Subseasonal to Seasonal Climate Prediction, Processes, and Applications
Subseasonal to seasonal (S2S) prediction–2 weeks to a season ahead–fills the gap between weather and seasonal-decadal climate predictions. S2S predictions provide forecasts of temperature and precipitation, as well as early warning of high-impact events such as tropical cyclones, floods, droughts, heat and cold waves, and their compound impacts on society.
This session welcomes contributions on all aspects of S2S science, including physical mechanisms (e.g., tropospheric interactions with the ocean/sea-ice, land surface, stratosphere, prognostic aerosols, MJO, ENSO, teleconnections, cross-timescale interactions), model evaluation and diagnostics, multi-model combination, predictability and prediction studies, extreme events, Model Output Statistics (calibration, verification, including Machine Learning), and climate services development (e.g., tailored forecast formats, communication, evaluation, and equality and justice). Contributions making use of the S2S/SubX, UFS and NMME databases are particularly encouraged. We also welcome abstracts on seasonal prediction on the same lines.