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Characterizing the impacts of turbulence closures on real hurricane forecasts: a comprehensive joint assessment of grid resolution, horizontal turbulence models, and horizontal mixing length

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Characterizing the impacts of turbulence closures on real hurricane forecasts: a comprehensive joint assessment of grid resolution, horizontal turbulence models, and horizontal mixing length
 
Identifier https://doi.org/10.7910/DVN/D6P6VC
 
Creator Romdhani, Oussama
Zhang, Jun
Momen, Mostafa
 
Publisher Harvard Dataverse
 
Description This dataset includes WRF output files for five simulated hurricanes (Florence, Katrina, Maria, Irma, and Gustav) using Smag2D, TKE and no horizontal turbulence models at 32 km grid resolution. For Smag2D and TKE, the horizontal eddy diffusion is varied by a control coefficient (cLh) to investigate the impact of horizontal turbulence models on hurricane forecasts. Please follow the instructions to load the data and the following reference to interpret the cases.

Romdhani, O., J. Zhang, and M. Momen, 2022: “Characterizing the impacts of turbulence closures on real hurricane forecasts: a comprehensive joint assessment of grid resolution, horizontal turbulence models, and horizontal mixing length”, Journal of Advances in Modeling Earth Systems, under minor revision.
 
Subject Earth and Environmental Sciences
Engineering
Hurricane Simulations, Turbulence, Horizontal Diffusion Parameterization, Wind Intensity, Geophysical Fluid Dynamics, Numerical Weather Prediction
 
Language English
 
Contributor Romdhani, Oussama
 
Type netCDF