Preprints
https://doi.org/10.5194/gmd-2022-101
https://doi.org/10.5194/gmd-2022-101
Submitted as: development and technical paper
05 Jul 2022
Submitted as: development and technical paper | 05 Jul 2022
Status: this preprint is currently under review for the journal GMD.

FEOTS: A New Offline Code for the Fast Equilibration of Tracers in the Ocean

Joseph Schoonover1, Wilbert Weijer2, and Jiaxu Zhang3,4 Joseph Schoonover et al.
  • 1Fluid Numerics LLC., Boulder, CO 80304
  • 2Los Alamos National Laboratory, Los Alamos, NM 87545
  • 3Cooperative Institute for Climate, Ocean, and Ecosystem Studies, University of Washington, Seattle, WA 98105
  • 4NOAA/Pacific Marine Environmental Laboratory, Seattle, WA 98115

Abstract. In this paper we introduce a new software framework for the offline calculation of tracer transport in the ocean. The Fast Equilibration of Ocean Tracers Software (FEOTS) is an end-to-end set of tools to efficiently calculate tracer distributions on a global or regional sub-domain using transport operators diagnosed from a comprehensive ocean model. To the best of our knowledge, this is the first application of a Transport Matrix Model to an eddying ocean state. We demonstrate the capabilities of FEOTS in an application focused on the Argentine Basin, where intense eddy activity and the Zapiola Anticyclone lead to strong mixing of water masses. The demonstration clearly shows the benefits of the approach, while at the same time highlighting the limitations of the Impulse Response Functions approach in capturing tracer transports by a non-linear advection scheme. Our future work will focus on improving the computational efficiency of the code to reduce time-to-solution, and on using different basis functions to better represent non-linear advection operators.

Joseph Schoonover et al.

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2022-101', Astrid Kerkweg, 06 Jul 2022 reply
    • CC1: 'Reply on CEC1', Joseph Schoonover, 13 Jul 2022 reply
  • CC2: 'Comment on gmd-2022-101', Ann Bardin, 10 Aug 2022 reply
  • RC1: 'Comment on gmd-2022-101', Ann Bardin, 17 Aug 2022 reply

Joseph Schoonover et al.

Data sets

FEOTS Argentine Basin Transport Operators (5-day Average) Joseph Schoonover, Wilbert Weijer, Jiaxu Zhang https://www.doi.org/10.5281/zenodo.6250938

Model code and software

FluidNumerics/FEOTS: v0.0.0 Joseph Schoonover, Wilbert Weijer, Jiaxu Zhang https://doi.org/10.5281/zenodo.5576911

Joseph Schoonover et al.

Viewed

Total article views: 341 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
247 78 16 341 2 2
  • HTML: 247
  • PDF: 78
  • XML: 16
  • Total: 341
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 05 Jul 2022)
Cumulative views and downloads (calculated since 05 Jul 2022)

Viewed (geographical distribution)

Total article views: 326 (including HTML, PDF, and XML) Thereof 326 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Nov 2022
Download
Short summary
FEOTS aims to enhance the value of data produced by state-of-the-art climate models by providing a framework to diagnose and use ocean transport operators for offline passive tracer simulations. We show that we can capture ocean transport operators from a validated climate model and employ these operators to estimate water mass budgets in an offline regional simulation, using a small fraction of the compute resources required to run a full climate simulation.