The Impact of a Reduced High-wind Charnock Parameter on Wave Growth With Application to the North Sea, the Norwegian Sea and the Arctic Ocean
{\O}yvind Breivik, Ana Carrasco, Hilde Haakenstad, Ole Johan Aarnes,, Arno Behrens, Jean-Raymond Bidlot, Jan-Victor Bj\"orkqvist, Patrik Bohlinger,, Birgitte R Furevik, Joanna Staneva, and Magnar Reistad

TL;DR
This study demonstrates that reducing the Charnock parameter in wave models significantly improves wave height predictions under high wind conditions in the North Sea, Norwegian Sea, and Arctic Ocean.
Contribution
The paper introduces a modified Charnock parameterization in the WAM wave model, improving high-wind wave height predictions with minimal computational cost.
Findings
Significant reduction in wave height bias during high winds.
Good agreement with in situ and altimeter measurements across multiple sea states.
Modest 14% increase in computational cost.
Abstract
As atmospheric models move to higher resolution and resolve smaller scales, the maximum modeled wind speed also tends to increase. Wave models tuned to coarser wind fields tend to overestimate the wave growth under strong winds. A recently developed semi-empirical parameterization of the Charnock parameter, which controls the roughness length over surface waves, substantially reduces the aerodynamic drag of waves in high winds (above a threshold of 30 m/s). Here we apply the formulation in a recent version of the wave model WAM (Cycle 4.7), which uses a modified version of the physics parameterizations by Ardhuin et al (2010) as well as subgrid obstructions for better performance around complex topography. The new Charnock formulation is tested with wind forcing from NORA3, a recently completed non-hydrostatic atmospheric downscaling of the global reanalysis ERA5 for the North Sea, the…
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