The Meridionally Averaged Model of Eastern Boundary Upwelling Systems (MAMEBUSv1.0)

Moscoso, Jordyn E.; Stewart, Andrew L.; Bianchi, Daniele; McWilliams, James C.

doi:https://doi.org/10.5194/gmd-14-763-2021

Articles | Volume 14, issue 2

https://doi.org/10.5194/gmd-14-763-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-763-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

Model description paper

|

04 Feb 2021

Model description paper |

| 04 Feb 2021

The Meridionally Averaged Model of Eastern Boundary Upwelling Systems (MAMEBUSv1.0)

Jordyn E. Moscoso, Andrew L. Stewart, Daniele Bianchi, and James C. McWilliams

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Final revised paper (published on 04 Feb 2021)
Preprint (discussion started on 10 Aug 2020)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Referee comment for Moscoso et al, 2020', Anonymous Referee #1, 22 Oct 2020
- AC1: 'Response to reviewer comments', Jordyn Moscoso, 04 Dec 2020
RC2: 'Review of Moscoso et al. - MAMEBUS model', Anonymous Referee #2, 27 Oct 2020
- AC1: 'Response to reviewer comments', Jordyn Moscoso, 04 Dec 2020

Peer-review completion

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

AR by Jordyn Moscoso on behalf of the Authors (05 Dec 2020) Author's response Manuscript

ED: Publish as is (10 Dec 2020) by Qiang Wang

AR by Jordyn Moscoso on behalf of the Authors (18 Dec 2020) Author's response Manuscript

Short summary

This project was created to understand the across-shore distribution of plankton in the California Current System. To complete this study, we used a quasi-2-D dynamical model coupled to an ecosystem model. This paper is a preliminary study to test and validate the model against data collected by the California Cooperative Oceanic Fisheries Investigations (CalCOFI). We show the solution of our model solution compares well to the data and discuss our model as a tool for further model development.