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Simulation of boreal summer intraseasonal oscillations in the latest CMIP5 coupled GCMs
Author(s) -
Sabeerali C. T.,
Ramu Dandi A.,
Dhakate Ashish,
Salunke Kiran,
Mahapatra S.,
Rao Suryachandra A.
Publication year - 2013
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1002/jgrd.50403
Subject(s) - climatology , monsoon , general circulation model , environmental science , climate simulation , convection , oscillation (cell signaling) , climate model , atmospheric sciences , coupling (piping) , meteorology , materials science , climate change , geology , chemistry , physics , oceanography , biochemistry , metallurgy
Abstract The simulation of the boreal summer intraseasonal oscillation (BSISO) has been analyzed in the historical run of the 32 models, which participated in the Coupled Model Intercomparison Project phase5 (CMIP5), and it is shown that the current state‐of‐the‐art general circulation models (GCMs) still have difficulties to properly simulate the BSISO. Compared to CMIP3 models, more CMIP5 models simulated the northward propagation of BSISO. The majority of the models could not simulate the spatial pattern of BSISO variance over the Asian summer monsoon (ASM) region and many of them failed to capture all the three peak centers of BSISO variance over the Indian summer monsoon region. Many of the models underestimated the BSISO variance over the equatorial Indian Ocean, and it is associated with the seasonal mean dry biases over this region. A reasonable representation of the intraseasonal sea surface temperature and its coupling to the convection over the equatorial Indian Ocean and an equatorial eastward propagation of convective anomalies beyond 100 ° E assure realistic simulation of BSISO over the ASM domain. We found that the models MIROC5, IPSL‐CM5A‐LR, GFDL‐CM3, CMCC‐CM, and MPI‐ESM‐LR are able to represent reasonable BSISO characteristics and can be used to unravel the modulation of BSISO characteristics due to various projected climate changes.