Plotting code and data for figures in ''Data Assimilation of Ion Drift Measurements for Estimation of Ionospheric Plasma Drivers''
<h2>2024_Hu_SpaceWeather_Data Assimilation of Ion Drift Measurements for Estimation of Ionospheric Plasma Drivers</h2> <p>This package includes the scripts and files for reproducing the plots (or subplots) in the paper, J. Hu, S. McDonald, A. Chartier, A. L. Rubio, S. Datta-Barua, Data Assimilation of Ion Drift Measurements for Estimation of Ionospheric Plasma Drivers, Space Weather.</p> <p> </p> <p> </p> <p>plotting_code_fig6.m : MATLAB code plotting the figure 6, SAMI3/IDA4D TEC global map</p> <p>---> calc_noon.m : MATLAB function calculating noon time location for the specific UT</p> <p>---> plot_tec_map.m : MATLAB function inside the plotting_code_fig.m</p> <p>plotting_code_fig8.m : MATLAB code plotting the figure 8, validation results compared to Millstone Hill Incoherent Scatter Radar measurements</p> <p>plotting_code_fig9.m : MATLAB code plotting the figure 9, validation results compared to SuperDARN measurements</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0