NC² Features

1. File Selection and Variable Handling

Select NetCDF File: Easily choose and load NetCDF files for analysis.
Variable Selection: A dropdown menu to select the specific variable of interest from the loaded NetCDF file (e.g., water_temp, salinity, etc.).

Time Step Selection: Choose the specific time step for the data visualization.
Depth Level Selection: Select the depth level of interest

Data Summary: Display basic statistics for the selected DTG and/or depth, including mean, median, standard deviation, anomalies detected, minimum, and maximum values.
Cursor Location Information: Real-time display of the cursor’s longitude and latitude coordinates, I and J indices, and the corresponding data value at that location.

Plot Type Selection: Choose different plot types such as pcolormesh, contour, contourf, quiver, streamplot, and imshow, with dynamically updated customization variables.
Colormap Selection: Select from various colormaps (e.g., jet) to enhance the visualization and interpretation of data.
Reverse Colormap: Option to reverse the colormap for better contrast and data representation.
Colorbar Orientation: Customize the orientation of the colorbar (left, right, top, bottom) to suit the presentation needs.
Adjustable Value Limits: Set custom limits for the color range (V-Max, V-Min) to focus on specific data ranges.
Geographical Extents: Specify the geographical extents for the plot to zoom into particular regions of interest.
Projections: Specify the projection for the plot (e.g., PlateCarree).

Gridlines Toggle: Enable or disable gridlines on the plot for better spatial referencing and specify alpha (transparency).
Masking Toggle: Enable Cartopy Feature ocean and land masking.
Axis Labels: Add labels to the X and Y axes for clear identification of the data dimensions.
Plot Title: Set a custom title for the plot to provide context and clarity.

Show in Window: Display the selected data variable in a separate window.
Save as GIF: Option to save the animation as a GIF for easy sharing and presentation.
GIF Options: Options for GIF generation:
- FPS: Specify the FPS (Frames Per Second) of the GIF file
- Range: Specify the indice that the GIF generation should stop at
- Loop: Produce a looping GIF file
- Delete/Save Images: Delete or save images after GIF generation
Playback Controls: Play, pause, reverse, speed up, slow down, and stop animations to analyze temporal changes in the dataset.

Time Series: Generate time series and histogram plots to analyze data trends over time, and at a specific depth.
Depth Series: Generate depth series and histogram plots to analyze data trends over depth, and at a specific time.
Vertical Section: Create vertical section plots at latitude or longitude slices to examine vertical variations in the dataset.

Modern GUI: Intuitive and user-friendly interface designed for ease of use, reducing the learning curve for new users.
Theme Customization: Toggle between light and dark modes for a comfortable viewing experience in different lighting conditions.
Detailed Legends and Labels: Enhanced legends and labels for better understanding and interpretation of the plots.
Multiple Plotting Windows: Capability to open multiple plotting windows simultaneously for comparative analysis.

Built with Cartopy and Matplotlib: Leverages powerful Python libraries for cartographic projections and high-quality plotting, ensuring accuracy and flexibility.
Publication-Quality Plots: Ability to produce highly customizable and publication-quality plots suitable for scientific presentations and publications.

Navigation Toolbar: Plot navigation toolbar with buttons:
- Reset original view
- Back to previous view
- Forward to next view
- Pan figure
- Zoom to rectangle
- Configure subplots
- Save figure
Comprehensive Documentation: Detailed user documentation available to help users understand and utilize all features effectively.

For any inquiries, suggestions, or feedback, feel free to reach out:

Email: rhettadambusiness@gmail.com

Rhett R. Adam

VU Undergrad EES