Skillful climate prediction on seasonal to decadal (S2D) timescales would confer enormous societal benefits. The sources of predictability, target phenomena, and forecast system design all vary considerably as forecast lead time increases. However, the many common challenges associated with developing useful predictive capacity across this range of timescales argues for increased interaction between the seasonal and decadal prediction research communities. This session welcomes submissions showcasing recent advances in S2D prediction science, including system development and end-user applications, with particular preference given to studies focused on the potential to predict high-impact hydrological and climate extremes.
Keynote Speakers: Ben Kirtman (University of Miami), Ping Chang (Texas A&M University), Sarah Kapnick (GFDL)