To explore this relationship, regression analysis was done using the Nino 3.4 time series, ERA5 reanalysis data, and the GPCP precipitation data set. Linear regressions of column integrated specific humidity and anomalous precipitation reveal a robust nonlinear correlation, as in observations. Estimates of precipitation based on this nonlinear relationship robustly captures the horizontal distribution of ENSO-related rainfall. A small residual between the two fields exists along the Maritime Continent and equatorial South America. Linear regression of moist static energy (MSE) reveals that changes in MSE are mostly due to changes in column water vapor along the equatorial cold tongue region of the Pacific. These results reveal that changes in water vapor dictate changes in the energy (MSE) available in ENSO-related rainfall.
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