- A11C: Advancing Skill in Subseasonal-to-Seasonal (S2S) Prediction I Oral
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NOLA CC
Primary Convener:Generic 'disconnected' Message
Christine Bassett, FedWriters
Convener:
Mark Olsen, NASA GSFC
Jadwiga Richter, U. S. National Science Foundation National Center for Atmospheric Research
Early Career Convener:
Margaret Orr, University of Delaware
Chair:
Christine Bassett, FedWriters
Mark Olsen, NASA GSFC
Jadwiga Richter, U. S. National Science Foundation National Center for Atmospheric Research
Margaret Orr, University of Delaware
Reliable subseasonal-to-seasonal (S2S) forecasts are essential for managing economic risk and informing planning in sectors such as energy, agriculture, water resources, and transportation. Land-atmosphere interactions, along with processes like the Madden-Julian Oscillation (MJO), El Niño-Southern Oscillation (ENSO), and stratospheric variability, are central to predictability at this time scale. This session invites contributions that improve understanding and predictive skill by identifying, diagnosing, and addressing model errors across components of the Earth system. Submissions may also include process-oriented diagnostics, improved initialization and data assimilation strategies, bias corrections, statistical post-processing tools, and refinements to physical parameterizations. We particularly welcome studies that leverage observational constraints, develop process- and operation-oriented metrics, or contribute to model evaluation frameworks that support operational use. The session will also include highlights from the June 2025 Land-Atmosphere S2S Workshop, with a focus on strengthening coordination across modeling, observational, and application communities to advance forecast performance.
Index Terms
1622 Earth system modeling
1627 Coupled models of the climate system
3238 Prediction
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3. Earth Covering
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