Blue (red) shading for <-0.2, <-0.4, <-0.6, and <-0.8 (>0.2, >0.4,
>0.6, >0.8). Gray for no data.
Same shading as correlations but for 0.2C increments.
This WWW page contains several efforts to calculate G. This is work in progress. The leading principal component (PC) of global sea surface temperature (SST) anomalies is dominated by a long-term warming trend. To see the variability that exists beyond the trend, the global average SST anomaly is subtracted from the data for each time step, and the leading PC is calculated. This PC is called "G" in Zhang et al. (1997). In the following G is calculated from a variety of data sets and periods of record. G captures much the same variability as the Pacific Decadal Oscillation (PDO) and the tropical Pacific ENSO without the arbitrary domains employed in these indices. The calculations are by Roberta Quadrelli (roberta@atmos.washington.edu) and Todd Mitchell.
Reference:
Zhang, Y., J. M. Wallace, and D. S. Battisti, 1997: ENSO-like
interdecadal variability: 1900-93, 10, 1004-1020).
The following links jump to different versions of the calculation:
Blue (red) shading for <-0.2, <-0.4, <-0.6, and <-0.8 (>0.2, >0.4,
>0.6, >0.8). Gray for no data.
Same shading as correlations but for 0.2C increments.
Blue (red) shading for <-0.2, <-0.4, <-0.6, and <-0.8 (>0.2, >0.4,
>0.6, >0.8). Gray for no data.
Same shading as correlations but for 0.2C increments.
Global-mean SST anomalies (C), 1950-99
Blue (red) shading for <-0.2, <-0.4, <-0.6, and <-0.8 (>0.2, >0.4,
>0.6, >0.8). Gray for no data.
The correlation and regression maps are
linked here as maps 1 and 2, respectively, of a netCDF file.
Same shading as correlations but for 0.2C increments.