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Articles | Volume 14, issue 6
https://doi.org/10.5194/amt-14-4403-2021
https://doi.org/10.5194/amt-14-4403-2021
Research article
 | 
15 Jun 2021
Research article |  | 15 Jun 2021

On the estimation of boundary layer heights: a machine learning approach

Raghavendra Krishnamurthy, Rob K. Newsom, Larry K. Berg, Heng Xiao, Po-Lun Ma, and David D. Turner

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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 Raghavendra Krishnamurthy on behalf of the Authors (31 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Apr 2021) by Domenico Cimini
RR by Anonymous Referee #2 (12 Apr 2021)
RR by Anonymous Referee #1 (27 Apr 2021)
ED: Publish as is (27 Apr 2021) by Domenico Cimini
AR by Raghavendra Krishnamurthy on behalf of the Authors (29 Apr 2021)
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Short summary
Planetary boundary layer (PBL) height is a critical parameter in atmospheric models. Continuous...
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