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The present study aims to understand the dynamical linkage between Indian summer monsoon rainfall (ISMR) and South Asian High (SAH) in four seasonal models (CANCM4, NEMO, CANSIP, and CFSv2) initialized with May conditions for 1982-2016. Observational analyses indicate that the northwestsoutheast (I NW−SE ) index of SAH is strongly correlated (~ 0.62) with ISMR whereas the east-west (I EW ) index is negatively correlated (~-0.57). All the models reasonably capture the relation between ISMR and the I NW−SE /I EW indices with a slightly varying correlation. The positively regressed rainfall anomalies are (90%) signi cant during I NW−SE years and attributed to the strong cold sea surface temperature anomalies over the equatorial eastern Paci c (i.e., La Niña) and positive vorticity associated with the strong cyclonic circulation over monsoon region. Similarly, signi cant negative rainfall anomalies are identi ed during I EW years, strongly associated with El Niño patterns in the eastern Paci c and negative vorticity anomalies over monsoon region. The CANCM4, NEMO, and CANSIP models show strong positive (negative) regressed rainfall anomalies over India in I NW−SE (I EW ) years, unlike the CFSv2 and observations and mainly due to strong linkage with El Niño and the Indian Ocean Dipole in the models.Overall, the high resolution CFSv2 performs better than the other models for mean rainfall and teleconnections between ISMR and SAH. Of the three models, the CANCM4 performs better in capturing dynamic circulations such as vorticity, velocity potential, stream function etc. The study highlights the seasonal model's ability to capture the linkage of ISMR and SAH indices and helps understand rainfall variability.
The present study aims to understand the dynamical linkage between Indian summer monsoon rainfall (ISMR) and South Asian High (SAH) in four seasonal models (CANCM4, NEMO, CANSIP, and CFSv2) initialized with May conditions for 1982-2016. Observational analyses indicate that the northwestsoutheast (I NW−SE ) index of SAH is strongly correlated (~ 0.62) with ISMR whereas the east-west (I EW ) index is negatively correlated (~-0.57). All the models reasonably capture the relation between ISMR and the I NW−SE /I EW indices with a slightly varying correlation. The positively regressed rainfall anomalies are (90%) signi cant during I NW−SE years and attributed to the strong cold sea surface temperature anomalies over the equatorial eastern Paci c (i.e., La Niña) and positive vorticity associated with the strong cyclonic circulation over monsoon region. Similarly, signi cant negative rainfall anomalies are identi ed during I EW years, strongly associated with El Niño patterns in the eastern Paci c and negative vorticity anomalies over monsoon region. The CANCM4, NEMO, and CANSIP models show strong positive (negative) regressed rainfall anomalies over India in I NW−SE (I EW ) years, unlike the CFSv2 and observations and mainly due to strong linkage with El Niño and the Indian Ocean Dipole in the models.Overall, the high resolution CFSv2 performs better than the other models for mean rainfall and teleconnections between ISMR and SAH. Of the three models, the CANCM4 performs better in capturing dynamic circulations such as vorticity, velocity potential, stream function etc. The study highlights the seasonal model's ability to capture the linkage of ISMR and SAH indices and helps understand rainfall variability.
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