Python version of the FluxCompensator described in Koepferl & Robitaille (ApJ, 2017)
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Updated
May 31, 2018 - Python
Python version of the FluxCompensator described in Koepferl & Robitaille (ApJ, 2017)
This is a basic python interface to CRTM v2.3.0.
📡 Python bindings for Remote Sensing Models
Repack and compress line-transition data
Train and use neural networks to quickly approximate polarized synchrotron radiative transfer coefficients
A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets and Benchmarks Track)
Fast tool for 1D Non-LTE stellar parameter determination via Equivalent Width method
Radiative transfer and synthetic radio imaging of ionised jets from young forming stars
U.S. Standard Atmosphere 1976
A Python interface to the 6S Radiative Transfer Model
Python interface to C2Ray, with GPU-acceleration
This repository includes the training and testing of the Neural Network model proposed in the article titled "Quantification of Shortwave Surface Albedo Feedback using a Neural Network Approach".
Simulate SEVIRI satellite channels from WRF output
Implicit Monte Carlo radiation transport a la Fleck and Cummings 1971
Generating Leaf Area Index Data For Super-Resolution
A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data
Reference atmospheric thermophysical properties for radiative transfer applications in Earth's atmosphere.
Tools for modelling exoplanet spectra
pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.
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