Autocalibration of a one-dimensional hydrodynamic-ecological model (DYRESM 4.0-CAEDYM 3.1) using a Monte Carlo approach: simulations of hypoxic events in a polymictic lake

Luo, Liancong; Hamilton, David; Lan, Jia; McBride, Chris; Trolle, Dennis

doi:https://doi.org/10.5194/gmd-11-903-2018

Articles | Volume 11, issue 3

https://doi.org/10.5194/gmd-11-903-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-903-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 3

Development and technical paper

|

09 Mar 2018

Development and technical paper |

| 09 Mar 2018

Autocalibration of a one-dimensional hydrodynamic-ecological model (DYRESM 4.0-CAEDYM 3.1) using a Monte Carlo approach: simulations of hypoxic events in a polymictic lake

Liancong Luo, David Hamilton, Jia Lan, Chris McBride, and Dennis Trolle

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Final revised paper (published on 09 Mar 2018)
Supplement to the final revised paper
Preprint (discussion started on 18 Sep 2017)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Comments on auto-calibration', Adi Nugraha, 07 Nov 2017
- AC1: 'Response to Dr. Nugraha's comments about how the auto-calibration could save less time comparing with classical method and how many iterations are required to reach the global RMSE minimum.', Liancong Luo, 12 Nov 2017
RC1: 'Review of gmd-2017-182', Anonymous Referee #1, 10 Nov 2017
- AC2: 'reply to the comments from reviewer 1.', Liancong Luo, 16 Dec 2017
RC2: 'Review of manuscript gmd-2017-182, Luo et al., Auto-calibration of water quality model', Anonymous Referee #2, 18 Nov 2017
- AC3: 'reply to the comments from reviewer 2.', Liancong Luo, 16 Dec 2017
- AC4: 'Revised manuscript', Liancong Luo, 16 Dec 2017

Peer-review completion

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

AR by Liancong Luo on behalf of the Authors (16 Dec 2017) Manuscript

ED: Publish as is (10 Jan 2018) by Sandra Arndt

AR by Liancong Luo on behalf of the Authors (17 Jan 2018)

Short summary

We developed an autocalibration software for the hydrodynamic-ecological lake model DYRESM-CAEDYM with a massive number of water quality parameters, using a Monte Carlo sampling method, in order to reduce time-consuming iterative simulations with empirical judgements and find optimal model parameter set. The successful applications to Lake Rotorua suggest this software is much more efficient than traditional methods and of wide applicability to other water quality models.