DeepSData
Dataset guide · Geospatial & remote sensing

The Impacts of Sub-grid Scale Parameterization of Large-eddy Simulations on Real Hurricane Dynamics and Forecasts

This dataset contains output files from WRF v4.2.2 configured in LES mode for Hurricane Sam (2021), evaluating three subgrid-scale parameterizations (ck=0.075, 0.15, 0.3), including hourly LES results, boundary conditions, initial conditions, and post-processing scripts.

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Geospatial & remote sensingFree to access

Key facts

InstitutionSee official page
CoverageHurricane Sam (2021)
Time span2021
Scale37 files

Contents & fields

The dataset contains output files from WRF v4.2.2 in LES mode for Hurricane Sam (2021). Directories are organized by SGS case (ck_0.075/, ck_def/, ck_0.3/), each containing hourly LES results (wrfout_d03_*), boundary condition (wrfbdy_d01), initial condition (wrfinput_d0*), and namelist.input file. Python scripts for post-processing 10-m wind intensity and minimum sea-level pressure time series are included.

  • wrfout_d03_*——Hourly LES output files
  • wrfbdy_d01——Boundary condition file
  • wrfinput_d0*——Initial condition file
  • namelist.input——Model configuration file
  • Python scripts——Post-processing for 10-m wind intensity and minimum sea-level pressure time series

Research uses

Can be used to study the impact of subgrid-scale parameterization on hurricane dynamics and forecasts, evaluate different SGS configurations in real hurricane simulations, and validate/improve LES schemes.

Information comes from the source page. Please check that page for current details and terms.

Keywords

large-eddy simulationsubgrid-scale parameterizationhurricaneWRFLESHurricane Sam

Access and licence

Licence: License statement is still being checked · Source page
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| Free to access

Why this is hard to get on your own

Access high-resolution LES output data for real hurricanes to evaluate the impact of different subgrid-scale parameterizations on hurricane dynamics and forecasts.

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