Articles | Volume 16, issue 2
https://doi.org/10.5194/os-16-469-2020
https://doi.org/10.5194/os-16-469-2020
Research article
 | 
23 Apr 2020
Research article |  | 23 Apr 2020

The Pacific–Indian Ocean associated mode in CMIP5 models

Minghao Yang, Xin Li, Weilai Shi, Chao Zhang, and Jianqi Zhang

Related subject area

Approach: Numerical Models | Depth range: Surface | Geographical range: Deep Seas: Equatorial Ocean | Phenomena: Temperature, Salinity and Density Fields
Impact of intraseasonal wind bursts on sea surface temperature variability in the far eastern tropical Atlantic Ocean during boreal spring 2005 and 2006: focus on the mid-May 2005 event
Gaëlle Herbert and Bernard Bourlès
Ocean Sci., 14, 849–869, https://doi.org/10.5194/os-14-849-2018,https://doi.org/10.5194/os-14-849-2018, 2018
Short summary
Evaluation of the eastern equatorial Pacific SST seasonal cycle in CMIP5 models
Z. Y. Song, H. L. Liu, C. Z. Wang, L. P. Zhang, and F. L. Qiao
Ocean Sci., 10, 837–843, https://doi.org/10.5194/os-10-837-2014,https://doi.org/10.5194/os-10-837-2014, 2014

Cited articles

Annamalai, H., Xie, S. P., Mccreary, J. P., and Murtugudde, R.: Impact of Indian Ocean Sea Surface Temperature on Developing El Niño, J. Climate, 18, 302–319, https://doi.org/10.1175/jcli-3268.1, 2005. 
Bjerknes, J.: A possible response of the atmospheric Hadley circulation to equatorial anomalies of ocean temperature, Tellus, 18, 820–829, https://doi.org/10.3402/tellusa.v18i4.9712, 1966. 
Bjerknes, J.: Atmospheric teleconnections from the equatodal Pacific, Mon. Weather Rev., 97, 163–172, https://doi.org/10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2, 1969. 
Cai, W., Hendon, H. H., and Meyers, G.: Indian Ocean dipolelike variability in the CSIRO Mark 3 coupled climate model, J. Climate, 18, 1449–1468, https://doi.org/10.1175/jcli3332.1, 2005. 
Download
Short summary
Based on the close link with the El Niño–Southern Oscillation and Indian Ocean dipole, the Pacific Ocean and the Indian Ocean should be regarded as a unit, named the Pacific–Indian Ocean associated mode (PIOAM), when studying and predicting climate variability in East Asia. Since the PIOAM is so important, the outputs of historical simulation from the Coupled Model Intercomparison Project (CMIP) phase 5 were used to evaluate the reproducibility of PIOAM in current climate models.