Understanding the El Niño Southern Oscillation Effect on Cut-Off Lows as Simulated in Forced SST and Fully Coupled Experiments

• Published in: Atmosphere Vol. 13; no. 8; p. 1167
• Main Authors: Pinheiro, Henri R., Ambrizzi, Tercio, Hodges, Kevin I., Gan, Manoel A.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-08-2022
• Subjects: AMIP6; Anomalies; Circulation patterns; Climate; Climate models; CMIP6; cut-off low; Cut-off lows; El Nino; El Nino phenomena; El Nino-Southern Oscillation event; ENSO; Environmental aspects; Experiments; General circulation models; Jet stream; Jet streams (meteorology); Modelling; Northern Hemisphere; Ocean temperature; Rain; Sea surface; Sea surface temperature; Sea surface temperature anomalies; Simulation; Southern Hemisphere; Southern Oscillation; Surface temperature; Vorticity; Wavelet transforms; Westerlies; Zonal flow; Zonal flow (meteorology); Brazil
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos13081167

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 different large-scale circulation patterns is identified that work 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 skillful 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.