EaR³T

Warning

This documentation is under active development.

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The Education and Research 3D Radiative Transfer Toolbox (EaR³T, /ɜːt/) is a Python software package developed for cutting-edge radiative transfer and remote sensing applications. It provides high-level interfaces to automate the process of performing IPA/3D radiative transfer calculations for measured or modeled cloud/aerosol fields using publicly available IPA/3D radiative transfer models including MCARaTS, libRadtran (IPA only), and SHDOM (under development).

EaR³T is publicly available at https://github.com/hong-chen/er3t and licensed under GPLv3.

Applications

  • Spaceborne and airborne remote sensing;

  • 3D radiative effects (of clouds, aerosols, and trace gases etc.);

  • Synthetic data generation (for CNN training);

  • Novel retrieval algorithm development (e.g., CNN-based).

Authors and Contributors

EaR³T was originally designed and developed by Hong Chen and Sebastian Schmidt at the University of Colorado Boulder in 2019. Hong Chen is the current maintainer.

Additionally, EaR³T has been actively contributed by the following developers:

Community Support

We believe that only together can we achieve more and go further. With this in mind, we created a Discord server aimed at fostering an informal community focused on radiative transfer and remote sensing, while also facilitating discussions and collaborations. Join us on Discord to connect and hang out together.

How to Cite

If you find EaR³T is helpful and would like to cite it, here are the references:

  • Publications

    • Chen et al., 2023

      Chen, H., Schmidt, K. S., Massie, S. T., Nataraja, V., Norgren, M. S., Gristey, J. J., Feingold, G., Holz, R. E., and Iwabuchi, H.: The Education and Research 3D Radiative Transfer Toolbox (EaR³T) - Towards the Mitigation of 3D Bias in Airborne and Spaceborne Passive Imagery Cloud Retrievals, Atmos. Meas. Tech., 16, 1971–2000, doi:10.5194/amt-16-1971-2023, 2023.

    • Chen et al., 2024

      Chen, Y.-W., Schmidt, K. S., Chen, H., Massie, S. T., Kulawik, S. S., and Iwabuchi, H.: Mitigation of satellite OCO-2 CO2 biases in the vicinity of clouds with 3D calculations using the Education and Research 3D Radiative Transfer Toolbox (EaR³T), EGUsphere [preprint], doi:10.5194/egusphere-2024-1936, 2024.

  • Software

    • Latest release

      Nataraja, V., Chen, Y-W, Hirata, K., Chen, H., and Schmidt, K. S.: hong-chen/er3t: er3t-v0.2.0 (v0.2.0), Zenodo [code], doi:10.5281/zenodo.4093737, 2025.

    • All the releases



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