Abstract

Global sea surface temperature (SST) anomalies can affect terrestrial precipitation via ocean-atmosphere interactions known as climate teleconnections. Nonstationary and nonlinear characteristics of the teleconnection signals passing through the complex ocean-atmosphere-land system may provide a unique opportunity to quantify large-scale climate variability. This work explores the systematic relationships between global SST anomalies and terrestrial precipitation variability with respect to long-term nonlinear and nonstationary teleconnection signals during 1981–2010 over three regions in North America and one in Central America. The aim of this study was to investigate the surveillance capacity of teleconnections through varying atmospheric pathways toward different types of landscape and geographical environments. After finding possible associations between the dominant variation of seasonal precipitation and global SST anomalies through the integrated empirical mode decomposition, wavelet analysis, and lagged correlation analysis, the statistically significant SST regions were extracted to identify both known and unknown teleconnections. Results indicate that previously unidentified SST regions contribute a salient portion of terrestrial precipitation variability over different terrestrial regions. Central America and Pacific Northwest study sites receive highest probable impacts of climate variability driven by some unknown teleconnections that reveal unique coupling interactions between oceanic and atmospheric processes, implying possible linkages with atmospheric rivers.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.