Alan M. Rhoades, Colin M. Zarzycki, Benjamin J. Hatchett, Héctor Inda-Diaz, William Rudisill, Benjamin Bass, Eli Dennis,
Anne Heggli, Rachel McCrary, Seth McGinnis, Mohammed Ombadi, Stefan Rahimi-Esfarjani, Emily Slinskey,
Abhishekh Srivastava, Julia Szinai, Paul A. Ullrich, Michael Wehner, David Yates & Andrew D. Jones
Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: yes
DOI:https://doi.org/10.1007/s00382-024-07351-7
Abstract
The California-Nevada 1997 New Year’s flood was an atmospheric river (AR)-driven rain-on-snow (RoS) event and remains the costliest in their history. The joint occurrence of saturated soils, rainfall, and snowmelt generated inundation throughout northern California-Nevada. Although AR RoS events are projected to occur more frequently with climate change, the warming sensitivity of their flood drivers across scales remains understudied. We leverage the regionally refined mesh capabilities of the Energy Exascale Earth System Model (RRM-E3SM) to recreate the 1997 New Year’s flood with horizontal grid spacings of 3.5 km across California, with forecast lead times of up to 4 days, and across six warming levels ranging from pre-industrial conditions to +3.5∘C. We describe the sensitivity of the flood drivers to warming including AR duration and intensity, precipitation phase, intensity and efficiency, snowpack mass and energy changes, and runoff efficiency. Our findings indicate current levels of climate change negligibly influence the flood drivers. At warming levels ≥1.7∘C, AR hazard potential increases, snowpack nonlinearly decreases, antecedent soil moisture decreases (except where the snowline retreats), and runoff decreases (except in the southern Sierra Nevada where antecedent snowpack persists). Storm total precipitation increases, but at rates below warming-induced increases in saturation-specific humidity. Warming intensifies short-duration, high-intensity rainfall, particularly where snowfall-to-rainfall transitions occur. This study highlights the nonlinear tradeoffs in 21st-century RoS flood hazards with warming and provides water management and infrastructure investment adaptation considerations.
