/   Home   /   Newsroom   /   Research News

How Can Eurasian Atmospheric Circulation Anomalies Persist from Winter to the Following Spring?

Apr 16, 2018     Email"> PrintText Size

Surface air temperature (SAT) anomalies have pronounced impacts on agriculture, socioeconomic development, and people’s daily lives. For example, the record-breaking hot summer over many parts of the Eurasia resulted in broad wildfires and large economic loss.

Many studies have demonstrated that atmospheric circulation anomalies play an important role in modulating the SAT variations. Hence, the persistent characteristics of the Eurasian atmospheric circulation anomalies are crucial for the seasonal prediction of the Eurasian SAT. A question is whether the Eurasian atmospheric circulation anomalies can persist from winter to the following spring.

Using observational data and atmospheric model simulation, scientists from the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences reported that the dominant mode of winter Eurasian 500-hPa geopotential height anomalies could maintain to the following spring.

The maintenance of the dominant atmospheric circulation anomaly pattern is associated with a triple sea surface temperature (SST) anomaly pattern in the North Atlantic that is sustained from winter to the subsequent spring. This triple SST anomaly pattern triggers an atmospheric wave train over the North Atlantic through Eurasia during winter through spring. Atmospheric model experiments verify the role of the triple SST anomaly in maintaining the Eurasian atmospheric circulation anomalies.

However, Prof. WU Renguang, the corresponding author of a recent study published in Journal of Climate, found that the connection between the Eurasian winter and spring atmospheric circulation anomalies was only significant after the early-1990s.

"This is because," explained WU, "before the early 1990s, the SST anomalies related to the winter dominant mode only occur in the tropical North Atlantic during winter and they disappear during the following spring. Hence, the Eurasian winter atmospheric circulation anomalies cannot maintain to the following spring before the early-1990s."


Schematic diagram for the influence of the North Atlantic tripole sea surface temperature anomaly pattern on the Eurasian atmospheric circulation anomalies. The shadings in the North Atlantic represent sea surface temperature anomalies. Contours indicate 500hPa geopotential height anomalies. Vectors denote the wave activity flux. (Image by IAP)

WU also suggested that the predictability of the spring SAT may be improved during recent decades due to the enhanced winter-spring Eurasian atmosphere circulation connection after the early 1990s.

This work was supported by the National Natural Science Foundation of China Grants and the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology.


(Editor: LI Yuan)

Related Articles

atmosphere-ocean interaction;ENSO;North Atlantic Oscillation;Pacific decadal oscillation;Pacific-North American pattern/oscillation;La Nina

Series Studies Reveal Combined Impact of PDO and La Nina on Climate over Regional Climate

May 17, 2017

Scientists from Institute of Atmospheric Physics of the Chinese Academy of Sciences investigated the combined impacts of PDO and two types of La Nina on climate anomalies in Europe. They also looked into different wave trains emanating from the North P...

atmosphere-ocean interaction; ENSO; climate variability; interannual variability; tropical variability

IAP Reveals Indo-Pacific Forcing of SCS Precipitation Variability during Spring-to-summer Transition

Mar 25, 2015

The study of Drs. HU Wenting, WU Renguang and LIU Yong from the Institute of Atmospheric Physics showed that SCS rainfall anomalies are influenced by SST anomalies in the equatorial Pacific (EP), tropical Indian Ocean (TIO), and western North Pacific (...

atmosphere-ocean interaction; climate change; climate prediction; climate variability; statistical techniques

An Attempt to Predict Non-Gaussian Climate Extremes

Jan 27, 2015

To understand and predict regional scale or even local scale climate extremes is a great challenge not only because they are rare but also because they are sometime, if not often, non-Gaussian distribution. Two approaches for statistical prediction/do...

Contact Us

Copyright © 2002 - Chinese Academy of Sciences