Atmospher Sci & Global Chg
Research Highlights

January 2015

Particle's Warming Impact Brought to Light

Measuring the impact of light-absorbing particles on Earth's snowpack, glaciers, and ice cover

Dark particles on the surface of the Greenland ice sheet creates “dirty ice” which absorbs sunlight and accelerates the melting process, especially at the edges of a melt-water stream. © Henrik Egede Lassen/Alpha Film. Photo courtesy of The Arctic Monitoring and Assessment Programme, a working group of the Arctic Council. Enlarge/expand Image.

Results: When dust, soot and other black or dark-colored particles emitted through pollution are deposited in snow and ice, they increase melting. Pacific Northwest National Laboratory led a comprehensive, state-of-the-science review of light-absorbing particles. Their findings offer a better understanding of these complex climate-changers, underscoring the particles' far-reaching influence, affecting freshwater supplies and sea-level rise, as well as atmospheric heat and cloud formation. The team summarized the range of methods used to measure these particles in snow and ice, especially in regions that are most sensitive to changes in the Earth's ability to reflect sunlight. The review also covered modeling progress and suggested ways to advance understanding the particles' impact on the global climate.

Why It Matters: True to their name, light-absorbing particles attract sunlight and become a major factor in increasing snow and ice melt. They also influence Earth's temperature, the ability of the surface to reflect sunlight, the amount of freshwater, and the rise of sea levels. Thus, these particles were identified as formidable climate-changing agents in the fourth and fifth assessment reports of the Intergovernmental Panel on Climate Change. To understand how changes in biomass- and fuel-burning —a large source of these particles —might help mitigate glacier melting, scientists must disentangle the influences of the particles' natural and human-caused sources. The goal is to quantify the effects and simulate possible future changes to better understand changing climate.

Methods: The team, led by Dr. Yun Qian at PNNL, reviewed hundreds of research articles to summarize technical methods of measuring light-absorbing particles in snow and ice. They assessed the progress in measuring them in the Arctic, Tibetan Plateau, and other mid-latitude regions. The team also analyzed the status of modeling the particles' mass concentrations, albedo reduction, radiative forcing, and climatic and hydrological impact at global and regional scales. Finally, they identified research needs for reducing uncertainties in the impact of light-absorbing particles in snow and ice on global and regional climate and the hydrological cycle.

What's Next? More systematic field measurements and coordinated modeling efforts will help advance the understanding of light-absorbing particles' effects in snow and ice and measure their impact on the global climate. The researchers suggest steps toward those outcomes:

• Increase measurements. This is the most important and urgent task for the near future.
• Incorporate LAP-in-snow processes into global models
• Collect more frequent snow impurity measurements from the mid-latitudes to polar regions
• Increase comparisons during "the same time periods" from diurnal to seasonal time scales
• And, consider the role of snow algae on glaciers and ice sheets in future studies.

Acknowledgments

Sponsor: The U.S. Department of Energy's Office of Science, Biological and Environmental Research Program, as part of the Earth System Modeling Program.

Research Team: Yun Qian, Hailong Wang, Mo Wang and Rudong Zhang, PNNL; Teppei J. Yasunari, Goddard Earth Sciences Technology and Research and NASA Goddard Space Flight Center; Sarah J. Doherty and Stephen G. Warren, University of Washington; Mark G. Flanner, University of Michigan; William K. M. Lau, University of Maryland and NASA Goddard Space Flight Center; Ming Jing, China Meteorological Administration.

Research Area: Climate & Earth Systems Science