Automated Author Profile

Khan, Mehtab

0000-0001-7953-0941

Current S-Index

1.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

78.8%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Supplementary data to publication: Dependence of wind-farm-induced gravity waves and wind farm performance on non-dimensional atmospheric parameters and simulation configuration (Data & Code) (Version: 1)

This dataset contains simulated raw data, an example Jupyter notebook, and simulation setup files used in TOSCA to study the dependence of wind farm-induced atmospheric gravity waves and wind farm performance on flow conditions and simulation configuration. The attached ReadMe file provides the data hierarchy and workflow routine to reproduce the plots reported in the journal paper. The same routine can be used to conduct further analysis of the large eddy simulation data. A few setup files might be missing, which can be acquired from other cases. Note that the plots produced and reported in the article follow the aims and objectives of the paper and extending the methods while using this data should be done carefully.

Authors

  • Khan, Mehtab ;
  • Churchfield, Matthew ;
  • Watson, Simon
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.4121/d10f3eec-4363-4017-ad00-69136a8016572026

Supplementary data to publication: Dependence of wind-farm-induced gravity waves and wind farm performance on non-dimensional atmospheric parameters and simulation configuration (Data & Code) (Version: 1)

This dataset contains simulated raw data, an example Jupyter notebook, and simulation setup files used in TOSCA to study the dependence of wind farm-induced atmospheric gravity waves and wind farm performance on flow conditions and simulation configuration. The attached ReadMe file provides the data hierarchy and workflow routine to reproduce the plots reported in the journal paper. The same routine can be used to conduct further analysis of the large eddy simulation data. A few setup files might be missing, which can be acquired from other cases. Note that the plots produced and reported in the article follow the aims and objectives of the paper and extending the methods while using this data should be done carefully.

Authors

  • Khan, Mehtab ;
  • Churchfield, Matthew ;
  • Watson, Simon
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.4121/d10f3eec-4363-4017-ad00-69136a801657.v12026

Supplementary data to publication: Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications (Version: 1)

This repository contains analyzed and example raw data acquired fromnumerical simulation of flow over a bell-shaped hill (WOA) and through wind farm canopy (WFC) under idealized linearly stratified temperature conditions.A simulation setup of each scenario from SOWFA-6, the large eddy simulation code used for this study, is also provided.The analyzed data is numerical results, mainly line plots, presented in the manuscript titled"Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications".The folder tree and the data contained in it are described below.
anlysed_data: A .xlsx file containing 4 sheets containing the data and line plots in the journal article.example_code_data: A set of .vtk files each containing the velocity field for the WOA scenario, and a jupyter notebook that reads these files for estimatingreflection coefficient (Cr) and relative-root mean square error (R-RMSE) from the vertical velocity component.example_setups: Example model setup files from SOWFA-6, one each for WOA and WFC simulations under linearly stratified conditions, and a successor WFC case for conventionally neutral boundary layer conditions from TOSCA.

Authors

  • Khan, Mehtab ;
  • Allaerts, Dries ;
  • Watson, Simon ;
  • Churchfield, Matthew
1 Citation0 Mentions73% FAIR0.7 Dataset Index
10.4121/6737d3a7-cdeb-41d3-b0b2-11915e4b6cec2025

Supplementary data to publication: Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications (Version: 1)

This repository contains analyzed and example raw data acquired fromnumerical simulation of flow over a bell-shaped hill (WOA) and through wind farm canopy (WFC) under idealized linearly stratified temperature conditions.A simulation setup of each scenario from SOWFA-6, the large eddy simulation code used for this study, is also provided.The analyzed data is numerical results, mainly line plots, presented in the manuscript titled"Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves in Wind Energy Applications".The folder tree and the data contained in it are described below.
anlysed_data: A .xlsx file containing 4 sheets containing the data and line plots in the journal article.example_code_data: A set of .vtk files each containing the velocity field for the WOA scenario, and a jupyter notebook that reads these files for estimatingreflection coefficient (Cr) and relative-root mean square error (R-RMSE) from the vertical velocity component.example_setups: Example model setup files from SOWFA-6, one each for WOA and WFC simulations under linearly stratified conditions, and a successor WFC case for conventionally neutral boundary layer conditions from TOSCA.

Authors

  • Khan, Mehtab ;
  • Allaerts, Dries ;
  • Watson, Simon ;
  • Churchfield, Matthew
1 Citation0 Mentions73% FAIR0.7 Dataset Index
10.4121/6737d3a7-cdeb-41d3-b0b2-11915e4b6cec.v12025