Centre ESCER (Etude et la Simulation du Climat à l’Echelle Regionale) and GEOTOP (Research Center on the Dynamics of the Earth System), Department of Earth and Atmospheric Sciences, University of Quebec at Montreal, Montreal, QC, Canada
Luciana F. Prado
Faculdade de Oceanografia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
Pedro L. Silva Dias
Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, Departamento de Ciências Atmosféricas, São Paulo, Brazil
Allegra N. LeGrande
NASA Goddard Institute for Space Studies, and Center for Climate Systems Research, Columbia University, New York, USA
Clay R. Tabor
Department of Earth Sciences, University of Connecticut, Storrs, USA
We introduce a new approach based on information theory to study climate variability using observational and model data. To showcase our methodology, we study the tropical and South Atlantic by examining broad patterns in ocean and rainfall data at decadal scales in four climate models under mid‐Holocene and pre‐industrial conditions and observations. Our findings show that large-scale patterns help explain long-term climate behavior.
We introduce a new approach based on information theory to study climate variability using...