AWESOME-OCIM: Difference between revisions
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</ref> The circulation of the ocean is described in the form of a matrix where the ocean is discretized into a 3D shoebox by latitude, longitude, and depth. The circulation matrix is based off of a study by DeVries and Preimeau in which they sought to constrain estimates of water-mass distributions and ages in the global ocean. <ref> DeVries, T., & Primeau, F. (2011). Dynamically and observationally constrained estimates of water-mass distributions and ages in the global ocean. Journal of Physical Oceanography, 41(12), 2381–2401.</ref> | </ref> The circulation of the ocean is described in the form of a matrix where the ocean is discretized into a 3D shoebox by latitude, longitude, and depth. The circulation matrix is based off of a study by DeVries and Preimeau in which they sought to constrain estimates of water-mass distributions and ages in the global ocean. <ref> DeVries, T., & Primeau, F. (2011). Dynamically and observationally constrained estimates of water-mass distributions and ages in the global ocean. Journal of Physical Oceanography, 41(12), 2381–2401.</ref> | ||
The AWESOME OCIM is a steady-state modeling tool, meaning there is no time component when modeling tracer distribution. This results in some limitations for its use, however, an advantage to using this tool is that it can complete runs on a local computer in as little as 4 seconds. | The AWESOME OCIM is a steady-state modeling tool, meaning there is no time component when modeling tracer distribution. This results in some limitations for its use, however, an advantage to using this tool is that it can complete runs on a local computer in as little as 4 seconds. | ||
Biogeochemical processes are represented by a series of linear equations. This may sound intimidating to non-math folk, however the processes are written in a modular format that guides users clearly on how to input parameters and create models. Sources and sinks of tracers include dust, hydrothermal vents, biological cycling, and scavenging. | |||
== Scales of interest == | == Scales of interest == | ||
Revision as of 11:28, 7 April 2026
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| Model type |
|---|
| Approach: Statistical, Mechanistic optimized, or Mechanistic time-dependent |
| Computational demand: Local or HPC |
| Spatial resolution: grid: e.g. um, L, ocean basin; domain: |
| Temporal resolution: time step: e.g. s, h, day, steady-state; output: |
Model overview
A Working Environment for Simulating Ocean Movement and Elemental cycling with an Ocean Circulation Inverse Model (AWESOME OCIM) is a tool for simulating ocean movement and tracer biogeochemical properties within a transport matrix model (TMM) framework.[1] The circulation of the ocean is described in the form of a matrix where the ocean is discretized into a 3D shoebox by latitude, longitude, and depth. The circulation matrix is based off of a study by DeVries and Preimeau in which they sought to constrain estimates of water-mass distributions and ages in the global ocean. [2]
The AWESOME OCIM is a steady-state modeling tool, meaning there is no time component when modeling tracer distribution. This results in some limitations for its use, however, an advantage to using this tool is that it can complete runs on a local computer in as little as 4 seconds.
Biogeochemical processes are represented by a series of linear equations. This may sound intimidating to non-math folk, however the processes are written in a modular format that guides users clearly on how to input parameters and create models. Sources and sinks of tracers include dust, hydrothermal vents, biological cycling, and scavenging.
Scales of interest
Data inputs
Example Studies & Code
Classic examples
Recent applications
Limitations
References
- ↑ John, S. G., Liang, H., Weber, T., DeVries, T., Primeau, F., Moore, K., Holzer, M., Mahowald, N., Gardner, W., Mishonov, A., Richardson, M. J., Faugere, Y., & Taburet, G. (2020). AWESOME OCIM: A simple, flexible, and powerful tool for modeling elemental cycling in the oceans. Chemical Geology, 533, 119403. https://doi.org/10.1016/j.chemgeo.2019.119403
- ↑ DeVries, T., & Primeau, F. (2011). Dynamically and observationally constrained estimates of water-mass distributions and ages in the global ocean. Journal of Physical Oceanography, 41(12), 2381–2401.