Automated Author ProfileKhan, Mehtab
0000-0001-7953-0941
Khan, Mehtab
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.4 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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
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
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
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