The response of US summer rainfall to quadrupled CO2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model

• Published in: Journal of advances in modeling earth systems Vol. 6; no. 3; pp. 859 - 882
• Main Authors: Kooperman, Gabriel J., Pritchard, Michael S., Somerville, Richard C. J.
• Format: Journal Article
• Language: English
• Published: Washington John Wiley & Sons, Inc 01.09.2014
• Subjects: Anomalies; Arrays; Atmosphere; Atmospheric models; Atmospheric precipitations; Boundary conditions; Carbon dioxide; Circulation; Climate; Climate change; Climate models; Clouds; community atmosphere model; Convection; Dynamics; Earth; extreme precipitation; Extreme weather; Frameworks; Global climate; Mean precipitation; Mesoscale convective systems; Precipitation; Precipitation patterns; Rain; Rainfall intensity; Rainfall statistics; Rainfall-climatic change relationships; Regional climates; Sea ice; Sea surface; Sea surface temperature; Simulation; Statistical methods; Summer rainfall; superparameterization; Surface temperature; Uncertainty; Variability; United States > US
• ISSN: 1942-2466; 1942-2466
• DOI: 10.1002/2014MS000306

Observations and regional climate modeling (RCM) studies demonstrate that global climate models (GCMs) are unreliable for predicting changes in extreme precipitation. Yet RCM climate change simulations are subject to boundary conditions provided by GCMs and do not interact with large‐scale dynamical feedbacks that may be critical to the overall regional response. Limitations of both global and regional modeling approaches contribute significant uncertainty to future rainfall projections. Progress requires a modeling framework capable of capturing the observed regional‐scale variability of rainfall intensity without sacrificing planetary scales. Here the United States summer rainfall response to quadrupled CO2 climate change is investigated using conventional (CAM) and superparameterized (SPCAM) versions of the NCAR Community Atmosphere Model. The superparameterization approach, in which cloud‐resolving model arrays are embedded in GCM grid columns, improves rainfall statistics and convective variability in global simulations. A set of 5 year time‐slice simulations, with prescribed sea surface temperature and sea ice boundary conditions harvested from preindustrial and abrupt four times CO2 coupled Community Earth System Model (CESM/CAM) simulations, are compared for CAM and SPCAM. The two models produce very different changes in mean precipitation patterns, which develop from differences in large‐scale circulation anomalies associated with the planetary‐scale response to warming. CAM shows a small decrease in overall rainfall intensity, with an increased contribution from the weaker parameterized convection and a decrease from large‐scale precipitation. SPCAM has the opposite response, a significant shift in rainfall occurrence toward higher precipitation rates including more intense propagating Central United States mesoscale convective systems in a four times CO2 climate. Key Points Large‐scale dynamics are critical to regional rainfall climate change responses Superparameterization captures expected increases in rain and storm intensity Extreme rain may be decoupled from key climate change drivers in standard GCMs