Evaluation of the Applicability of AEOLUS Satellite Wind Products in Antarctica

# README ## Data and Code Description This package supports the paper **"Evaluation of the Applicability of AEOLUS Satellite Wind Products in Antarctica"**. It contains all data and code needed to reproduce every analysis and figure presented in the manuscript. ### Folder Structure - **data/**: Processed data files for analysis and plotting. - **code/**: Python scripts for data processing, analysis, and visualization. - **README.md**: This documentation file. --- ## System Requirements - **Operating System:** Windows 10 (or equivalent) - **Language & Dependencies:** - Python 3.9 or higher - See `requirements.txt` for a full list (e.g., `numpy`, `pandas`, `scipy`, `matplotlib`). --- ## Usage Instructions 1. **Unpack** the archive to your working directory. 2. **(Optional, recommended)** Create a Python virtual environment and install dependencies: ```bash python -m venv venv source venv/bin/activate # Linux/macOS venv\Scripts\activate # Windows pip install -r requirements.txt ``` 3. **Run the analysis scripts** in the `/code` directory **in the following order**: 1. `01_difference_hlos_components.py` Performs threshold filtering on the HLOS wind components. 2. `02_calculate_wind_bias_and_figures.py` Calculates bias statistics between Aeolus measurements and ERA5, and generates corresponding plots. 3. `03_satellite_trajectory_map.py` Produces the satellite trajectory map over sounding stations. **Note:** raw trajectory data must be downloaded separately; only preprocessed data are included here. 4. `04_monthly_average_deviation.py` Computes and plots the monthly average wind bias of the Aeolus (Mie) instrument. 5. `06_wind_speed_bias_distribution.py` Generates altitude-resolved bias distributions for Aeolus wind speed. 6. `07_wind_speed_std_distribution.py` Generates altitude-resolved standard deviation distributions of Aeolus wind speed. --- ## Data Source All raw Aeolus Level-2B data and ERA5 reference data were obtained from the Copernicus Climate Data Store: > https://aeolus-ds.eo.esa.int/oads/access/collection >https://cds.climate.copernicus.eu/datasets >https://weather.uwyo.edu/upperair/seasia.html --- *Last updated: June 2025*