The impacts of adjusting momentum roughness length on strong and weak hurricanes forecasts: a comprehensive analysis of weather simulations and observations
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes the output files of Weather Research and Forecasting (WRF) model simulations for one strong (Dorian) and one weak (Gert) hurricane. Each of the hurricanes has four sub-directories where the results of different momentum roughness length (z0) modifications are saved. The z0 is varied by the control parameter Clz which ranges from 0.0001 to 100. For postprocessing the WRF output files and reading the files of this dataset, some Python scripts are provided that can be used to obtain and plot the wind intensity of simulated hurricanes.For further details about the cases, simulations, and insights about the runs please refer to the following published paper:Li, M., J. A. Zhang, L. Matak, and M. Momen, 2023: The impacts of adjusting momentum roughness length on strong and weak hurricanes forecasts: a comprehensive ana' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Momentum roughness length"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset includes the output files of Weather Research and Forecasting (WRF) model simulations for one strong (Dorian) and one weak (Gert) hurricane. Each of the hurricanes has four sub-directories where the results of different momentum roughness length (z0) modifications are saved. The z0 is varied by the control parameter Clz which ranges from 0.0001 to 100. For postprocessing the WRF output files and reading the files of this dataset, some Python scripts are provided that can be used to obtain and plot the wind intensity of simulated hurricanes.For further details about the cases, simulations, and insights about the runs please refer to the following published paper:Li, M., J. A. Zhang, L. Matak, and M. Momen, 2023: The impacts of adjusting momentum roughness length on strong and weak hurricanes forecasts: a comprehensive ana' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset includes the output files of Weather Research and Forecasting (WRF) model simulations for one strong (Dorian) and one weak (Gert) hurricane. Each of the hurricanes has four sub-directories where the results of different momentum roughness length (z0) modifications are saved. The z0 is varied by the control parameter Clz which ranges from 0.0001 to 100. For postprocessing the WRF output files and reading the files of this dataset, some Python scripts are provided that can be used to obtain and plot the wind intensity of simulated hurricanes.For further details about the cases, simulations, and insights about the runs please refer to the following published paper:Li, M., J. A. Zhang, L. Matak, and M. Momen, 2023: The impacts of adjusting momentum roughness length on strong and weak hurricanes forecasts: a comprehensive ana
Momentum roughness length