Atmospheric Modelling Python Packages

pypartmc

Python (and C++) interface to PartMC with Jupyter/Python, Julia and Matlab examples

76K 31 16

sharplib

Sounding and Hodograph Analysis and Research Program (SHARP) C++ library for conducting analysis of atmospheric sounding profiles.

18K 29 4

itur

A python implementation of the ITU-R P. Recommendations for atmospheric attenuation modeling

17K 163 170

pysdm

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

8K 86 53

pympdata

Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia, Rust and Matlab

7K 33 25

pysdm-examples

PySDM usage examples reproducing results from literature and depicting how to use PySDM from Python Jupyter notebooks

6K 86 53

climt

The official home of climt, a Python based climate modelling toolkit.

3K 179 45

pythonicdisort

Discrete Ordinates Solver for the (1D) Radiative Transfer Equation in a single or multi-layer atmosphere.

3K 33 10

pympdata-examples

Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia, Rust and Matlab

2K 33 25

aeolus

Analysis and visualisation of atmospheric model output powered by iris.

2K 19 5

pycham

PyCHAM: CHemistry with Aerosol Microphysics in Python

1K 60 19

joseki

Reference atmospheric thermophysical properties for radiative transfer applications in Earth's atmosphere.

779 11 2

maria

Simulation tools for ground-based millimeter and sub-millimeter wave observatories.

677 11 8

pyrtlib

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.

628 20 6

geoschem-gcpy

No description available

604 56 27

telescopeml

Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra

530 14 18

speedyfit

Python package to fit single and binary photometric SEDs. Automatically pull archive photometry from the main surveys and use Bayesian inference to derive atmospheric parameters.

396 18 6