Articles | Volume 14, issue 2
Atmos. Meas. Tech., 14, 1099–1110, 2021
https://doi.org/10.5194/amt-14-1099-2021
Atmos. Meas. Tech., 14, 1099–1110, 2021
https://doi.org/10.5194/amt-14-1099-2021

Research article 10 Feb 2021

Research article | 10 Feb 2021

Assimilation of lidar planetary boundary layer height observations

Andrew Tangborn et al.

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Interactive discussion

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 Andrew Tangborn on behalf of the Authors (21 Sep 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Sep 2020) by Daniel Perez-Ramirez
RR by Rohith Muraleedharan Thundathil (01 Oct 2020)
RR by Anonymous Referee #2 (11 Oct 2020)
RR by Anonymous Referee #4 (12 Oct 2020)
ED: Reconsider after major revisions (17 Oct 2020) by Daniel Perez-Ramirez
AR by Katja Gänger on behalf of the Authors (08 Dec 2020)  Author's response
ED: Publish as is (09 Dec 2020) by Daniel Perez-Ramirez
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Short summary
Accurate prediction of the planetary boundary layer is essential to both numerical weather prediction (NWP) and pollution forecasting. This paper presents a methodology to combine these measurements with the models through a statistical data assimilation approach that calculates the correlation between the PBLH and variables like temperature and moisture in the model. The model estimates of these variables can be improved via this method, and this will enable increased forecast accuracy.