MAOOAM

The Modular Arbitrary-Order Ocean-Atmosphere Model (MAOOAM) developed by Lesley De Cruz and Jonathan Demaeyer is a sophisticated software system that allows researchers to simulate and analyze the complex interactions between the atmosphere and the ocean. In this article, we will explore the key aspects of MAOOAM, including its model description, implementation notes, and related projects.

Model Description

MAOOAM combines the atmospheric component based on the works of Charney and Straus, Reinhold and Pierrehumbert, and Cehelsky and Tung with the ocean component based on the papers of Pierini, Barsugli and Battisti. This coupling allows for the simulation of various phenomena such as wind forcings, radiative and heat exchanges, and more. By integrating these two components, MAOOAM provides a comprehensive model for understanding the interactions between the atmosphere and the ocean.

Implementation Notes

One of the interesting aspects of MAOOAM is its implementation using tensor contractions. The system of differential equations in MAOOAM can be expressed as a tensor contraction where the tensor encodes the contributions of each variable and their dependencies. This approach allows for efficient computation and representation of the model’s dynamics. The tensor is composed as an upper triangular matrix, making it easier to analyze and manipulate.

Related Projects

MAOOAM is part of a wider ecosystem of climate modeling projects. One notable project that includes the MAOOAM implementation is DAPPER (Data Assimilation Package in Python for Experimental Research). DAPPER provides tools and libraries for conducting data assimilation experiments and includes the MAOOAM Python implementation within its package. This integration allows researchers to easily use MAOOAM within the DAPPER framework, enabling seamless simulations and analysis.

Conclusion

The Modular Arbitrary-Order Ocean-Atmosphere Model (MAOOAM) is a powerful software system that provides researchers with a comprehensive tool for studying the interactions between the atmosphere and the ocean. With its sophisticated model description, efficient tensor-based implementation, and integration with related projects like DAPPER, MAOOAM offers a unique and versatile solution for climate research and scientific simulation.

If you have any questions about MAOOAM or you’d like to learn more about its capabilities, feel free to reach out and engage with the repository owner and contributors. The MAOOAM code repository on GitHub is regularly updated and provides additional resources for further exploration.

References:
– De Cruz, L., Demaeyer, J., & Vannitsem, S. (2016). The Modular Arbitrary-Order Ocean-Atmosphere Model: MAOOAM v1.0. Geoscientific Model Development, 9(8), 2793-2808. doi:10.5194/gmd-9-2793-2016

Acknowledgements:
– Lesley De Cruz
– Jonathan Demaeyer

Licensing Information:
– Please see the LICENSE.txt file in the MAOOAM repository for licensing details.

To access the MAOOAM repository on GitHub, click here.