er3t 0.2.0

Education and Research 3D Radiative Transfer Toolbox

We are preparing for an upcoming release, so please anticipate frequent changes to the main branch.

EaR³T (pronounced /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 radiative transfer solvers. The automation capability covers not only the simulation of radiometric quantities such as radiance and irradiance, but also the downloading/processing of satellite data and the setup of atmospheric radiative properties, which are essential for an end-to-end simulation pipeline.

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).

Features

Radiative Transfer:

• solver: MCARaTS | SHDOM | libRadtran

• absorption: Correlated-k | REPTRAN

• clouds: Mie (water)

• surface: Ocean BRDF (Cox-Munk) | Land BRDF (LSRT)

Remote Sensing:

• downloader: Worldview | LAADS DAAC | GES DISC | LANCE

• reader: MODIS | VIIRS | OCO-2 | AHI | ABI

• simulator: ARISE | CAMP²Ex | ARCSIX

Resources

Source Code:

https://github.com/hong-chen/er3t/

• er3t/master (most stable)

• er3t/dev (most up-to-date)

• er3t/gh-pages (latest docs)

• Releases

Documentation:

https://er3t.readthedocs.io/

• How to install

• How to use

• How to cite

• How to contribute

• FAQ

Community Support:

Discord

• Installation-related

• Examples-related

• Satellite-related

• MCARaTS-related

• SHDOM-related

• libRadtran-related

• Discussion

Gallery

Multi-Angle (space view [land BRDF])	Sunrise to Sunset (space view [ocean BRDF])
Multi-Angle (ground view)	Sunrise to Sunset (ground view)