On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect

Joint Program Reprint • Journal Article
On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect
Rothenberg, D., A. Avramov and C. Wang (2018)
Atmospheric Chemistry and Physics, 18: 7961-7983 (doi: 10.5194/acp-18-7961-2018)

Reprint 2018-12 [Download]

Abstract/Summary:

Particles matter, especially when airborne. Whether emitted from artificial sources such as power plants and internal combustion engines, or natural sources such as volcanic eruptions, airborne particulates or aerosols not only impact human health but also the global climate. The more particles emitted into the atmosphere, the more water droplets are likely to form around those particles inside clouds. Clouds with more droplets are thicker and brighter, so they reflect more solar radiation, thereby cooling the climate system in a process called the aerosol indirect effect. While much is known about the physics of how aerosols impact cloud formation, it’s hard to measure just how big a role the indirect effect plays in offsetting global warming. Today’s estimates of the magnitude of the indirect effect are highly uncertain; it may well have masked as much as 80 percent of warming during the 20th century due to carbon dioxide (CO2) emissions alone.

Lowering that uncertainty will become critical throughout this century if more and more countries significantly reduce their greenhouse gas (GHG) emissions in pursuit of the Paris Agreement’s goal of keeping the rise in global mean surface temperature since preindustrial times to well below 2 degrees Celsius. Any major cut in airborne particulates will reduce the indirect cooling effect considerably, resulting in additional warming that climate models will need to estimate as precisely as possible.

To help meet this challenge, Daniel Rothenberg, who until recently served as a research assistant at the MIT Joint Program on the Science and Policy of Global Change and a PhD student and postdoctoral fellow in the Department of Earth, Atmospheric and Planetary Sciences, has developed concepts and software aimed at reducing the uncertainty in the magnitude of the indirect effect.

Key to achieving this goal is to more precisely represent aerosol activation, the process by which aerosols form water droplets in clouds, in climate models. During this process, individual aerosol particles becomes cloud droplets, the building blocks out of which clouds are formed. Just as dew condenses on grass and leaves on a cold morning, water vapor in the atmosphere condenses onto airborne particulates. Now, in a new study in the journal Atmospheric Chemistry and Physics, Rothenberg—in collaboration with his PhD advisor, Joint Program Senior Research Scientist Chien Wang, and Alexander Avramov of Emory University (a former postdoctoral associate at the MIT Center for Global Change Science)—advances a method that represents aerosol activation with far greater accuracy and computational efficiency than existing approaches.  

Citation:

Rothenberg, D., A. Avramov and C. Wang (2018): On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect. Atmospheric Chemistry and Physics, 18: 7961-7983 (doi: 10.5194/acp-18-7961-2018) (https://www.atmos-chem-phys.net/18/7961/2018/)
  • Joint Program Reprint
  • Journal Article
On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect

Rothenberg, D., A. Avramov and C. Wang

2018-12
18: 7961-7983 (doi: 10.5194/acp-18-7961-2018)
2018

Abstract/Summary: 

Particles matter, especially when airborne. Whether emitted from artificial sources such as power plants and internal combustion engines, or natural sources such as volcanic eruptions, airborne particulates or aerosols not only impact human health but also the global climate. The more particles emitted into the atmosphere, the more water droplets are likely to form around those particles inside clouds. Clouds with more droplets are thicker and brighter, so they reflect more solar radiation, thereby cooling the climate system in a process called the aerosol indirect effect. While much is known about the physics of how aerosols impact cloud formation, it’s hard to measure just how big a role the indirect effect plays in offsetting global warming. Today’s estimates of the magnitude of the indirect effect are highly uncertain; it may well have masked as much as 80 percent of warming during the 20th century due to carbon dioxide (CO2) emissions alone.

Lowering that uncertainty will become critical throughout this century if more and more countries significantly reduce their greenhouse gas (GHG) emissions in pursuit of the Paris Agreement’s goal of keeping the rise in global mean surface temperature since preindustrial times to well below 2 degrees Celsius. Any major cut in airborne particulates will reduce the indirect cooling effect considerably, resulting in additional warming that climate models will need to estimate as precisely as possible.

To help meet this challenge, Daniel Rothenberg, who until recently served as a research assistant at the MIT Joint Program on the Science and Policy of Global Change and a PhD student and postdoctoral fellow in the Department of Earth, Atmospheric and Planetary Sciences, has developed concepts and software aimed at reducing the uncertainty in the magnitude of the indirect effect.

Key to achieving this goal is to more precisely represent aerosol activation, the process by which aerosols form water droplets in clouds, in climate models. During this process, individual aerosol particles becomes cloud droplets, the building blocks out of which clouds are formed. Just as dew condenses on grass and leaves on a cold morning, water vapor in the atmosphere condenses onto airborne particulates. Now, in a new study in the journal Atmospheric Chemistry and Physics, Rothenberg—in collaboration with his PhD advisor, Joint Program Senior Research Scientist Chien Wang, and Alexander Avramov of Emory University (a former postdoctoral associate at the MIT Center for Global Change Science)—advances a method that represents aerosol activation with far greater accuracy and computational efficiency than existing approaches.  

Posted to public: 

Tuesday, June 19, 2018 - 16:45