Numerical integrators for Lagrangian oceanography

Nordam, Tor; Duran, Rodrigo

doi:https://doi.org/10.5194/gmd-13-5935-2020

Articles | Volume 13, issue 12

https://doi.org/10.5194/gmd-13-5935-2020

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

https://doi.org/10.5194/gmd-13-5935-2020

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

Articles | Volume 13, issue 12

Development and technical paper

|

01 Dec 2020

Development and technical paper |

| 01 Dec 2020

Numerical integrators for Lagrangian oceanography

Tor Nordam and Rodrigo Duran

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Final revised paper (published on 01 Dec 2020)
Preprint (discussion started on 24 Jun 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of “Numerical integrators for Lagrangian oceanography” by Nordam and Duran', Anonymous Referee #1, 08 Jul 2020
- AC1: 'Response to reviewer 1', Tor Nordam, 23 Jul 2020
RC2: 'Review of "Numerical integrators for Lagrangian oceanography"', Anonymous Referee #2, 20 Jul 2020
- AC2: 'Response to reviewer 2', Tor Nordam, 30 Jul 2020

Peer-review completion

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

AR by Tor Nordam on behalf of the Authors (21 Sep 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (08 Oct 2020) by R. Marsh

ED: Publish as is (08 Oct 2020) by R. Marsh

AR by Tor Nordam on behalf of the Authors (08 Oct 2020)

Post-review adjustments

AA: Author's adjustment | EA: Editor approval

AA by Tor Nordam on behalf of the Authors (24 Nov 2020) Author's adjustment Manuscript

EA: Adjustments approved (24 Nov 2020) by R. Marsh

Short summary

In applied oceanography, a common task is to calculate the trajectory of objects floating at the sea surface or submerged in the water. We have investigated different numerical methods for doing such calculations and discuss the benefits and challenges of some common methods. We then propose a small change to some common methods that make them more efficient for this particular application. This will allow researchers to obtain more accurate answers with fewer computer resources.