Dynamical Seasonal Rainfall Prediction for Hawaii H. Annamalai, J. Hafner (IPRC) A. Kumar, H. Wang (NOAA Climate Prediction Center) Hawaii Rainfall Prediction (DJF) Seasonal skill (model-observations corr.) Moisture advection Temperature advection A 24-member ensemble hindcast with NOAA’s Climate Forecast System version 2 (CFSv2) was diagnosed for its ability to predict seasonal rainfall during 1981–2012 for the US Affiliated Pacific Islands. The skill for the South and West Pacific islands is better than the results shown here for Hawaii, which has lower interannual rainfall variance. Top panel: the model’s ability to hindcast winter rainfall anomalies over Hawaii shows that it is useful for leads of 0-6 months. Particularly notable is the model’s quite skillfull rainfall prediction during El Niño winters (1982–83; 1997–98; and 2010–11; see red arrows) at a 6-month lead. Second panel: the model’s skill as represented by the correlations of model projections with observations is modest for the spring and summer seasons. Bottom panels: Analysis of the moist and radiative processes in the model shows that the dry, cool climate in Hawaii during the 1997/98 El Niño was largely due to cold and dry air advection. A comparison with similar diagnostics of reanalysis products (not shown) reveals that CFSv2 represents well the physical processes contributing to the drought during that year.