Articles | Volume 15, issue 5
Geosci. Model Dev., 15, 2345–2363, 2022
https://doi.org/10.5194/gmd-15-2345-2022
Geosci. Model Dev., 15, 2345–2363, 2022
https://doi.org/10.5194/gmd-15-2345-2022

Model evaluation paper 18 Mar 2022

Model evaluation paper | 18 Mar 2022

The effects of ocean surface waves on global intraseasonal prediction: case studies with a coupled CFSv2.0–WW3 system

Ruizi Shi et al.

Data sets

CFSv2.0 Initial Fields NOAA https://nomads.ncep.noaa.gov/pub/data/nccf/com/cfs/prod

Optimum Interpolation SST National Centers for Environmental Information https://www.ncdc.noaa.gov/oisst

National Data Buoy Center NOAA https://www.ndbc.noaa.gov

Argo Observational Profiles of T&S China Argo Real-time Data Center http://www.argo.org.cn/index.php?m=content&c=index&a=lists&catid=100

ERA5 hourly data on single levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

Model code and software

The Effects of Ocean Surface Waves on Global Forecast in CFS Modeling System v2.0 Ruizi Shi, Fanghua Xu, Li Liu, Zheng Fan, and Hao Yu https://doi.org/10.5281/zenodo.5811002

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Short summary
To better understand the effects of surface waves on global intraseasonal prediction, we incorporated the WW3 model into CFSv2.0. Processes of Langmuir mixing, Stokes–Coriolis force with entrainment, air–sea fluxes modified by Stokes drift, and momentum roughness length were considered. Results from two groups of 56 d experiments show that overestimated sea surface temperature, 2 m air temperature, 10 m wind, wave height, and underestimated mixed layer from the original CFSv2.0 are improved.