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Climate Dynamics

, Volume 52, Issue 9–10, pp 6195–6212 | Cite as

Effect of excessive equatorial Pacific cold tongue bias on the El Niño-Northwest Pacific summer monsoon relationship in CMIP5 multi-model ensemble

  • Gen LiEmail author
  • Yuntao Jian
  • Song Yang
  • Yan Du
  • Ziqian Wang
  • Zhenning Li
  • Wei Zhuang
  • Wenping Jiang
  • Gang Huang
Article

Abstract

El Niño induces an anomalous lower-tropospheric anticyclone over the tropical Northwest Pacific (NWP), accompanied by suppressed local convection and rainfall. The tropical NWP anomalies persist until the following summer, with major effects on the Asian summer monsoons. Based on the phase 5 of the Coupled Model Intercomparison Project (CMIP5) multi-model ensemble, this study finds that climate models commonly underestimate this El Niño-NWP teleconnection with too weak tropical NWP anticyclone and rainfall anomalies in post-El Niño summers, potentially limiting the models’ skill in seasonal prediction of the Asian summer monsoons. The analyses show that such underestimated NWP anomalies in post-El Niño summers in CMIP5 models can be traced back to the well-known excessive equatorial Pacific cold tongue error in the mean. Models with an excessive westward extension of Pacific cold tongue tend to displace westward the simulated pattern of El Niño-related warm SST anomalies along the equator. The warm SST biases over the western Pacific in CMIP5 models would enhance the local atmospheric convection/rainfall and induce low-level cyclonic circulation anomalies over the tropical NWP with a Gill-type Rossby wave response, resulting in the commonly underestimated NWP anticyclone and rainfall anomalies during post-El Niño summers. The present results, along with our previous finding that the equatorial cold tongue bias would distort the projections of tropical Pacific warming pattern under increased greenhouse gas scenario, imply that reducing equatorial cold tongue bias in models can substantially improve climate simulation and prediction/projection for the tropical Pacific and Asian monsoons.

Keywords

Equatorial Pacific cold tongue Model error El Niño Tropical Northwest Pacific anticyclone Asian summer monsoons Matsuno-Gill dynamics 

Notes

Acknowledgements

This work was supported by the Fundamental Research Funds for the Central Universities (2018B03114), the Natural Science Foundation of China (41831175, 41690123, 41690120, and 41406026), the Research Fund Program of Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (2017CCND003), the Guangdong Natural Science Funds for Distinguished Young Scholar (2015A030306008), the Youth Innovation Promotion Association CAS, and the Pearl River S&T Nova Program of Guangzhou (201506010094). We wish to thank the climate modeling groups (Table 1) for producing and making available their model outputs, the WCRP’s Working Group on Coupled Modeling (WGCM) for organizing the CMIP5 analysis activity, the Program for Climate Model Diagnostics and Intercomparison (PCMDI) for collecting and archiving the CMIP5 multi-model data, and the Office of Science, US Departmentof Energy for supporting these datasets in partnership with the Global Organization for Earth System Science Portals.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of OceanographyHohai UniversityNanjingChina
  2. 2.Institute of Earth Climate and Environment System, School of Atmospheric SciencesSun Yat-sen UniversityGuangzhouChina
  3. 3.Guangdong Province Key Laboratory for Climate Change and Natural Disaster StudiesSun Yat-sen UniversityGuangzhouChina
  4. 4.State Key Laboratory of Tropical Oceanography, South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhouChina
  5. 5.State Key Laboratory of Marine Environmental Science and College of Ocean and Earth SciencesXiamen UniversityXiamenChina
  6. 6.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina

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