Articles | Volume 16, issue 14
Model evaluation paper
27 Jul 2023
Model evaluation paper |  | 27 Jul 2023

Variability and combination as an ensemble of mineral dust forecasts during the 2021 CADDIWA experiment using the WRF 3.7.1 and CHIMERE v2020r3 models

Laurent Menut


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-306', Anonymous Referee #1, 18 Jan 2023
  • CEC1: 'Comment on gmd-2022-306', Astrid Kerkweg, 08 Feb 2023
  • RC2: 'Comment on gmd-2022-306', Anonymous Referee #2, 16 May 2023
  • AC1: 'Comment on gmd-2022-306', Laurent Menut, 22 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Laurent Menut on behalf of the Authors (22 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Jun 2023) by Samuel Remy
RR by Anonymous Referee #1 (09 Jun 2023)
RR by Anonymous Referee #2 (19 Jun 2023)
ED: Publish as is (27 Jun 2023) by Samuel Remy
AR by Laurent Menut on behalf of the Authors (29 Jun 2023)  Manuscript 
Short summary
This study analyzes forecasts that were made in 2021 to help trigger measurements during the CADDIWA experiment. The WRF and CHIMERE models were run each day, and the first goal is to quantify the variability of the forecast as a function of forecast leads and forecast location. The possibility of using the different leads as an ensemble is also tested. For some locations, the correlation scores are better with this approach. This could be tested on operational forecast chains in the future.