Articles | Volume 20, issue 16
Atmos. Chem. Phys., 20, 10063–10072, 2020
https://doi.org/10.5194/acp-20-10063-2020
Atmos. Chem. Phys., 20, 10063–10072, 2020
https://doi.org/10.5194/acp-20-10063-2020
ACP Letters
 | Highlight paper
28 Aug 2020
ACP Letters  | Highlight paper | 28 Aug 2020

The value of remote marine aerosol measurements for constraining radiative forcing uncertainty

Leighton A. Regayre et al.

Data sets

Quality-checked, one-minute resolution cruise track of the Antarctic Circumnavigation Expedition (ACE) undertaken during the austral summer of 2016/2017 J. Thomas and C. Pina Estany https://doi.org/10.5281/zenodo.3483164

Cloud Condensation Nuclei number concentrations over the Southern Ocean during the austral summer of 2016/2017 C. Tatzelt, S. Henning, F. Tummon, M. Hartmann, A. Baccarini, A. Welti, K. Lehtipalo, and J. Schmale https://doi.org/10.5281/zenodo.2636765

Course mode aerosol particle size distribution collected in the Southern Ocean in the austral summer of 2016/2017 J. Schmale, S. Henning, F. Tummon, M. Hartmann, A. Baccarini, A. Welti, K. Lehtipalo, C. Tatzelt, S. Landwehr, and M. Gysel-Beer https://doi.org/10.5281/zenodo.2636709

Sub-micron aerosol particle size distribution collected in the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition J. Schmale, S. Henning, F. Tummon, M. Hartmann, A. Baccarini, A. Welti, K. Lehtipalo, C. Tatzelt, and M. Gysel-Beer https://doi.org/10.5281/zenodo.2636700

Daily MODIS (MODerate Imaging Spectroradiometer) derived cloud droplet number concentration global dataset for 2003–2015 D. P. Grosvenor and R. Wood http://catelogue.ceda.ac.uk/uuid/cf97ccc802d348ec8a3b6f2995dfbbff

Data used to create figures in the ACP Letters manuscipt <q>The value of remote marine aerosol measurements for constraining radiative forcing uncertainty</q> by Regayre et al. (2020) L. A. Regayre https://zenodo.org/record/3988476

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Short summary
The amount of energy reflected back into space because of man-made particles is highly uncertain. Processes related to naturally occurring particles cause most of the uncertainty, but these processes are poorly constrained by present-day measurements. We show that measurements over the Southern Ocean, far from pollution sources, efficiently reduce climate model uncertainties. Our results pave the way to designing experiments and measurement campaigns that reduce this uncertainty even further.
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