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Title: Spatio-temporal climate data causality analytics - an analysis of ENSO's global impacts
Numerous studies have indicated that El Niño and the Southern Oscillation (ENSO) could have determinant impacts on remote weather and climate using the conventional correlation-based methods, which however cannot identify cause-and-effect of such linkage and ultimately determine a direction of causality. This study employs the Vector Auto-Regressive (VAR) model estimation method with the long-term observational data and reanalysis data to demonstrate that ENSO is the modulating factor that can result in abnormal surface temperature, pressure, precipitation and wind circulation remotely. We also carry out the sensitivity simulations using the Community Atmospheric Model (CAM) to further support the causality relations between ENSO and abnormal climate events in remote regions.  more » « less
Award ID(s):
1726023 1730250
PAR ID:
10110745
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Proceedings of the 8th International Workshop on Climate Informatics (CI2018)
Page Range / eLocation ID:
45-48
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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