Articles | Volume 15, issue 23
Research article
 | Highlight paper
13 Dec 2022
Research article | Highlight paper |  | 13 Dec 2022

In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles

Hyungwon John Park, Jeffrey S. Reid, Livia S. Freire, Christopher Jackson, and David H. Richter


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-231', Anonymous Referee #2, 12 Sep 2022
    • AC2: 'Reply on RC1', Hyungwon Park, 11 Oct 2022
    • AC1: 'Reply on RC2', Hyungwon Park, 11 Oct 2022
  • RC2: 'Comment on amt-2022-231', Anonymous Referee #1, 01 Oct 2022
    • AC1: 'Reply on RC2', Hyungwon Park, 11 Oct 2022
    • RC3: 'Reply on AC1', Anonymous Referee #2, 11 Oct 2022
      • AC3: 'Reply on RC3', Hyungwon Park, 19 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Hyungwon Park on behalf of the Authors (19 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (20 Oct 2022) by Jing Wei
RR by Anonymous Referee #2 (20 Oct 2022)
ED: Publish as is (21 Oct 2022) by Jing Wei
Executive editor
Next to tackling the fundamental problem in the representativeness of point measurements of particles and retrieving the surface flux in a turbulent atmosphere, this manuscript provides a general framework to plan sampling strategies for aerosol field campaigns and provides tools to quantify related uncertainties.
Short summary
We use numerical models to study field measurements of sea spray aerosol particles and conclude that both the atmospheric state and the methods of instrument sampling are causes for the variation in the production rate of aerosol particles: a critical metric to learn the aerosol's effect on processes like cloud physics and radiation. This work helps field observers improve their experimental design and interpretation of measurements because of turbulence in the atmosphere.