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Under some simple conditions, the convergence of a generalized chaotic system about its all variables is derived by only considering the convergence of its partial variables.
Under some simple conditions, the global synchronization of a network about its all variables is derived by only considering the global synchronization of its partial variables.
The base month for all variables is January 2000.
The average percentage reduction in bias for all variables is 88.3%%.
A package of NetCDF files containing all variables is available on request from the authors.
A program that has for each input assignment exactly one consistent assignment of all variables is called logically correct.
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All variables are discrete in this analysis.
Internal cleanup to ensure all variables are properly initialized.
Upon reset, all variables are initialized to zero.
All variables are spatially re-projected into grid boxes (2.5° by 2.5°).
All variables were analyzed using GraphPad PRISM software (GraphPad PRISM software Inc., Version 6.07, CA, USA).
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