- SST is based on a linear regression between model surface air temperature and observed bay temperature. The regression is:
sst(C)=0.82976*tas+0.30168*(tas 2 months prior)+1.63802
Adjusted R-squared: 0.9649
p-value: < 2.2e-16
- This regression is not general, and is specific to the model air temperature with its inherent errors and biasses.
- Although the sst is similar to air temperature, the magnitudes are slightly larger, and the summer and fall conditions more similar.
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