pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.

PyRTlib is an attractive educational software to simulate observations from ground-based, airborne, and satellite microwave sensors. It provides a flexible and user-friendly tool to broadly simulate how electromagnetic radiation travels through the atmosphere as it interacts with atmospheric constituents.

Fast tool for 1D Non-LTE stellar parameter determination via Equivalent Width method

A Python-backend for radiative transfer model inversion for crop trait retrieval

This is a read-only mirror of https://gitlab.com/pytools4dart/pytools4dart.

This python notebook reformats a series of Hydrolight-generated m-files (radiative transfer outputs) into hdf5 files. This enables easier access to data for investigators, who can work with structured variables inside the hdf5 files rather than unweildy ascii files, which are difficult to utilize on a large scale. See GitHub readme for more deta…

Quantifying accuracy drawbacks across various 1d and 0d methods of modelling large-scale Earth systems and interpreting results through the lens of spectroscopy, radiative transfer and thermodynamics.

Atmospheric temperature profile generated by a highly simplified radiative transfer model. It calculates the temperature at a range of points (initially three) from the Earth's surface to the top of the atmosphere. The input parameters are the percentage of planetary cloud cover, the emissitivity/absorptivity of the two atmospheric layer

A code for exoplanet atmospheres but also an organizational structure for doing science in code.

Radiative transfer and synthetic radio imaging of ionised jets from young forming stars