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Climate Dynamics

, Volume 51, Issue 11–12, pp 4043–4064 | Cite as

The effects of the Indo-Pacific warm pool on the stratosphere

  • Xin Zhou
  • Jianping Li
  • Fei Xie
  • Ruiqiang Ding
  • Yanjie Li
  • Sen Zhao
  • Jiankai Zhang
  • Yang Li
Article

Abstract

Sea surface temperature (SST) in the Indo-Pacific warm pool (IPWP) plays a key role in influencing East Asian climate, and even affects global-scale climate change. This study defines IPWP Niño and IPWP Niña events to represent the warm and cold phases of IPWP SST anomalies, respectively, and investigates the effects of these events on stratospheric circulation and temperature. Results from simulations forced by observed SST anomalies during IPWP Niño and Niña events show that the tropical lower stratosphere tends to cool during IPWP Niño events and warm during IPWP Niña events. The responses of the northern and southern polar vortices to IPWP Niño events are fairly symmetric, as both vortices are significantly warmed and weakened. However, the responses of the two polar vortices to IPWP Niña events are of opposite sign: the northern polar vortex is warmed and weakened, but the southern polar vortex is cooled and strengthened. These features are further confirmed by composite analysis using reanalysis data. A possible dynamical mechanism connecting IPWP SST to the stratosphere is suggested, in which IPWP Niño and Niña events excite teleconnections, one similar to the Pacific–North America pattern in the Northern Hemisphere and a Rossby wave train in the Southern Hemisphere, which project onto the climatological wave in the mid–high latitudes, intensifying the upward propagation of planetary waves into the stratosphere and, in turn, affecting the polar vortex.

Notes

Acknowledgements

This work was jointly supported by the SOA Program on Global Change and Air-Sea Interactions (GASI-IPOVAI-03) and the National Natural Science Foundation of China (41575039). Datasets were obtained from the NOAA Climate Prediction Center, SWOOSH and the Met Office Hadley Centre. We also thank NCAR for providing the WACCM4 model (https://www2.cesm.ucar.edu/models/current).

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© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.University of the Chinese Academy of SciencesBeijingChina
  3. 3.College of Global Change and Earth System Science (GCESS)Beijing Normal UniversityBeijingChina
  4. 4.Key Laboratory of Meteorological Disaster of Ministry of EducationNanjing University of Information Science and TechnologyNanjingChina
  5. 5.School of Ocean and Earth Science and TechnologyUniversity of Hawai’i at MānoaHonoluluUSA
  6. 6.College of Atmospheric SciencesLanzhou UniversityLanzhouChina
  7. 7.Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, College of Atmospheric ScienceChengdu University of Information TechnologyChengduChina

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