Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3019-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-3019-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Identification of platform exhaust on the RV Investigator
Ruhi S. Humphries
CORRESPONDING AUTHOR
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, Australia
Ian M. McRobert
Engineering and Technology Program, CSIRO Oceans and Atmosphere, Hobart, Australia
Will A. Ponsonby
Engineering and Technology Program, CSIRO Oceans and Atmosphere, Hobart, Australia
Jason P. Ward
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, Australia
Melita D. Keywood
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, Australia
Zoe M. Loh
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, Australia
Paul B. Krummel
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, Australia
James Harnwell
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, Australia
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Cited
15 citations as recorded by crossref.
- Cloud‐Nucleating Particles Over the Southern Ocean in a Changing Climate C. Twohy et al. 10.1029/2020EF001673
- Marine productivity and synoptic meteorology drive summer-time variability in Southern Ocean aerosols J. Alroe et al. 10.5194/acp-20-8047-2020
- 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
- Measurement report: Understanding the seasonal cycle of Southern Ocean aerosols R. Humphries et al. 10.5194/acp-23-3749-2023
- Characterizing Ice Nucleating Particles Over the Southern Ocean Using Simultaneous Aircraft and Ship Observations K. Moore et al. 10.1029/2023JD039543
- Atmospheric concentrations and sources of black carbon over tropical Australian waters C. Wu et al. 10.1016/j.scitotenv.2022.159143
- Measurement report: Cloud processes and the transport of biological emissions affect southern ocean particle and cloud condensation nuclei concentrations K. Sanchez et al. 10.5194/acp-21-3427-2021
- Automated identification of local contamination in remote atmospheric composition time series I. Beck et al. 10.5194/amt-15-4195-2022
- Southern Ocean latitudinal gradients of cloud condensation nuclei R. Humphries et al. 10.5194/acp-21-12757-2021
- Estimation of Sea Spray Aerosol Surface Area Over the Southern Ocean Using Scattering Measurements K. Moore et al. 10.1029/2022JD037009
- Oceanic phytoplankton are a potentially important source of benzenoids to the remote marine atmosphere M. Rocco et al. 10.1038/s43247-021-00253-0
- Multi-campaign ship and aircraft observations of marine cloud condensation nuclei and droplet concentrations K. Sanchez et al. 10.1038/s41597-023-02372-z
- Airborne bacteria confirm the pristine nature of the Southern Ocean boundary layer J. Uetake et al. 10.1073/pnas.2000134117
- Evaluation of a New Carbon Dioxide System for Autonomous Surface Vehicles C. Sabine et al. 10.1175/JTECH-D-20-0010.1
- Summer aerosol measurements over the East Antarctic seasonal ice zone J. Simmons et al. 10.5194/acp-21-9497-2021
15 citations as recorded by crossref.
- Cloud‐Nucleating Particles Over the Southern Ocean in a Changing Climate C. Twohy et al. 10.1029/2020EF001673
- Marine productivity and synoptic meteorology drive summer-time variability in Southern Ocean aerosols J. Alroe et al. 10.5194/acp-20-8047-2020
- 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
- Measurement report: Understanding the seasonal cycle of Southern Ocean aerosols R. Humphries et al. 10.5194/acp-23-3749-2023
- Characterizing Ice Nucleating Particles Over the Southern Ocean Using Simultaneous Aircraft and Ship Observations K. Moore et al. 10.1029/2023JD039543
- Atmospheric concentrations and sources of black carbon over tropical Australian waters C. Wu et al. 10.1016/j.scitotenv.2022.159143
- Measurement report: Cloud processes and the transport of biological emissions affect southern ocean particle and cloud condensation nuclei concentrations K. Sanchez et al. 10.5194/acp-21-3427-2021
- Automated identification of local contamination in remote atmospheric composition time series I. Beck et al. 10.5194/amt-15-4195-2022
- Southern Ocean latitudinal gradients of cloud condensation nuclei R. Humphries et al. 10.5194/acp-21-12757-2021
- Estimation of Sea Spray Aerosol Surface Area Over the Southern Ocean Using Scattering Measurements K. Moore et al. 10.1029/2022JD037009
- Oceanic phytoplankton are a potentially important source of benzenoids to the remote marine atmosphere M. Rocco et al. 10.1038/s43247-021-00253-0
- Multi-campaign ship and aircraft observations of marine cloud condensation nuclei and droplet concentrations K. Sanchez et al. 10.1038/s41597-023-02372-z
- Airborne bacteria confirm the pristine nature of the Southern Ocean boundary layer J. Uetake et al. 10.1073/pnas.2000134117
- Evaluation of a New Carbon Dioxide System for Autonomous Surface Vehicles C. Sabine et al. 10.1175/JTECH-D-20-0010.1
- Summer aerosol measurements over the East Antarctic seasonal ice zone J. Simmons et al. 10.5194/acp-21-9497-2021
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Short summary
Undertaking atmospheric observations from ships provides important data in regions where measurements are impossible by other means. However, making measurements so close to a diesel exhaust plume is difficult. In this paper, we describe an algorithm that utilises ongoing measurements of aerosol number concentrations, black carbon mass concentrations, and mixing ratios of carbon monoxide and carbon dioxide to accurately distinguish between exhaust and background data periods.
Undertaking atmospheric observations from ships provides important data in regions where...