Variation of sea surface temperature (SST) on seasonal-to-interannual time-scales leads to changes in seasonal weather statistics and seasonal climate anomalies. Relative entropy, an information theory measure of utility, is used to quantify the impact of SST variations on seasonal precipitation compared to natural variability. An ensemble of general circulation model (GCM) simulations is used to estimate this quantity in three regions where tropical SST has a large impact on precipitation: South Florida, the Nordeste of Brazil and Kenya. We find the yearly variation of relative entropy is strongly correlated with shifts in ensemble mean precipitation and weakly correlated with ensemble variance. Relative entropy is also found to be related to measures of the ability of the GCM to reproduce observations.
- 1620 Global Change: Climate dynamics (3309)
- 1869 Hydrology: Stochastic processes
- 3339 Meteorology and Atmospheric Dynamics: Ocean/atmosphere interactions (0312, 4504)
- 3354 Meteorology and Atmospheric Dynamics: Precipitation (1854)
- 4522 Oceanography: Physical: El Nino
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)