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

Menut, Laurent

doi:https://doi.org/10.5194/gmd-16-4265-2023

Articles | Volume 16, issue 14

https://doi.org/10.5194/gmd-16-4265-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-4265-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Download

Final revised paper (published on 27 Jul 2023)
Preprint (discussion started on 16 Jan 2023)

Interactive discussion

Status: closed

RC1: 'Comment on gmd-2022-306', Anonymous Referee #1, 18 Jan 2023

Find attached the review

Citation: https://doi.org/10.5194/gmd-2022-306-RC1
CEC1:
'Comment on gmd-2022-306', Astrid Kerkweg, 08 Feb 2023
Dear authors,
in my role as Executive editor of GMD, I would like to bring to your attention our Editorial version 1.2: https://www.geosci-model-dev.net/12/2215/2019/
This highlights some requirements of papers published in GMD, which is also available on the GMD website in the ‘Manuscript Types’ section: http://www.geoscientific-model-development.net/submission/manuscript_types.html
In particular, please note that for your paper, the following requirements have not been met in the Discussions paper:
"The main paper must give the model name and version number (or other unique identifier) in the title."

“If the model development relates to a single model then the model name and the version number must be included in the title of the paper. If the main intention of an article is to make a general (i.e. model independent) statement about the usefulness of a new development, but the usefulness is shown with the help of one specific model, the model name and version number must be stated in the title. The title could have a form such as, “Title outlining amazing generic advance: a case study with Model XXX (version Y)”.''

As you are using (WRF-)CHIMERE only, the model name including the version number you used has to appear in the title.

Yours, Astrid Kerkweg
Citation: https://doi.org/10.5194/gmd-2022-306-CEC1
RC2: 'Comment on gmd-2022-306', Anonymous Referee #2, 16 May 2023

The paper presents the outcome of the forecasting tool implemented to accompagny the CADDIWA field campaign in September 2021. The forecasts were made using a simplified version of the WFR-CHIMERE model in order for the model products to be available each morning to the scientists in Cape Verde. The model outputs are compared to AERONET stations derived aerosol optical depths, when/where such measurements are available. Besides data/model comparisons, the paper develops interesting ideas on how to use the 6-days forecasts made daily in an "ensemble" mode. Metrics are provided that illustrate the insights that can be gained with the new approach. Even though, the approach is only tested on a limited number of variables and locations, the paper deserves to be published... Additional assessments on other variables than AOD would be a plus.
Nevertheless, the english is quite rough and needs to be worked on. I have attached a copy of the typescript with suggestions on how to improve the quality of the english.

Citation: https://doi.org/10.5194/gmd-2022-306-RC2
AC1: 'Comment on gmd-2022-306', Laurent Menut, 22 May 2023

The comment was uploaded in the form of a supplement: https://gmd.copernicus.org/preprints/gmd-2022-306/gmd-2022-306-AC1-supplement.pdf

Citation: https://doi.org/10.5194/gmd-2022-306-AC1

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.