The Impact Of Global Unknown Teleconnection Patterns On Terrestrial Precipitation Across North And Central America

Keywords

Central America; Climate change; North America; Precipitation; Sea surface temperature; Teleconnection

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.

Publication Date

9-1-2017

Publication Title

Atmospheric Research

Volume

193

Number of Pages

107-124

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.atmosres.2017.04.018

Socpus ID

85017441692 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85017441692

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