Metadata-Version: 2.1
Name: joseki
Version: 2.6.0
Summary: Reference atmospheric thermophysical profiles for radiative transfer applications in Earth's atmosphere.
License: LGPLv3
Author-email: Yvan Nollet <yvan.nollet@rayference.eu>,Vincent Leroy <vincent.leroy@rayference.eu>
Requires-Python: >=3.8
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Project-URL: Changelog, https://github.com/rayference/joseki/blob/main/docs/changelog.md
Project-URL: homepage, https://github.com/rayference/joseki
Project-URL: issues, https://github.com/rayference/joseki/issues
Project-URL: repository, https://github.com/rayference/joseki
Description-Content-Type: text/markdown

<p align="center">
<img align="center" alt="Joseki logo" src="logo.svg"  width=100 style="margin-right: 10px; border-radius: 20%"/>
</p>

# Joseki

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

[![License: LGPLv3](https://img.shields.io/badge/License-LGPLv3-yellow.svg)](https://opensource.org/license/lgpl-3-0/)
[![pdm-managed](https://img.shields.io/badge/pdm-managed-blueviolet)](https://pdm.fming.dev)
[![code-style-black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![PyPI](https://img.shields.io/pypi/v/joseki)](https://pypi.python.org/pypi/joseki/)
[![Conda](https://img.shields.io/conda/vn/conda-forge/joseki)](https://anaconda.org/conda-forge/joseki)

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](https://xarray.pydata.org) library
* Documented and standard dataset format based on the
  [CF conventions](https://cfconventions.org)
* Dataset schema validation
* Altitude interpolation/extrapolation and regularization
* Molecular concentration rescaling
* Molecules selection
* Computation of derived quantities
* Convenient units support thanks to the [pint](https://pint.readthedocs.io)
  library
* Command-line interface
* Python API

## Requirements

* Python 3.8+

## Installation

You can install *Joseki* via [`pip`](https://pip.pypa.io/en/stable/) from
[`PyPI`](https://pypi.org/):

```shell
pip install joseki
```

or via [`conda`](https://docs.conda.io) from
[`conda-forge`](https://conda-forge.org):

```shell
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](https://github.com/eradiate/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](https://github.com/nollety) and is maintained by [Rayference](https://www.rayference.eu).

Joseki is a component of the [Eradiate radiative transfer model](https://www.eradiate.eu/site/).

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

