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Indian Ocean SST modes and Their Impacts as Simulated in BCC_CSM1.1(m) and HadGEM3.

Authors :
Lu, Bo
Ren, Hong-Li
Eade, Rosie
Andrews, Martin
Source :
Advances in Atmospheric Sciences. Aug2018, Vol. 35 Issue 8, p1035-1048. 14p.
Publication Year :
2018

Abstract

The sea surface temperature anomalies (SSTAs) in the tropical Indian Ocean (TIO) show two dominant modes at interannual time scales, referred to as the Indian Ocean basin mode (IOBM) and dipole mode (IOD). Recent studies have shown that the IOBM and IOD not only affect the local climate, but also induce remarkable influences in East Asia via teleconnections. In this study, we assess simulations of the IOBM and IOD, as well as their teleconnections, using the operational seasonal prediction models from the Met Office (HadGEM3) and Beijing Climate Center [BCC CSM1.1(m)]. It is demonstrated that the spatial patterns and seasonal cycles are generally reproduced by the control simulations of BCC CSM1.1(m) and HadGEM3, although spectra biases exist. The relationship between the TIO SSTA and El Niño is successfully simulated by both models, including the persistent IOBM warming following El Niño and the IOD-El Niño interactions. BCC CSM1.1(m) and HadGEM3 are capable of simulating the observed local impact of the IOBM, such as the strengthening of the South Asian high. The influences of the IOBM on Yangtze River rainfall are also captured well by both models, although this teleconnection is slightly weaker in BCC CSM1.1(m) due to the underestimation of the northwestern Pacific subtropical high. The local effect of the IOD on East African rainfall is reproduced by both models. However, the remote control of the IOD on rainfall over southwestern China is not clear in either model. It is shown that the realistic simulations of TIO SST modes and their teleconnections give rise to the source of skillful seasonal predictions over China. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02561530
Volume :
35
Issue :
8
Database :
Academic Search Index
Journal :
Advances in Atmospheric Sciences
Publication Type :
Academic Journal
Accession number :
130021962
Full Text :
https://doi.org/10.1007/s00376-018-7279-3