joseki 2.6.1

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

Joseki

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

This package gathers together datasets of thermophysical properties of the Earth's atmosphere relevant for radiative transfer applications, and provides utilities to compute common characteristic quantities and perform operations such as interpolation and rescaling on a dataset.

Features

• Available profiles:
  • AFGL Atmospheric Constituent Profiles (0-120 km)
  • MIPAS (2007) reference atmospheres
  • U.S. Standard Atmosphere, 1976
• NetCDF support thanks to the xarray library
• Documented and standard dataset format based on the CF conventions
• Dataset schema validation
• Altitude interpolation/extrapolation and regularization
• Molecular concentration rescaling
• Molecules selection
• Computation of derived quantities
• Convenient units support thanks to the pint library
• Command-line interface
• Python API

Requirements

• Python 3.8+

Installation

You can install Joseki via pip from PyPI:

pip install joseki

or via conda from conda-forge:

conda install -c conda-forge joseki

Documentation

Visit https://rayference.github.io/joseki/latest.

Ikigai

Joseki was born in the context of the development of the Eradiate radiative transfer model, from the need to collect, document and trace, integrate and modify popular thermophysical profiles. As such, its features evolve in close relationship to those of Eradiate.

About

Joseki was created by Yvan Nollet and is maintained by Rayference.

Joseki is a component of the Eradiate radiative transfer model.

Joseki's logo is a simple representation (not to scale!) of the 5 layers of Earth's atmosphere (troposphere, stratosphere, mesosphere, thermosphere and exosphere).