Articles | Volume 13, issue 12
Atmos. Meas. Tech., 13, 6593–6611, 2020
https://doi.org/10.5194/amt-13-6593-2020

Special issue: Tropospheric profiling (ISTP11) (AMT/ACP inter-journal SI)

Atmos. Meas. Tech., 13, 6593–6611, 2020
https://doi.org/10.5194/amt-13-6593-2020

Research article 07 Dec 2020

Research article | 07 Dec 2020

Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study

Pauline Martinet et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Pauline Martinet on behalf of the Authors (24 Jul 2020)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (02 Sep 2020) by E. J. O'Connor
AR by Pauline Martinet on behalf of the Authors (02 Oct 2020)  Author's response    Manuscript
ED: Publish as is (05 Oct 2020) by E. J. O'Connor
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Short summary
Each year large human and economical losses are due to fog episodes. However, fog forecasts remain quite inaccurate, partly due to a lack of observations in the atmospheric boundary layer. The benefit of ground-based microwave radiometers has been investigated and has demonstrated their capability of significantly improving the initial state of temperature and liquid water content profiles in current numerical weather prediction models, paving the way for improved fog forecasts in the future.