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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Detecting Climate Teleconnections With Granger Causality

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Author(s):
Silva, Filipi N. [1] ; Vega-Oliveros, Didier A. [2, 3] ; Yan, Xiaoran [4] ; Flammini, Alessandro [3] ; Menczer, Filippo [1, 3] ; Radicchi, Filippo [3] ; Kravitz, Ben [5, 6] ; Fortunato, Santo [1, 3]
Total Authors: 8
Affiliation:
[1] Indiana Univ, Network Sci Inst IUNI, Bloomington, IN 47401 - USA
[2] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil
[3] Indiana Univ, Luddy Sch Informat Comp & Engn, Ctr Complex Networks & Syst Res, Bloomington, IN 47401 - USA
[4] Zhejiang Lab, Artificial Intelligence Res Inst, Hangzhou, Zhejiang - Peoples R China
[5] Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99352 - USA
[6] Indiana Univ, Dept Earth & Atmospher Sci, Bloomington, IN 47401 - USA
Total Affiliations: 6
Document type: Journal article
Source: Geophysical Research Letters; v. 48, n. 18 SEP 28 2021.
Web of Science Citations: 0
Abstract

Climate system teleconnections are crucial for improving climate predictability, but difficult to quantify. Standard approaches to identify teleconnections are often based on correlations between time series. Here we present a novel method leveraging Granger causality, which can infer/detect relationships between any two fields. We compare teleconnections identified by correlation and Granger causality at different timescales. We find that both Granger causality and correlation consistently recover known seasonal precipitation responses to the sea surface temperature pattern associated with the El Nino Southern Oscillation. Such findings are robust across multiple time resolutions. In addition, we identify candidates for unexplored teleconnection responses. (AU)

FAPESP's process: 18/24260-5 - Spatiotemporal Data Analytics based on Complex Networks
Grantee:Didier Augusto Vega Oliveros
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 19/26283-5 - Learning visual clues of the passage of time
Grantee:Didier Augusto Vega Oliveros
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 16/23698-1 - Dynamical Processes in Complex Network based on Machine Learning
Grantee:Didier Augusto Vega Oliveros
Support Opportunities: Scholarships in Brazil - Post-Doctoral