Skip to Main Content U.S. Department of Energy
Science Directorate
Page 388 of 599

Atmospheric Sciences & Global Change
Research Highlights

February 2012

A Better Picture of Clouds

Capturing the effects of pollution bits on clouds and climate

Sun Haze
Haze that dulls the sky over Shouxian, China, is created in part by billions of tiny particles called aerosols. These bits of pollution, soot, and chemicals are affecting clouds and precipitation. Scientists are evaluating ways to predict how rising levels of aerosols affect the weather and climate for billions of people in China and around the world. Enlarge Image

Results: Some of us look at clouds and see animal shapes. Scientists are looking beyond. For the first time, a team of scientists led by Pacific Northwest National Laboratory used actual measurements of clouds and the atmosphere in the polluted skies over southeast China to evaluate an oft-used climate model. They wanted to see how well the model describes the effect of tiny particles from pollution on clouds, and how those clouds influence precipitation. They found that the fast, affordable cloud microphysical calculations under-predict the precipitation they know from observations and from detailed but expensive calculations.

Why It Matters: People care about rain. More than that, they want to know how much it will rain or snow, and when and where it will fall. Scientists know that in areas of rising air pollution such as southeast China, certain clouds will produce more rain. With just enough particles from pollution, these clouds are "pushed" past fluffy to rainy. Getting an accurate computational description of these clouds and how pollution affects them is important to predict their effects on weather and climate. But, simulating these complex cloud microphysical processes takes a lot of computing power. That's why scientists turn to simple computer representations of these processes in climate modeling. The ever-present goal of climate modeling is to maximize computational efficiency at the same time gaining more realistic results. Knowing the problems with the models, scientists can make improvements to better predict how weather and climate will be changed under the pressure of increased pollution.

Methods: It's a tough challenge to simulate the complex cloud responses to increased pollution in large-scale climate models because they use simple "bulk" parameterizations, mechanisms that represent cloud microphysical processes. Detailed "bin" microphysical representations are too computationally complex for long-time and large-scale simulations. The goal of this research was to evaluate the performance of the commonly used bulk microphysical parameterization for its ability to simulate cloud properties and aerosol-cloud interactions and to identify ways to achieve a better representation.

A research team led by Dr. Jiwen Fan used observations from the Atmospheric Radiation Measurement Mobile Facility field campaigns in China in 2008 and results from detailed bin microphysics to evaluate the Weather Research and Forecasting model's ability to describe aerosol-cloud interactions in two cloud types: deep convective clouds and stratiform clouds.

For deep convective clouds, the simple bulk microphysics failed to capture important features in the observed data. In fact, it simulated the opposite aerosol effect on convection and precipitation compared with the detailed bin microphysics, which shows that precipitation is increased by aerosols. Their analysis points to an unrealistic representation of aerosols in bulk microphysics, and the much higher cloud drop number and unrealistic drop size being simulated. Many cloud microphysical processes and precipitation properties are very sensitive to the size of the droplets, so poor simulation of droplet size can lead to significant differences in aerosol-cloud interactions between simulations using bulk versus bin microphysics. For the stratiform clouds, bulk microphysics shows qualitatively consistent results compared to bin microphysics, in terms of aerosol effects. But stratiform cloud properties were poorly simulated compared to observations.

"Based on past studies, we expected aerosols to invigorate warm-based convective clouds like the case we studied in China, and precipitation would be enhanced. But bulk microphysics predicts just the opposite," said Fan, an atmospheric scientist at PNNL. "We found that the aerosol representation within the parameterizations is the main problem."

What's Next? In a follow-on study, researchers will further modify the bulk microphysical parameterization to get results closer to observations and the benchmark simulations obtained using detailed bin microphysics. They will also include a third type of clouds, marine stratoculumlus, in their analysis.

Acknowledgments: The research was supported by the U.S. Department of Energy's Office of Science, Biological and Environmental Research under a bilateral agreement with the China Ministry of Sciences and Technology on regional climate research. The work was performed by Drs. Jiwen Fan, L. Ruby Leung and Yun Qian of PNNL, Dr. Zhanqing Li of the University of Maryland, Dr. Hugh Morrison of the National Center for Atmospheric Research, Dr. Hongbin Chen of the Chinese Academy of Sciences, Dr. Yuquan Zhou of the Chinese Academy of Meteorological Sciences, and Mr. Yuan Wang of Texas A&M University.

Reference: Fan J, LR Leung, Z Li, H Morrison, H Chen, Y Zhou, Y Qian, and Y Wang. 2012. "Aerosol Impacts on Couds and Precipitation in Eastern China: Results from Bin and Bulk Microphysics." Journal of Geophysical Research 117:D00K36. DOI:10.1029/2011JD016537.

Page 388 of 599

Science at PNNL

Core Research Areas

User Facilities

Additional Information

Research Highlights Home


Print this page (?)

YouTube Facebook Flickr TwitThis LinkedIn