Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
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Updated
Dec 16, 2025 - Python
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
Python interface to the RTE+RRTMGP Fortran software package
Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia, Rust and Matlab
Repository for "Adversarial sampling of unknown and high-dimensional conditional distributions" Hassanaly et al.
Processing emissions: from any inventory to any model
Simple International Standard Atmosphere calculator
Analysis and visualisation of atmospheric model output powered by iris.
Production code the Fast Implementation of the Gaussian Puff Forward Atmospheric Model
Machine learning for atmospheric delay correction in geodesy: An advanced troposphere delay model based on Gaussian mixed long short-term memory network
Simulation tools for ground-based millimeter and sub-millimeter wave observatories.
PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac
Reference atmospheric thermophysical properties for radiative transfer applications in Earth's atmosphere.
A python implementation of the ITU-R P. Recommendations for atmospheric attenuation modeling
Compute forecasted atmospheric opacity for EHT observations from the NCEP GFS forecast
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.
This is the source code to post-process model outputs and perform the analyses as published in Adams, Colose, Merrelli, Turnbull, & Kane (2024).
LOWTRAN atmospheric absorption extinction, scatter and irradiance model--in Python and Matlab
🧮 NCU-AP3021-2023-Fall-Numerical Analysis Notes
Python parser for ADSO/bin files.
Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra
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