Description:

This session focuses on the dynamic processes influencing subseasonal-to-seasonal (S2S) precipitation patterns and drought conditions, exploring recent advances in S2S prediction methodologies. Contributions are invited on the impact of large-scale oceanic, land, and atmospheric phenomena including, but not limited to, the Madden-Julian Oscillation (MJO), El Niño-Southern Oscillation (ENSO), and their impacts on precipitation and drought predictions. Presentations that utilize statistical and dynamical models, as well as multi-model ensembles, to improve the reliability of S2S precipitation and drought forecasts are encouraged. 

This session also seeks to address the challenges of translating scientific advancements into actionable tools for sectors like water resource management, agriculture, and disaster preparedness. Emphasis will be placed on collaborative approaches that integrate hydrological models, S2S and climate forecasts, and end user engagement to develop resilient water management practices. Contributions that incorporate user feedback to refine forecasts and improve usability in decision-making contexts, as well as those that evaluate the effectiveness of these tools in real-world applications, are particularly encouraged. This session aims to provide a comprehensive overview of current capabilities in predicting precipitation and drought conditions on S2S timescales and their implications for practical applications