Two-stage variational mode decomposition and support vector regression for streamflow forecasting

Zuo, Ganggang; Luo, Jungang; Wang, Ni; Lian, Yani; He, Xinxin

doi:https://doi.org/10.5194/hess-24-5491-2020

Articles | Volume 24, issue 11

https://doi.org/10.5194/hess-24-5491-2020

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

https://doi.org/10.5194/hess-24-5491-2020

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

Articles | Volume 24, issue 11

Research article

|

23 Nov 2020

Research article |

| 23 Nov 2020

Two-stage variational mode decomposition and support vector regression for streamflow forecasting

Ganggang Zuo, Jungang Luo, Ni Wang, Yani Lian, and Xinxin He

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Final revised paper (published on 23 Nov 2020)
Preprint (discussion started on 20 Dec 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review for hess-2019-565', John Quilty, 21 Dec 2019
- AC1: 'Replay to John Quilty', Ganggang Zuo, 29 Apr 2020
- AC2: 'Potential ideas supporting the two-stage decomposition prediction (TSDP) framework', Ganggang Zuo, 07 May 2020
AC2: 'Potential ideas supporting the two-stage decomposition prediction (TSDP) framework', Ganggang Zuo, 07 May 2020
RC2: 'Comments on HESS manuscript “ Two-stage Variational Mode Decomposition and Support Vector Regression for Streamflow Forecasting”', Anonymous Referee #2, 19 Jul 2020
- AC2: 'Potential ideas supporting the two-stage decomposition prediction (TSDP) framework', Ganggang Zuo, 07 May 2020
- AC3: 'Reply to referee#2', Ganggang Zuo, 23 Jul 2020
EC1: 'Edotor's final comment', Dimitri Solomatine, 07 Aug 2020
- AC4: 'Reply to editor', Ganggang Zuo, 18 Aug 2020

Peer-review completion

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

ED: Publish subject to revisions (further review by editor and referees) (07 Aug 2020) by Dimitri Solomatine

AR by Ganggang Zuo on behalf of the Authors (25 Aug 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (04 Sep 2020) by Dimitri Solomatine

RR by Anonymous Referee #2 (14 Sep 2020)

RR by John Quilty (14 Oct 2020)

ED: Publish subject to technical corrections (14 Oct 2020) by Dimitri Solomatine

AR by Ganggang Zuo on behalf of the Authors (16 Oct 2020) Manuscript

Short summary

A two-stage variational mode decomposition and support vector regression is designed to reduce the influence of boundary effects without removing or correcting boundary-affected decompositions. The proposed model significantly reduces the boundary effect consequences, saves modeling time and computation resources, barely overfits the calibration samples, and forecasts monthly runoff reasonably well compared to the benchmark models.