Future global climate projections have been put on more solid empirical ground, thanks to new measurements of the production rates of atmospheric aerosol particles by CERN’s Cosmics Leaving OUtdoor Droplets (CLOUD) experiment.
According to the Intergovernmental Panel on Climate Change, the Earth’s mean temperature is predicted to rise by between 1.5–4.5 °C for a doubling of carbon dioxide in the atmosphere, which is expected by around 2050. One of the main reasons for this large uncertainty, which makes it difficult for society to know how best to act against climate change, is a poor understanding of aerosol particles in the atmosphere and their effects on clouds.
To date, all global climate models use relatively simple parameterisations for aerosol production that are not based on experimental data, in contrast to the highly detailed modelling of atmospheric chemistry and greenhouse gases. Although the models agree with current observations, predictions start to diverge when the models are wound forward to project the future climate.
Now, data collected by CLOUD have been used to build a model of aerosol production based solely on laboratory measurements. The new CLOUD study establishes the main processes responsible for new particle formation throughout the troposphere, which is the source of around half of all cloud seed particles. It could therefore reduce the variation in projected global temperatures as calculated by complex global-circulation models.
“This marks a big step forward in the reliability and realism of how models describe aerosols and clouds,” says CLOUD spokesperson Jasper Kirkby. “It’s addressing the largest source of uncertainty in current climate models and building it on a firm experimental foundation of the fundamental processes.”
Aerosol particles form when certain trace vapours in the atmosphere cluster together, and grow via condensation to a sufficient size that they can seed cloud droplets. Higher concentrations of aerosol particles make clouds more reflective and long-lived, thereby cooling the climate, and it is thought that the increased concentration of aerosols caused by air pollution since the start of the industrial period has offset a large part of the warming caused by greenhouse-gas emissions. Until now, however, the poor understanding of how aerosols form has hampered efforts to estimate the total forcing of climate from human activities.
Thanks to CLOUD’s unique controlled environment, scientists can now understand precisely how new particles form in the atmosphere and grow to seed cloud droplets. In the latest work, published in Science, researchers built a global model of aerosol formation using extensive laboratory-measured nucleation rates involving sulphuric acid, ammonia, ions and organic compounds. Although sulphuric acid has long been known to be important for nucleation, the results show for the first time that observed concentrations of particles throughout the atmosphere can be explained only if additional molecules – organic compounds or ammonia – participate in nucleation. The results also show that ionisation of the atmosphere by cosmic rays accounts for nearly one-third of all particles formed, although small changes in cosmic rays over the solar cycle do not affect aerosols enough to influence today’s polluted climate significantly.
Early this year, CLOUD reported in Nature the discovery that aerosol particles can form in the atmosphere purely from organic vapours produced naturally by the biosphere (CERN Courier July/August 2016 p11). In a separate modelling paper published recently in PNAS, CLOUD shows that such pure biogenic nucleation was the dominant source of particles in the pristine pre-industrial atmosphere. By raising the baseline aerosol state, this process significantly reduces the estimated aerosol radiative forcing from anthropogenic activities and, in turn, reduces modelled climate sensitivities.
“This is a huge step for atmospheric science,” says lead-author Ken Carslaw of the University of Leeds, UK. “It’s vital that we build climate models on experimental measurements and sound understanding, otherwise we cannot rely on them to predict the future. Eventually, when these processes get implemented in climate models, we will have much more confidence in aerosol effects on climate. Already, results from CLOUD suggest that estimates of high climate sensitivity may have to be revised downwards.”
E Dunne et al. 2016 Science DOI: 10.1126/science.aaf2649.
H Gordon et al. 2016 PNAS DOI:10.1073/pnas.1602360113.
J Kirkby et al. 2016 Nature 533 521