state-of-the-art coupled seasonal forecast systems. They found that the extratropical circulation is much less predictable, compared with the tropical component, owing to the large atmospheric internal variability.

"Not only the circulation, but also the surface temperature in eastern Russia, showed low predictability,” said Dr. LI Chaofan, the lead author of the study, “We found the extratropical EAP pattern varies closely with the anomalous surface temperatures in eastern Russia.”

This unpredictable circulation – surface temperature connection associated with the EAP pattern can also modulate the East Asian rainband, knowledge of which is beneficial for a better understanding of current seasonal forecasts and climate services over East Asia.

The study was published in Advances in Atmospheric Sciences.

 

Figure: Low-level circulation in the (a) observation and (b) model forecast output (MME mean) in 1998. The “A” and “C” represent anticyclonic and cyclonic circulation anomalies, respectively. (Image by IAP) 

Contact Us
  • 86-10-68597521 (day)

    86-10-68597289 (night)

  • 86-10-68511095 (day)

    86-10-68512458 (night)

  • cas_en@cas.cn

  • 52 Sanlihe Rd., Xicheng District,

    Beijing, China (100864)

Copyright © 2002 - Chinese Academy of Sciences