Articles | Volume 14, issue 9
Atmos. Meas. Tech., 14, 5925–5938, 2021
https://doi.org/10.5194/amt-14-5925-2021

Special issue: Aeolus data and their application (AMT/ACP/WCD inter-journal...

Atmos. Meas. Tech., 14, 5925–5938, 2021
https://doi.org/10.5194/amt-14-5925-2021

Research article 02 Sep 2021

Research article | 02 Sep 2021

Evaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie–Arome

Susanna Hagelin et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Susanna Hagelin on behalf of the Authors (23 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (28 Apr 2021) by Ad Stoffelen
RR by Anonymous Referee #2 (04 May 2021)
RR by Anonymous Referee #3 (22 May 2021)
ED: Publish subject to minor revisions (review by editor) (01 Jun 2021) by Ad Stoffelen
AR by Susanna Hagelin on behalf of the Authors (10 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (17 Jun 2021) by Ad Stoffelen
AR by Susanna Hagelin on behalf of the Authors (25 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (30 Jun 2021) by Ad Stoffelen
AR by Susanna Hagelin on behalf of the Authors (01 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Jul 2021) by Ad Stoffelen
Download
Short summary
In this paper we study the impact of using wind observations from the Aeolus satellite, which provides wind speed profiles globally, in our numerical weather prediction system using a regional model covering the Nordic countries. The wind speed profiles from Aeolus are assimilated by the model, and we see that they have an impact on both the model analysis and forecast, though given the relatively few observations available the impact is often small.