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**: - **01_rs_binavg_to_aeolus.py** Perform vertical bin-averaging of radiosonde data to match Aeolus vertical resolution. - **02_era5_binavg_to_aeolus_strict.py** Perform strict vertical bin-averaging of ERA5 reanalysis data to match Aeolus profiles. - **03_merge_rs_era5_binavg.py** Merge radiosonde and ERA5 bin-averaged datasets into unified collocation files. - **04_ee_threshold_sensitivity.py** Sensitivity analysis for EE (estimated error) thresholds applied to Aeolus observations. - **05_outlier_removal.py** Apply Modified Z-score and other criteria to remove outliers from Aeolus–RS/ERA5 collocations. - **06_station_statistics.py** Compute collocation statistics grouped by station (Rothera, Mawson, Davis). - **07_plot_scatter.py** Generate scatterplots comparing Aeolus vs. RS/ERA5 winds. - **08_plot_meteorology.py** Generate meteorological context figures (e.g., ERA5 composites, cyclone cases). --- ## 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: Sep 2025*