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Retrieving Cloud Sensitivity to Aerosol Using Ship Emissions in Overcast Conditions
by
Reeuwijk, Maarten
, Ribeiro, Rodrigo Q. C. R.
, Gryspeerdt, Edward
in
Aerosol dispersion
/ Aerosol effects
/ Aerosols
/ aerosol‐cloud interactions
/ Climate change
/ Cloud droplet concentration
/ Cloud droplets
/ Clouds
/ Droplets
/ Emissions
/ Future climates
/ Modelling
/ plume
/ Radiative cooling
/ Sensitivity
/ ship tracks
/ Uncertainty
/ Updraft
2023
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Retrieving Cloud Sensitivity to Aerosol Using Ship Emissions in Overcast Conditions
by
Reeuwijk, Maarten
, Ribeiro, Rodrigo Q. C. R.
, Gryspeerdt, Edward
in
Aerosol dispersion
/ Aerosol effects
/ Aerosols
/ aerosol‐cloud interactions
/ Climate change
/ Cloud droplet concentration
/ Cloud droplets
/ Clouds
/ Droplets
/ Emissions
/ Future climates
/ Modelling
/ plume
/ Radiative cooling
/ Sensitivity
/ ship tracks
/ Uncertainty
/ Updraft
2023
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Retrieving Cloud Sensitivity to Aerosol Using Ship Emissions in Overcast Conditions
by
Reeuwijk, Maarten
, Ribeiro, Rodrigo Q. C. R.
, Gryspeerdt, Edward
in
Aerosol dispersion
/ Aerosol effects
/ Aerosols
/ aerosol‐cloud interactions
/ Climate change
/ Cloud droplet concentration
/ Cloud droplets
/ Clouds
/ Droplets
/ Emissions
/ Future climates
/ Modelling
/ plume
/ Radiative cooling
/ Sensitivity
/ ship tracks
/ Uncertainty
/ Updraft
2023
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Retrieving Cloud Sensitivity to Aerosol Using Ship Emissions in Overcast Conditions
Journal Article
Retrieving Cloud Sensitivity to Aerosol Using Ship Emissions in Overcast Conditions
2023
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Overview
The interaction between aerosols and clouds is one of the major uncertainties in past climate change, affecting the accuracy of future climate projections. Ship tracks, trails left in clouds through the addition of aerosol in the ship exhaust plume, have become a key observational tool for constraining aerosol‐cloud interactions. However, many expected tracks remain undetected, presenting a significant gap in current knowledge of aerosol forcing. Here we leverage a plume‐parcel model to simulate the impact of aerosol dispersion for 2,957 cases off California's coast on cloud droplet number concentration (CDNC) enhancements. Plume‐parcel models show a large sensitivity to updraft uncertainties, which are found to be a primary control on track formation. Using these plume‐parcel models, updraft values consistent with observed CDNC enhancements are recovered, suggesting that relying solely on cloud‐top radiative cooling may overestimate in‐cloud updrafts by around 50%, hence overstating the cloud sensitivity to aerosols. Plain Language Summary Here we investigate the interactions between aerosols and clouds and their impact on climate change. Ship tracks were used to study these interactions, and aerosol emissions from ships were modeled. It was shown that the increase in cloud droplets from ship aerosol was highly sensitive to the speed of the updraft in the clouds. A method was developed to fit the updraft to the observed cloud enhancements; the resultant updrafts were smaller than current estimates, suggesting that the clouds may be less sensitive to aerosols than previously thought. Key Points Using ship emission data, a plume‐parcel model was implemented to study aerosol availability and cloud sensitivity in ship track formation Cloud droplet number enhancements are very sensitive to uncertainties in the in‐cloud updraft The retrieved plume‐parcel‐based updrafts suggest that clouds may be less sensitive to aerosols than implied by other estimates
Publisher
John Wiley & Sons, Inc,Wiley
Subject
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