Retrieving monthly and interannual total-scale pH (pH<sub>T</sub>) on the East China Sea shelf using an artificial neural network: ANN-pH<sub>T</sub>-v1

Li, Xiaoshuang; Bellerby, Richard Garth James; Ge, Jianzhong; Wallhead, Philip; Liu, Jing; Yang, Anqiang

doi:https://doi.org/10.5194/gmd-13-5103-2020

Articles | Volume 13, issue 10

https://doi.org/10.5194/gmd-13-5103-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-5103-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 10

Model description paper

|

27 Oct 2020

Model description paper |

| 27 Oct 2020

Retrieving monthly and interannual total-scale pH (pH_T) on the East China Sea shelf using an artificial neural network: ANN-pH_T-v1

Xiaoshuang Li, Richard Garth James Bellerby, Jianzhong Ge, Philip Wallhead, Jing Liu, and Anqiang Yang

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Final revised paper (published on 27 Oct 2020)
Supplement to the final revised paper
Preprint (discussion started on 28 Oct 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'A promising start, but the paper would be greatly improved by addressing several more details', Richard Mills, 05 Jun 2020
AC1: 'Our response to referee comment posted by Richard Mills in the interactive discussion', XiaoShuang Li, 17 Jun 2020
RC2: 'Comments on Retrieving monthly and interannual pHT on the East China Sea shelf using an artificial neural network: ANN-pHT-v1', Anonymous Referee #2, 14 Jul 2020
- AC2: 'Final response in the interactive discussion', XiaoShuang Li, 18 Jul 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by XiaoShuang Li on behalf of the Authors (18 Jul 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (27 Jul 2020) by David Ham

RR by Jitendra Kumar (31 Jul 2020)

RR by Richard Mills (24 Aug 2020)

ED: Publish as is (16 Sep 2020) by David Ham

AR by XiaoShuang Li on behalf of the Authors (17 Sep 2020) Author's response Manuscript

Short summary

We have developed an ANN model to predict pH using 11 cruise datasets from 2013 to 2017, demonstrated its reliability using three cruise datasets during 2018 and applied it to retrieve monthly pH for the period 2000 to 2016 on the East China Sea shelf using the ANN model in combination with input variables from the Changjiang biology Finite-Volume Coastal Ocean Model. This approach may be a valuable tool for understanding the seasonal variation of pH in poorly observed regions.

Retrieving monthly and interannual total-scale pH (pHT) on the East China Sea shelf using an artificial neural network: ANN-pHT-v1

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Interactive discussion

Peer-review completion

Retrieving monthly and interannual total-scale pH (pH_T) on the East China Sea shelf using an artificial neural network: ANN-pH_T-v1