https://github.com/atmtools/arts-lectures

Provides a set of practical exercises using the radiative-transfer model ARTS
https://github.com/atmtools/arts-lectures

atmospherice-science education radiative-transfer science

Last synced: about 3 hours ago
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Provides a set of practical exercises using the radiative-transfer model ARTS

• Host: GitHub
• URL: https://github.com/atmtools/arts-lectures
• Owner: atmtools
• Created: 2019-01-16T07:21:22.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2024-10-07T13:32:18.000Z (4 months ago)
• Last Synced: 2024-12-10T02:10:18.715Z (about 2 months ago)
• Topics: atmospherice-science, education, radiative-transfer, science
• Language: TeX
• Homepage: http://radiativetransfer.org/
• Size: 534 MB
• Stars: 7
• Watchers: 3
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Advanced Radiation and Remote Sensing

A practical introduction to remote sensing using the

_Atmospheric Radiative Transfer Simulator_ ([ARTS][arts]).

The exercises make use of the ARTS Python API.

Required ARTS version is pre-release 2.5.8

Matching catalogs are [available here][cats].

The `environment.yml` file can be used to setup a [conda environment][conda]

with all necessary packages including PyARTS:

```

mamba env create -f environment.yml

mamba activate arts-lectures

jupyter-lab exercises

```

Students attending the course at Universität Hamburg use the [VDI system of CEN][vdi-cen].

[arts]: http://radiativetransfer.org/

[vdi-cen]: https://www.cen.uni-hamburg.de/facilities/cen-it/vdi.html

[typhon-github]: https://github.com/atmtools/typhon/

[cats]: https://www.radiativetransfer.org/misc/download/unstable/

[conda]: https://github.com/conda-forge/miniforge