Abstract
According to the sea surface temperature anomaly (SSTA) intensity in the Niño-3.4 region and the east- west gradient across the Pacific, three types of El Niño are identified in this work. An event with larger than average intensity is defined as a strong El Niño, all others are considered to be weak events. Almost all strong El Niños are concurrent with a large gradient, which is featured by negative SSTAs in the western Pacific and positive SSTAs in the equatorial eastern Pacific (EP) and Indian Ocean (IO). According to the east-west gradient, the weak events can be subdivided into gradient-weak (GW) El Niño and equatorial-weak (EW) El Niño. The GW El Niño characterizes a great east-west gradient without a significant IO SSTA. In contrast, theEWevent features a positive SSTA over the tropical IO and EP. The impact ofGWEl Niño on the North Atlantic-Eurasia continent (NA-Eurasia) displays a negative North Atlantic Oscillation (NAO)-like atmospheric anomaly, resulting in a drier and cooler-than-normal winter over Eurasia. Observational and numerical evidence indicate that the prolonged subtropical jet from the North Pacific to NA acts as a waveguide that captures the planetary Rossby waves generated by the GW El Niño. This waveguide favors the propagation of the perturbations into the downstream regions, which would affect the NA-Eurasian climate. However, theEWEl Niño is accompanied by a relatively weak subtropical jet that cannot impact the NA-Eurasian climate significantly. For the strong El Niño, the absence of theNAOsignal can be attributed to the counteracting of the teleconnections triggered by the Pacific and the tropical IO.
| Original language | English |
|---|---|
| Pages (from-to) | 405-421 |
| Number of pages | 17 |
| Journal | Journal of Climate |
| Volume | 32 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jan 1 2019 |
| Externally published | Yes |
Funding
Acknowledgments. This work is jointly supported by the National Natural Science Foundation of China (NSFC) (Grant 41790475), the National Key Research and Development Program of China (Grant 2016YFA0601801), the Ministry of Science and Technology of China (Grants 2015CB953904 and 2015CB453201), and the NSFC (Grants 91637312, 41575075, 91437216, 61702275, and 41775008). Bin Wang acknowledges support from the National Research Foundation (NRF) of Korea through a Global Research Laboratory (GRL) grant of the Korean Ministry of Education, Science and Technology (MEST, 2011-0021927) and the support from the Atmosphere– Ocean Research Center at the University of Hawaii partially supported by Nanjing University of Information Science and Technology. We thank Dr. Zhiqing Xu and three reviewers for their helpful comments.
Keywords
- Atmosphere
- Atmosphere-ocean interaction
- Atmospheric circulation
- Climate variability
- Interannual variability