Understanding the El-Niño Southern Oscillation effect on cut-off lows as simulated in forced SST and fully coupled experiments

Pinheiro, H. R., Ambrizzi, T., Hodges, K. I. ORCID: https://orcid.org/0000-0003-0894-229X and Gan, M. A. (2022) Understanding the El-Niño Southern Oscillation effect on cut-off lows as simulated in forced SST and fully coupled experiments. Atmosphere, 13 (8). 1167. ISSN 2073-4433 doi: 10.3390/atmos13081167

Abstract/Summary

In this study we show that changes in the 250-hPa vorticity Cut-off Low (COL) activity may possibly be driven by sea surface temperature (SST) variations in the tropical Pacific. Using ERA5 reanalysis, the existence of negative different large-scale circulation patterns is identified that works to enhance the COL activity with a weakened jet stream, while COLs are suppressed with strengthened westerlies. The present-day simulations of AMIP-CMIP6 models reproduce realistic features of the El Niño Southern Oscillation (ENSO)–COL teleconnection, but biases exist especially in coupled models. The differences are a priori due to the inability of the models to accurately predict the time-mean zonal flow, which may be in part due to systematic biases in the predicted SST. The underestimation of warm SST anomalies over the eastern Pacific is a common problem in CMIP3 and CMIP5 models and remains a major uncertainty in CMIP6. We find that a reduced bias in the predicted SST by coupled models is most likely to produce more skilful simulations in the Southern Hemisphere, but the same evidence does not hold for the Northern Hemisphere. The study suggests the potential for seasonal prediction of COLs and the benefits that would result using accurate initialization and consistent model coupling.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/106057
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	MDPI
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