Open-source Python GUI implementing the MeaningFlux analytical framework for eddy covariance data: standardized visualization, gap-filling, footprint/fetch metrics, machine-learning predictability, and information-theoretic diagnostics.
MeaningFlux integrates visualization, diagnostics, and advanced analytical tools within a unified framework to facilitate exploration of ecosystem flux dynamics and their environmental drivers.
Core capabilities include:
- Time-series visualization of eddy covariance variables
- Data quality inspection and filtering
- Gap-filling tools for flux data
- Flux footprint and fetch metrics
- Annual flux budget estimation for flux variables
- Machine-learning-based predictability analysis
- Information-theoretic diagnostics (e.g., mutual information, transfer entropy)
The framework is intended to support both exploratory analysis and reproducible scientific workflows for ecosystem flux research.
Current release: v1.0
Clone the repository:
git clone https://github.com/LBL-EESA/MeaningFlux.git
cd MeaningFluxCreate a Python environment (recommended):
conda create -n meaningflux python=3.10
conda activate meaningfluxInstall required dependencies:
pip install -r requirements.txtFrom the repository root directory, launch the GUI with:
python scripts/MeaningFlux_main.pyThis will open the MeaningFlux graphical interface.
MeaningFlux expects eddy covariance datasets formatted as tabular data files (e.g., CSV).
Typical requirements include:
- A timestamp column named
TIMESTAMP_START - Regular time intervals (e.g., half-hourly or hourly)
- Standardized variable names
Missing values such as -9999 are automatically treated as missing data.
MeaningFlux/
│
├── scripts/MeaningFlux_main.py # Main launcher for the MeaningFlux GUI
├── src/ # Core computational modules
├── docs/ # Images and documentation
├── requirements.txt # Python dependencies required to run MeaningFlux
└── README.md # Project documentation and usage instructions
Leila Hernandez Rodriguez
Postdoctoral Research Fellow
Energy Geosciences Division
Lawrence Berkeley National Laboratory
GitHub: https://github.com/leilaher
LinkedIn: https://www.linkedin.com/in/leilaher/
If you use MeaningFlux in academic work, please cite the software repository:
Hernandez Rodriguez, L., & Wu, Y. (2026). MeaningFlux (Version 1.0). Lawrence Berkeley National Laboratory. GitHub repository: https://github.com/LBL-EESA/MeaningFlux
A manuscript describing the MeaningFlux analytical framework is currently in preparation.
This software is provided for research and educational purposes. Users are responsible for verifying results and ensuring appropriate interpretation of outputs when applying the software to scientific analyses.
*** Copyright Notice ***
MeaningFlux Copyright (c) 2026, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.
If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov .
NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.