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Atmospheric Sciences & Global Change
Research Highlights

April 2015

Trading Off Climate Models' Issues

Higher resolution alone will not fix models' daytime precipitation cycle problems

conceptual climate model tradeoff
PNNL researchers identified certain tradeoffs in climate models as they investigated how models depict the timing of storm system processes. The work highlights modeling challenges when moving from coarse to high-resolution simulations. zoom Enlarge Image.

Results: Using increased computing power, climate modelers divide Earth's atmosphere into smaller areas so that global models can represent more details in the climate. But how do these large models behave with this higher resolution? Using a regional atmospheric model as a proxy for upcoming high-resolution global climate models, researchers at Pacific Northwest National Laboratory found that global models carry many biases into the higher resolution regional output despite its finer detail. The research identified certain tradeoffs that highlight modeling challenges when moving from coarse to high-resolution simulations.

"By extending the convective timescale to understand how quickly storm clouds impact the air around them, the model produced too little rain," said Dr. William I. Gustafson, Jr., lead researcher and atmospheric scientist at PNNL. "When we used a shorter timescale it improved the rain amount but caused rain to occur too early in the day."

Why It Matters: At the community level—what climate modelers describe as the regional scale—is where climate change matters most to businesses, citizenry and policy makers. This level of detail will require higher resolution models that are able to depict small-scale features—such as rain, snow, and cloud cover. Researchers also expect higher resolution will lead to overall improved accuracy of large-scale climate simulations. In anticipation of the global models using a high resolution within the next couple years, researchers in this study tested a common method's behavior when used at higher resolution. In this way, researchers are improving today's methodologies to prepare for the next generation climate models.

Methods: For their investigation, PNNL researchers used the physics packages from the Community Atmosphere Model Version 5 (CAM5) in a regional model. This enabled them to combine higher resolutions with realistic weather conditions to determine if the simulated precipitation improved using higher resolutions.

The resulting paper is one in a series to examine the resolution dependence and behavior of the CAM5 physics suite within the Weather Research and Forecasting (WRF) model. Earlier work studied the resolution dependence of the cloud microphysics and the aerosol components. For this study, they focused on precipitation behavior and the Zhang-McFarlane deep convection parameterization combined with simulating the Midlatitude Continental Convective Clouds Experiment (MC3E) field campaign period (see sidebar, MC3E Field Campaign) over the central United States. The transition period between spring and summer exhibited weather conditions with strong contrasting local and large-scale effects. By breaking the period into sub-periods, they examined how the precipitation behavior changed based on the meteorological conditions. 

What's Next? The results clarified that underlying assumptions in the handling of convection need to be changed to improve simulations and that higher resolution alone will not solve existing biases. Additional work will use a more idealized model configuration to control the inputs and more easily test alternative solutions.

Acknowledgments

Sponsors: Support was provided by a U.S. Department of Energy (DOE) Early Career grant awarded to Dr. Gustafson with additional funding from DOE's Office of Science, Office of Biological and Environmental Research through the Earth System Modeling Program; and the Aerosol Climate Initiative supported by the Laboratory Directed Research and Development program at the PNNL.

Facilities: A portion of the research was performed using PNNL Institutional Computing. Data used in this study were acquired from the Atmospheric Radiation Measurement (ARM) Climate Research Facility, a national user facility sponsored by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research; from NASA's Earth Science Division via the Goddard Earth Sciences Data and Information Services Center; and from NOAA's National Climatic Data Center.

Research Team: William Gustafson, Po-Lun Ma, and Balwinder Singh, PNNL.

Research Area: Climate & Earth Systems Science

Reference: Gustafson WI, P-L Ma, and B Singh. 2015. "Precipitation Characteristics of CAM5 Physics at Mesoscale Resolution during MC3E and the Impact of Convective Timescale Choice." Journal of Advances in Modeling Earth Systems 6(4): 1271-1287. DOI: 10.1002/2014ms000334

Related research: Digging into Climate Models' Needs with SPADE, The Secret to Downscaling


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MC3E Field Campaign

The Midlatitude Continental Convective Clouds Experiment (MC3E) was a field study on storm clouds and precipitation over the Midwest during April-May 2011. Convective (storm) clouds carry much heat and moisture through the atmosphere. The MC3E campaign used satellite, aircraft and surface-based atmospheric sensors to measure clouds and their environment. Funded by the US DOE and NASA, the MC3E took advantage of the Atmospheric Radiation Measurement (ARM) Climate Research Facility's recently installed array of precipitation and cloud radars.

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