title: Smooth information flow in temperature climate network reflects mass transport.
abstract: A directed climate network is constructed by Granger causality analysis of air temperature time series from a regular grid covering the whole Earth. Using winner-takes-all network thresholding approach, a structure of a smooth information flow is revealed, hidden to previous studies. The relevance of this observation is confirmed by comparison with the air mass transfer defined by the wind field. Their close relation illustrates that although the information transferred due to the causal influence is not a physical quantity, the information transfer is tied to the transfer of mass and energy.
authors.affiliation: Department of Nonlinear Dynamics and Complex Systems, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
authors.forename: Jaroslav
authors.initials: J
authors.lastname: Hlinka
authors.affiliation: Department of Nonlinear Dynamics and Complex Systems, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
authors.forename: Nikola
authors.identifier: 0000000301896163
authors.initials: N
authors.lastname: Jajcay
authors.affiliation: Department of Nonlinear Dynamics and Complex Systems, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
authors.forename: David
authors.initials: D
authors.lastname: Hartman
authors.affiliation: Department of Nonlinear Dynamics and Complex Systems, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
authors.forename: Milan
authors.identifier: 0000000184741436
authors.initials: M
authors.lastname: Paluš