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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 10
Atmos. Meas. Tech., 12, 5613–5637, 2019
https://doi.org/10.5194/amt-12-5613-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 5613–5637, 2019
https://doi.org/10.5194/amt-12-5613-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 23 Oct 2019

Research article | 23 Oct 2019

A Gaussian mixture method for specific differential phase retrieval at X-band frequency

Guang Wen 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 Anna Wenzel on behalf of the Authors (22 Jul 2019)  Author's response
ED: Referee Nomination & Report Request started (22 Jul 2019) by Gianfranco Vulpiani
RR by Anonymous Referee #3 (12 Aug 2019)
ED: Reconsider after major revisions (12 Aug 2019) by Gianfranco Vulpiani
AR by Svenja Lange on behalf of the Authors (27 Aug 2019)  Author's response
ED: Referee Nomination & Report Request started (27 Aug 2019) by Gianfranco Vulpiani
RR by Anonymous Referee #3 (21 Sep 2019)
ED: Publish subject to technical corrections (21 Sep 2019) by Gianfranco Vulpiani
AR by Guang Wen on behalf of the Authors (23 Sep 2019)  Author's response    Manuscript
Publications Copernicus
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Short summary
In this study, we propose a probabilistic method based on the Gaussian mixture model to estimate the slope of a data profile. The Gaussian mixture method (GMM) not only obtains the expected value of the slope by differentiating the conditional expectation of the data, but also yields the variance of the slope regarding the errors in the calculation of the first derivative.
In this study, we propose a probabilistic method based on the Gaussian mixture model to estimate...
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