Atmospheric rivers (ARs) are long, narrow corridors of enhanced water vapor transport in the lower troposphere that drive a multitude of extreme hazards globally. Intense, prolonged, or successive AR events can produce flooding, damaging winds, storm surge, and debris flows, causing significant damage to communities and critical infrastructure. Advancing process-based understanding and predictive skill of ARs is essential for improving resilience and hazard mitigation across coastal and inland regions. This session invites interdisciplinary contributions that bridge science and applications, organized around three core areas:

• Fundamental Science and Process Understanding: AR genesis, evolution, landfall; land-surface interactions (including snowpack); links to large-scale climate modes.
• Next-Generation Observation and Prediction: Novel observations (including campaigns like AR Reconnaissance); numerical modeling, AI/ML, and hybrid physics-AI approaches for AR prediction.
• Societal Impact and Decision Support: AR hazards and cascading impacts; implications for water resource management; development of impact-based forecasting and decision-support tools.

• A - Atmospheric Sciences