Articles | Volume 20, issue 12
https://doi.org/10.5194/acp-20-7553-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-7553-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
30 Jun 2020
Research article | Highlight paper |
| 30 Jun 2020
| 30 Jun 2020
Identifying a regional aerosol baseline in the eastern North Atlantic using collocated measurements and a mathematical algorithm to mask high-submicron-number-concentration aerosol events
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, NM, USA
Janek Uin
Environment and Climate Science Department, Brookhaven National
Laboratory, Upton, NY, USA
Stephen Springston
Environment and Climate Science Department, Brookhaven National
Laboratory, Upton, NY, USA
Jian Wang
Center for Aerosol Science and Engineering, Department of Energy,
Environmental and Chemical Engineering, Washington University in St. Louis,
St. Louis, MO, USA
Guangjie Zheng
Center for Aerosol Science and Engineering, Department of Energy,
Environmental and Chemical Engineering, Washington University in St. Louis,
St. Louis, MO, USA
Chongai Kuang
Environment and Climate Science Department, Brookhaven National
Laboratory, Upton, NY, USA
Robert Wood
Department of Atmospheric Sciences, University of Washington, Seattle, WA,
USA
Eduardo B. Azevedo
Centre of Climate, Meteorology and Global Change (CMMG), University of
Azores, Angra do Heroísmo, Portugal
Allison McComiskey
Environment and Climate Science Department, Brookhaven National
Laboratory, Upton, NY, USA
Atmospheric Measurement and Data Sciences, Pacific Northwest National
Laboratory, Richland, WA, USA
Adam Theisen
Environmental Science Division, Argonne National Laboratory, Argonne,
IL, USA
Jenni Kyrouac
Environmental Science Division, Argonne National Laboratory, Argonne,
IL, USA
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, NM, USA
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Cited
9 citations as recorded by crossref.
- Drivers of Cloud Condensation Nuclei in the Eastern North Atlantic as Observed at the ARM Site V. Ghate et al. 10.1029/2023JD038636
- Automated identification of local contamination in remote atmospheric composition time series I. Beck et al. 10.5194/amt-15-4195-2022
- Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers S. Silva et al. 10.1029/2020EA001392
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
- Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations S. Tang et al. 10.5194/gmd-16-6355-2023
- Micro-spectroscopic and freezing characterization of ice-nucleating particles collected in the marine boundary layer in the eastern North Atlantic D. Knopf et al. 10.5194/acp-22-5377-2022
- Measurement report: A comparison of ground-level ice-nucleating-particle abundance and aerosol properties during autumn at contrasting marine and terrestrial locations E. Wilbourn et al. 10.5194/acp-24-5433-2024
- Exploring Marine Cloud Brightening with a Reduced Complexity Model M. Khan et al. 10.1007/s13351-024-4064-3
- Long-range transported continental aerosol in the eastern North Atlantic: three multiday event regimes influence cloud condensation nuclei F. Gallo et al. 10.5194/acp-23-4221-2023
9 citations as recorded by crossref.
- Drivers of Cloud Condensation Nuclei in the Eastern North Atlantic as Observed at the ARM Site V. Ghate et al. 10.1029/2023JD038636
- Automated identification of local contamination in remote atmospheric composition time series I. Beck et al. 10.5194/amt-15-4195-2022
- Exploring the Constraints on Simulated Aerosol Sources and Transport Across the North Atlantic With Island‐Based Sun Photometers S. Silva et al. 10.1029/2020EA001392
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
- Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations S. Tang et al. 10.5194/gmd-16-6355-2023
- Micro-spectroscopic and freezing characterization of ice-nucleating particles collected in the marine boundary layer in the eastern North Atlantic D. Knopf et al. 10.5194/acp-22-5377-2022
- Measurement report: A comparison of ground-level ice-nucleating-particle abundance and aerosol properties during autumn at contrasting marine and terrestrial locations E. Wilbourn et al. 10.5194/acp-24-5433-2024
- Exploring Marine Cloud Brightening with a Reduced Complexity Model M. Khan et al. 10.1007/s13351-024-4064-3
- Long-range transported continental aerosol in the eastern North Atlantic: three multiday event regimes influence cloud condensation nuclei F. Gallo et al. 10.5194/acp-23-4221-2023
Latest update: 06 Mar 2025
Short summary
Continuous high-time-resolution ambient data can include periods when aerosol properties do not represent regional aerosol processes due to high-concentration local events. We develop a novel aerosol mask at the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) facility in the eastern North Atlantic (ENA). We use two ground sites to validate the mask, include a comparison with aircraft overflights, and provide guidance to increase data quality at ENA and other locations.
Continuous high-time-resolution ambient data can include periods when aerosol properties do not...
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