Brief communication: PICOP, a new ocean melt parameterization under ice shelves combining PICO and a plume model

Pelle, Tyler; Morlighem, Mathieu; Bondzio, Johannes H.

doi:https://doi.org/10.5194/tc-13-1043-2019

Articles | Volume 13, issue 3

https://doi.org/10.5194/tc-13-1043-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-13-1043-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 3

Brief communication

|

01 Apr 2019

Brief communication |

| 01 Apr 2019

Brief communication: PICOP, a new ocean melt parameterization under ice shelves combining PICO and a plume model

Tyler Pelle, Mathieu Morlighem, and Johannes H. Bondzio

Download

Final revised paper (published on 01 Apr 2019)
Supplement to the final revised paper
Preprint (discussion started on 14 Nov 2018)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of "Brief communication: PICOP, a new ocean melt parameterization under ice shelves combining PICO and a plume model"', David Gwyther, 29 Nov 2018
RC2: 'Review of tc-2018-216', Hartmut Hellmer, 19 Dec 2018
AC1: 'Author's response to the editor and reviewers on TC-2018-216', Tyler Pelle, 25 Jan 2019

Peer-review completion

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

AR by Tyler Pelle on behalf of the Authors (25 Jan 2019) Author's response Manuscript

ED: Publish subject to technical corrections (19 Mar 2019) by Olaf Eisen

AR by Tyler Pelle on behalf of the Authors (20 Mar 2019) Manuscript

Short summary

How ocean-induced melt under floating ice shelves will change as ocean currents evolve remains a big uncertainty in projections of sea level rise. In this study, we combine two of the most recently developed melt models to form PICOP, which overcomes the limitations of past models and produces accurate ice shelf melt rates. We find that our model is easy to set up and computationally efficient, providing researchers an important tool to improve the accuracy of their future glacial projections.