The Impact of Atmospheric Aerosol Perturbations on Aerosol-Cloud Interactions and Climate Forcing during the COVID-19 Outbreak

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Aerosols".

Deadline for manuscript submissions: closed (15 July 2021) | Viewed by 4103

Special Issue Editors


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Guest Editor
1. Los Alamos National Laboratory, Earth Systems Observations (EES-14) - FIDO Team, Los Alamos, NM 87545, USA
2. NASA Langley Research Center, 1 Nasa Dr, Hampton, VA 23666, USA
Interests: in situ measurements of aerosols in remote marine environments and their complex data analysis; characterization of ocean ecosystem drivers and anthropogenic perturbations on aerosol and clouds properties in north atlantic; development of mathematical algorithms to improve process-level understanding of aerosol-cloud interactions
Pacific Northwest National Laboratory, Atmospheric Rsch & Measurments, Richland, WA 99352, USA
Interests: atmospheric science; aerosol science and technology; cloud properties and climate change

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Guest Editor
Earth Systems Analysis & Modeling, Pacific Northwest National Laboratory, Richland, WA 99352, USA
Interests: measurements and modeling of secondary organic aerosols (SOA); physical and chemical evolution of SOA in the atmosphere; SOA impacts on direct and indirect radiative forcing; health effects of organic particles
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Special Issue Information

Dear Colleagues,

Aerosol particles are known to interact with clouds by acting as cloud condensation nuclei and affecting cloud radiative properties, with significant implications for global climate change. Currently, the complex interaction among clouds, aerosols, and precipitation remains one of the major sources of uncertainty in climate system models, constraining accurate future climate change predictions. This large uncertainty derives from the incomplete understanding of the aerosol state in natural conditions and the response of clouds to aerosol perturbations due to anthropogenic emissions.

Since March 2020, following the outbreak of the Severe Acute Respiratory Syndrome Coronavirus-2 (COVID-19) pandemic, several countries worldwide have adopted dramatic mitigation actions to contain the spread of the virus. These actions have led to rapid changes in worldwide economic activities such as restrictions on travel and on-site work. As a consequence, anthropogenic emissions of aerosol particles in the atmosphere had experienced unforessen perturbations. These global emission disruptions are likely to affect the climate at both regional and global scales, and represent an unprecedented opportunity to improve the understanding of the impact of perturbations in aerosol properties on climate forcing and aerosol-cloud interactions. 

The special issue focuses on all aspects of aerosol influence on the atmosphere during the COVID-19 pandemic. These include, but not limited to, experimental assessment of new sensors, monitoring network, and observation platform, the deployment to specifically support the observation during pandemic, observational and model analysis of changes in aerosol properties, and lessons learned to decision-making support systems. Contributions discussing the implications of reduced anthropogenic aerosol emissions on cloud systems are especially welcome.

Dr. Francesca Gallo
Dr. Fan Mei
Dr. Manish Shrivastava
Guest Editors

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Keywords

  • aerosol
  • aerosol-cloud interactions
  • climate forcing
  • COVID-19
  • emission reduction
  • climate response

Published Papers (1 paper)

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Research

15 pages, 3430 KiB  
Article
Toward Understanding the Variation of Air Quality Based on a Comprehensive Analysis in Hebei Province under the Influence of COVID-19 Lockdown
by Shuyi Jiang, Chuanfeng Zhao and Hao Fan
Atmosphere 2021, 12(2), 267; https://doi.org/10.3390/atmos12020267 - 17 Feb 2021
Cited by 16 | Viewed by 2781
Abstract
Associated with the outbreak of new coronavirus in 2019 (COVID-19), lockdown measures were taken in spring 2020 in China, providing an ideal experiment to investigate the effects of emission controls on air quality. Using the observation data at 56 stations in Hebei province [...] Read more.
Associated with the outbreak of new coronavirus in 2019 (COVID-19), lockdown measures were taken in spring 2020 in China, providing an ideal experiment to investigate the effects of emission controls on air quality. Using the observation data at 56 stations in Hebei province from the China National Environmental Monitoring Center from January 2019 to May 2020, along with the reanalysis meteorology data from ERA5, this study investigates the spatial and temporal variations of six air pollutants, and the clean and pollution events in COVID-19 period. Compared with the same periods in day and month in 2019 (SP19), the concentrations of sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter of less than 10 μm (PM10), particulate matter with an aerodynamic diameter of less than 2.5 μm (PM2.5), and carbon monoxide (CO) decreased by 39.2%, 38.2%, 42.1%, 39.8%, and 24.8% for lockdown period, respectively; and decreased by 13.7%, 8.9%, 16.8%, 13.4%, and 10.6% for post-lockdown period, respectively. In contrast, ozone (O3) increased by 8.0% and 5.5% for lockdown and post-lockdown periods, respectively. The diurnal variation analysis shows that the air pollutants other than O3 decrease more in the morning time (6:00–10:00 local time) than in the afternoon time (14:00–18:00 local time) during both lockdown and post-lockdown periods compared to SP19, implying the potential contribution from pollution-meteorology interaction. After lockdown period, SO2 and NO2 resumed quickly in most cities other than in Zhangjiakou, which is a city with few industries making it more sensitive to meteorology. The significant improvement of air quality during the lockdown period suggests that the whole air quality is highly dependent on the pollutant emissions, while the relatively weak reduction of pollution events imply that the pollution events are more dependent on adverse weather conditions. Full article
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