Preliminary analysis of the zonal distribution of ENSO-related SSTA in three CMIP5 coupled models

Abstract

The simulated sea surface temperature anomaly (SSTA) over the tropical Pacific during El Niño–Southern Oscillation (ENSO) is investigated in three representative coupled models: CESM1-CAM5, FGOALS-s2, and FGOALS-g2. It is found that there is a significant westward shift bias in reproducing the zonal distribution (ZD) of the ENSO-related SSTA in CESM1-CAM5 and FGOALS-s2, whereas the SSTA-ZD simulated by FGOALS-g2 is relatively realistic. Through examining the SSTA-ZD during both warm and cold phases of ENSO separately, the authors reveal that the SSTA-ZD simulation bias during the ENSO cycle mainly lies in the bias during the warm phase. It is noted that both the simulated zonal wind stress anomaly ($$\tau _x^'$$) and shortwave heat flux (SW) anomaly exhibit westward shift biases in CESM1-CAM5 and FGOALS-s2, while the counterparts in FGOALS-g2 are relatively reasonable. The westward shift biases in representing $$\tau _x^'$$ and the SW anomaly (SWA) are attributed to the westward-shifted precipitation anomaly (PrA). It is suggested that the mean SST cold bias over the cold tongue region is the key factor behind the westward-shift bias in simulating the El Niño-related PrA, which leads to the westward-shifted $$\tau _x^'$$ and SWA. Collectively, the aforementioned anomaly fields, including the dynamic part ($$\tau _x^'$$) and thermodynamic part (SWA), contribute to the westward-shift bias in simulating the El Niño-related SSTA. This study provides clues for understanding the ZD simulation biases of ENSO-related fields; however, further in-depth investigation with more model simulations, especially the incoming CMIP6 simulations, is still needed to fully understand the ENSO SSTA-ZD simulation bias in coupled models.

Keywords

• enso
• ssta zonal distribution
• coupled models
• simulation bias