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README

The full name of FIO-AOW is Atmosphere-Ocean-Wave coupled model which is developed at the First Institute of Oceanography, Ministry of Natural Resources. It consists of atmosphere component WRF，the 3thrd generation ocean surface wave model called MASNUM, and ocean circulation components POM&ROMS. These three components are integrated together through a community coupler known as C-Coupler. It should be noted that all the components of FIO-AOW are open-source except MASNUM. The copyright for MASNUM is owned by FIO, and its use requires permission and approval. The ocean and wave components of FIO-AOW, POM and MASNUM, were speeded up through MPI technique by Dr. Guansuo Wang (2010). If you use this software in your research or projects, please cite it as follows:

Zhao, B. (2024). FIO-AOW (Version 1.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.14546846

FIO-AOW framework

FIO-AOW has been used to study the impacts of ocean surface waves and wave-coupled processes on tropical cyclone. Currently, the following wave related physical processes have been considered in FIO-AOW, including:

1. Thermal effect of sea spray on air-sea heat and moisture fluxes
2. Sea state dependent air-sea momentum flux
3. Non-breaking wave-induced vertical mixing
4. Relative wind speed
5. Rain-induced surface cooling

Shematic of Atmosphere-Ocean-Wave interaction system

For further details on the FIO-AOW, readers may refer to the papers listed below.

1. Zhao, B., Wu, L., Wang, G., Zhang, J. A., et al., (2024). A numerical study of tropical cyclone and ocean responses to air-sea momentum flux at high winds. Journal of Geophysical Research: Oceans, 129(7), e2024JC020956, https://doi.org/10.1029/2024JC020956

2. Zhao, B., Wang, G., Zhang, J. A., Liu, L., Liu, J., Xu, J., et al. (2022). The effects of ocean surface waves on tropical cyclone intensity: Numerical simulations using a regional atmosphere-ocean-wave coupled model. Journal of Geophysical Research: Oceans, 127, e2022JC019015, https://doi.org/10.1029/2022JC019015

3. Zhao, B., Qiao, F., Cavaleri, L., Wang, G., Bertotti, L., and Liu, L. (2017), Sensitivity of typhoon modeling to surface waves and rainfall, J. Geophys. Res. Oceans, 122, 1702–1723, https://doi:10.1002/2016JC012262.

4. Wang, G., Zhao, B., Qiao, F. et al. (2018). Rapid intensification of Super Typhoon Haiyan: the important role of a warm-core ocean eddy. Ocean Dynamics 68, 1649–1661, https://doi.org/10.1007/s10236-018-1217-x

5. Li, S., Zhao, B., Ma, S., Yin, X., Ji, D., Qiao, F., 2024. Effects of Sea Spray on Extreme Precipitation Forecasting: A case study in Beijing of China. Geophysical Research Letters, 51, e2024GL109923. https://doi.org/10.1029/2024GL109923

6. Sun, C., Liu, L., Li, R., Yu, X., Yu, H., Zhao, B., Wang, G., Liu, J., Qiao, F., and Wang, B. (2021). Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0, Geosci. Model Dev., 14, 2635-2657, https://doi.org/10.5194/gmd-14-2635-2021.

7. Wang, G., Qiao, F. & Xia, C. (2010). Parallelization of a coupled wave-circulation model and its application. Ocean Dynamics 60, 331–339, https://doi.org/10.1007/s10236-010-0274-6