Primary Convener:
Yang Zhou, Lawrence Berkeley National Laboratory

Convener:
Christine Shields, NCAR
Juan Lora, Yale University
Anna Wilson, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego

Early Career Convener:
Allison Collow, Global Modeling and Assimilation Office

Chair:
Anna Wilson, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego
Diya Kamnani, Indiana University Bloomington
Vesta Afzali Gorooh, University of California San Diego

Atmospheric rivers (ARs) comprise filaments of intense water vapor transport in the lower troposphere that are essential to the global hydrological cycle. ARs operate within a broader dynamical environment; their linkages to weather and climate extremes, and their variations in a changing climate, motivate and inform the need for improvements in AR forecasting and observations to expand understanding as well as facilitate emergency response and mitigate socio-economic impacts. Quantifying uncertainty in AR measures—originating from detection methodology, data products, and model biases—is crucial for assessing confidence in process-level and impact-orientated AR analyses and predictions.This session focuses on ARs, including their observation, development, driving mechanisms, prediction and predictability, dynamical and thermodynamic responses to climate change past and future, linkage with multi-scale climate variability, hydrological impacts, and uncertainty quantification. Abstracts that make use of data from the Atmospheric River Tracking Method Intercomparison Project, or from AR Reconnaissance projects, are particularly encouraged.

Index Terms
3364 Synoptic-scale meteorology
1817 Extreme events
4301 Atmospheric
4303 Hydrological

Neighborhoods:
3. Earth Covering