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

Ge, Zi-An; Chen, Lin

doi:10.1080/16742834.2020.1775475

Cited by 9 publications

(5 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, in the equatorial west-central Pacific, the sea surface temperature anomaly (SSTA) exhibits a cold bias, as well as a westward shift error in its latitudinal distribution (Brown et al, 2020). The finding of the anomalous westward shift in the distribution of the tropical-Pacific SSTA also has been found in CMIP3 model simulations (Leloup et al, 2008;Ge and Chen, 2020). On the other hand, this bias is related to model competence in simulating HC characteristics.…”

Section: Introductionsupporting

confidence: 73%

Relationships between the Hadley circulation and tropical sea surface temperature with different meridional structures simulated in CMIP6 models

Feng

et al. 2023

Front. Mar. Sci.

View full text Add to dashboard Cite

The variability of the Hadley Circulation (HC) is greatly impacted by the meridional structure of sea surface temperature (SST), which has varied effects depending on its symmetrical or asymmetrical pattern relative to the equator. By using the Coupled Comparison Program International Project Phase 6 (CMIP6) model outputs and reanalysis datasets, this study assesses the capacity of CMIP6 models to simulate the relationship between the HC and tropical SST under different meridional structures, as well as investigates the possible causes for simulation biases. It is shown that the CMIP6 models can successfully reproduce climatological HC, tropical SST, and their spatial patterns of first leading modes under different meridional structures, where the correlation coefficient between simulations and observations reaches 0.8 or above. By comparison, the CMIP6 model outputs exhibit substantial differences in simulating the HC to SST response over the different meridional structures, with obvious inter-model differences. Considering the capability in simulating the HC to tropical SST response, the CMIP6 models are divided into two types, Type I model and Type II model. Models of Type I are those whose simulation results are basically close to the reanalysis data, with the biases being less than 20%. The models of Type II are those whose simulated response ratios are much stronger than those of the reanalysis. It is found that the models of Type II overestimate the intensity of El Niño-Southern Oscillation (ENSO) events, and remarkably underestimate the HC and SST correlation in the equatorial symmetric part, resulting in the inability of the models of Type II to capture the connection of the HC and tropical SST. The results indicate that, the component of the CMIP6 models in reproducing the ENSO events has a considerable impact on the simulation of the HC and tropical SST relationship, which offers recommendations for enhancing the capability of models to simulate large-scale tropical air-sea interactions.

show abstract

Section: Introductionsupporting

confidence: 73%

Relationships between the Hadley circulation and tropical sea surface temperature with different meridional structures simulated in CMIP6 models

Feng

et al. 2023

Front. Mar. Sci.

View full text Add to dashboard Cite

show abstract

“…As shown in Fig. 9, the cold tongue biases in the tropical Pacific appear in both the HR and LR model as being suffered by most state-of-the-art CGCMs (Guilyardi et al 2009;Ge and Chen 2020). However, they are much reduced in the HR compared to LR models (Fig.…”

Section: Simulated Sst Anomalies Related To Enso In the Hr And Lr Modelsmentioning

confidence: 87%

Impacts of Model Resolution on Responses of Western North Pacific Tropical Cyclones to ENSO in the HighResMIP-PRIMAVERA Ensemble

Liu

Yuan

Luo

2022

Preprint

View full text Add to dashboard Cite

The El Niño/Southern Oscillation (ENSO) is the major driver of interannual variations in the western North Pacific (WNP) tropical cyclones (TCs). Realistic reproduction of ENSO-WNPTC teleconnection in coupled models (CGCMs) is thus crucial for improved seasonal-to-interannual prediction of WNPTC activity. Here, basing on the outputs of six pairs of high-resolution (HR) and low-resolution (LR) CGCMs participating the HighResMIP-PRIMAVERA project, we showed that both HR and LR models can reproduce well the increased/decreased TC genesis and track in the southeastern WNP but the decreased/increased in the northwestern WNP in the developing years of El Niño/La Niña, but the HR models outperform the LR by simulating higher anomalous amplitudes closer to the observed. The better performance of HR than LR models is on one hand due to the generally increased frequency and variability of TCs in the HR models. On the other hand, the teleconnection of El Niño/La Niña to the WNP shows a dipole circulation difference between the HR and LR models with an anomalous cyclone/anticyclone in the southeastern WNP and anticyclone/cyclone in the northwestern WNP, which enhances the dipole TC genesis and track anomalies in the HR compared to the LR models. The teleconnection difference stems from the location differences in the ENSO-related SST and convection anomalies in the tropical Pacific, which may be ultimately linked to the reduced cold tongue biases in the HR compared to the LR models.

show abstract

“…Hence, it is interesting to reveal how these coupled differences are initialized. As shown in Figure 7, the cold tongue Frontiers in Earth Science frontiersin.org biases in the tropical Pacific appear in both the HR and LR model as being suffered by most state-of-the-art CGCMs (Guilyardi et al, 2009;Zheng et al, 2012;Li and Xie, 2014;Ge and Chen, 2020). However, they are much reduced in the HR compared to LR models (Figure 7C).…”

Section: Simulated Sst Anomalies Related To Enso In the Hr And Lr Modelsmentioning

confidence: 98%

Impacts of model resolution on responses of western North Pacific tropical cyclones to ENSO in the HighResMIP-PRIMAVERA ensemble

2023

View full text Add to dashboard Cite

The El Niño/Southern Oscillation (ENSO) is the major driver of interannual variations of the western North Pacific (WNP) tropical cyclones (TCs). Realistic reproduction of ENSO-WNPTC teleconnection in coupled models (CGCMs) is thus crucial for improved seasonal-to-interannual prediction of WNPTC activity. Here, basing on the outputs of six pairs of high-resolution (HR) and low-resolution (LR) CGCMs participating the HighResMIP-PRIMAVERA project, we showed that the HR models outperform the LR ones in reproducing the observed increase of TC genesis in the southeastern WNP but the decrease in the northwestern WNP in the developing years of El Niño. The better performance of HR than LR models is on one hand due to the generally increased frequency and variability of TCs in the HR models. On the other hand, the teleconnection of El Niño to the WNP shows a dipole circulation difference between the HR and LR models with an anomalous cyclone in the southeastern WNP and anticyclone in the northwestern WNP, which enhances the dipole TC genesis anomalies in the HR compared to the LR models. The teleconnection difference stems from the westward shift of the ENSO-related SST and convection anomalies in the tropical Pacific in the HR compared to the LR models, which may be ultimately linked to the reduced cold tongue biases in the HR models.

show abstract

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

Cited by 9 publications

References 28 publications

Relationships between the Hadley circulation and tropical sea surface temperature with different meridional structures simulated in CMIP6 models

Relationships between the Hadley circulation and tropical sea surface temperature with different meridional structures simulated in CMIP6 models

Impacts of Model Resolution on Responses of Western North Pacific Tropical Cyclones to ENSO in the HighResMIP-PRIMAVERA Ensemble

Impacts of model resolution on responses of western North Pacific tropical cyclones to ENSO in the HighResMIP-PRIMAVERA ensemble

Contact Info

Product

Resources

About