Articles | Volume 16, issue 2
https://doi.org/10.5194/gmd-16-705-2023
https://doi.org/10.5194/gmd-16-705-2023
Development and technical paper
 | 
30 Jan 2023
Development and technical paper |  | 30 Jan 2023

Monthly-scale extended predictions using the atmospheric model coupled with a slab ocean

Zhenming Wang, Shaoqing Zhang, Yishuai Jin, Yinglai Jia, Yangyang Yu, Yang Gao, Xiaolin Yu, Mingkui Li, Xiaopei Lin, and Lixin Wu

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Cited articles

Anthes, R. A.: Tropical Cyclones: Their Evolution, Structure, and Effects, Meteorological Monographs, edited by: Dutton, J., American Meteorological Society, Boston, United States, 184–211, https://doi.org/10.1007/978-1-935704-28-7, 1982. 
Benjamin, S. G. and Daniel, R. C.: Surface heat flux parameterizations and tropical Pacific Sea surface temperature simulations, J. Geophys. Res., 98, 6979–6989, https://doi.org/10.1029/93JC00323, 1993. 
Chassignet, E. P., Smith, L. T., Halliwell, G. R., and Bleck, R.: North Atlantic Simulations with the Hybrid Coordinate Ocean Model (HYCOM): Impact of the Vertical Coordinate Choice, Reference Pressure, and Thermobaricity, J. Phys. Oceanogr., 33, 2504–2526, https://doi.org/10.1175/1520-0485(2003)033<2504:NASWTH>2.0.CO;2, 2003. 
Chen, F., Shapiro, G., and Thain, R.: Sensitivity of Sea Surface Temperature Simulation by an Ocean Model to the Resolution of the Meteorological Forcing, ISRN Oceanogr., 2013, 1–12, https://doi.org/10.5402/2013/215715, 2013. 
Cummings, J. A. and Smedstad, O. M.: Variational Data Assimilation for the Global Ocean, Oceanic and Hydrologic Applications, 303–343, https://doi.org/10.1007/978-3-642-35088-7_13, 2013. 
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To improve the numerical model predictability of monthly extended-range scales, we use the simplified slab ocean model (SOM) to restrict the complicated sea surface temperature (SST) bias from a 3-D dynamical ocean model. As for SST prediction, whether in space or time, the WRF-SOM is verified to have better performance than the WRF-ROMS, which has a significant impact on the atmosphere. For extreme weather events such as typhoons, the predictions of WRF-SOM are in good agreement with WRF-ROMS.