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Table 2.

To display the horizontal structure of the atmospheric circulation changes associated with the HC variability modes, a composite analysis method is applied to two leading modes of four reanalysis datasets, respectively. We choose six positive phase years for EOF-1 mode (NCEP1, NCEP2, and JRA-25) and EOF-2 mode (ERA-Interim), while four positive phase years are selected for EOF-2 mode (NCEP1, NCEP2, and JRA-25) and EOF-1 mode (ERA-Interim). The years selected for composite analysis are the positive phase of the corresponding PC among four reanalysis datasets (NCEP1, NCEP2, JRA-25, and ERA-Interim) and El Niño events as listed in Table 2.

To display the horizontal structure of the atmospheric circulation changes associated with the HC variability modes, a composite analysis method is applied to two leading modes of four reanalysis datasets, respectively. We choose six positive phase years for EOF-1 mode (NCEP1, NCEP2, and JRA-25) and EOF-2 mode (ERA-Interim), while four positive phase years are selected for EOF-2 mode (NCEP1, NCEP2, and JRA-25) and EOF-1 mode (ERA-Interim). The years selected for composite analysis are the positive phase of the corresponding PC among four reanalysis datasets (NCEP1, NCEP2, JRA-25, and ERA-Interim) and El Niño events as listed in Table 2.
To display the horizontal structure of the atmospheric circulation changes associated with the HC variability modes, a composite analysis method is applied to two leading modes of four reanalysis datasets, respectively. We choose six positive phase years for EOF-1 mode (NCEP1, NCEP2, and JRA-25) and EOF-2 mode (ERA-Interim), while four positive phase years are selected for EOF-2 mode (NCEP1, NCEP2, and JRA-25) and EOF-1 mode (ERA-Interim). The years selected for composite analysis are the positive phase of the corresponding PC among four reanalysis datasets (NCEP1, NCEP2, JRA-25, and ERA-Interim) and El Niño events as listed in Table 2.
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