0.3.1

✨ New Features

This update primarily introduces two significant new features:

1. Enhanced Visualization: Curved Wind Vector Field Plotting 🌪️

   • Added the capability to plot wind vector fields that account for airflow curvature.
   • Compared to traditional straight-arrow vector plots, this new method provides a more realistic representation of wind patterns and airflow trajectories in the actual atmosphere, especially useful for analyzing complex weather systems like vortices and jet streams.
   • (Optional: If you want to mention specific functions or modules used, you can add that here, e.g., "This is primarily implemented via the plot_curved_vectors() function.")

2. Causality Analysis Extension: Integrated Liang Information Flow (Liang Causality) 📊

   • Integrated the Liang information flow/causality analysis method.
   • This method helps quantify and identify directed causal relationships and the rate of information transfer between different time-series variables, offering a new tool for mechanistic analysis in atmospheric science research.
   • (Optional: You can briefly describe its main application scenarios or advantages, e.g., "Suitable for analyzing interactions and influence pathways between different meteorological elements.")