Articles | Volume 16, issue 10
Development and technical paper
31 May 2023
Development and technical paper |  | 31 May 2023

Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2

Klaus Klingmüller and Jos Lelieveld


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-232', Anonymous Referee #1, 19 Oct 2022
  • RC2: 'Comment on gmd-2022-232', Anonymous Referee #2, 17 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Klaus Klingmüller on behalf of the Authors (06 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (25 Apr 2023) by Samuel Remy
AR by Klaus Klingmüller on behalf of the Authors (26 Apr 2023)
Short summary
Desert dust has significant impacts on climate, public health, infrastructure and ecosystems. An impact assessment requires numerical predictions, which are challenging because the dust emissions are not well known. We present a novel approach using satellite observations and machine learning to more accurately estimate the emissions and to improve the model simulations.