Robustness of the long-term nonlinear evolution of global sea surface temperature trend ...

• Main Authors: Xu, Zhenhao, Huang, Gang, Ji, Fei, Liu, Bo, Chang, Fei, Li, Xichen
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: figshare 2022
• Subjects: Evolutionary Biology; FOS Biological sciences; Environmental Sciences not elsewhere classified; Inorganic Chemistry; FOS Chemical sciences; Science Policy; Plant Biology; Southern Ocean
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.6089016; https://springernature.figshare.com/collections/Robustness_of_the_long-term_nonlinear_evolution_of_global_sea_surface_temperature_trend/6089016

Abstract The multi-scale variability of global sea surface temperature (GSST), which is often dominated by secular trends, significantly impacts global and regional climate change. Previous studies were mainly carried out under linear assumptions. Even if the nonlinear evolution patterns have been discussed based on annual-mean data, the conclusions are still insufficient due to several factors. Here, based on the Ensemble Empirical Mode Decomposition (EEMD) method, the robustness of GSST trends tied to the sampling frequency and time interval selection is further explored. The main features derived from the annual-mean data are maintained. However, monthly and seasonal-mean data both mute the cooling in the equatorial central Pacific and the Southern Ocean in the Pacific sector, meanwhile intensify and expand the warming over the North Pacific. The results also highlight that early data cause a minimal effect on secular trends except for the portion near the start point of the interval due to the local ...