{"id":22693377,"url":"https://github.com/atmtools/arts-lectures","last_synced_at":"2025-04-22T17:41:11.749Z","repository":{"id":47875661,"uuid":"165993743","full_name":"atmtools/arts-lectures","owner":"atmtools","description":"Provides a set of practical exercises using the radiative-transfer model ARTS","archived":false,"fork":false,"pushed_at":"2025-04-07T12:43:54.000Z","size":558891,"stargazers_count":8,"open_issues_count":0,"forks_count":9,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-07T13:37:33.605Z","etag":null,"topics":["atmospherice-science","education","radiative-transfer","science"],"latest_commit_sha":null,"homepage":"http://radiativetransfer.org/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/atmtools.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-01-16T07:21:22.000Z","updated_at":"2025-04-07T12:44:02.000Z","dependencies_parsed_at":"2023-11-16T14:27:51.938Z","dependency_job_id":"476f4381-6a8f-47c1-b075-6bc02d244faa","html_url":"https://github.com/atmtools/arts-lectures","commit_stats":{"total_commits":323,"total_committers":12,"mean_commits":"26.916666666666668","dds":0.736842105263158,"last_synced_commit":"066a11feea9bf4273a551c25e2e3038c00185a32"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/atmtools%2Farts-lectures","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/atmtools%2Farts-lectures/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/atmtools%2Farts-lectures/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/atmtools%2Farts-lectures/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/atmtools","download_url":"https://codeload.github.com/atmtools/arts-lectures/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250288935,"owners_count":21405882,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["atmospherice-science","education","radiative-transfer","science"],"created_at":"2024-12-10T02:10:21.711Z","updated_at":"2025-04-22T17:41:11.738Z","avatar_url":"https://github.com/atmtools.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Advanced Radiation and Remote Sensing\n\nA practical introduction to remote sensing using the\n_Atmospheric Radiative Transfer Simulator_ ([ARTS][arts]).\n\nThe exercises make use of the ARTS Python API.\n\nRequired ARTS version is release 2.6.14.\n\nARTS requires the Miniforge3 Python environment.\nInstallers can be downloaded from the [Miniforge Github project][conda] page.\nIf you are not familiar with the installation procedure of Miniforge, [this page provides good instructions][robotology].\n\nAfter you have installed Miniforge, ARTS can be installed with the following command:\n```\nmamba install -c rttools pyarts\n```\n\nIf you use Spyder, Visual Studio Code or any other IDE  to run the Python scripts, make sure to select the correct interpreter path (`~/miniforge3/bin/python`) in your IDE.\n\nNote that ARTS is only available for Linux and macOS. If you are on Windows or have trouble with the setup, students attending the course at Universität Hamburg can use the computers in the pool rooms or the [VDI system of CEN][vdi-cen] as a fallback solution:\n\nAfter logging in to a Linux virtual machine, running this command will provide a Miniforge environment with pyarts preinstalled:\n\n```\nsource /data/share/lehre/unix/rtcourse/activate.sh\n```\n\n[arts]: http://radiativetransfer.org/\n[vdi-cen]: https://www.cen.uni-hamburg.de/facilities/cen-it/vdi.html\n[conda]: https://github.com/conda-forge/miniforge#miniforge\n[robotology]: https://github.com/robotology/robotology-superbuild/blob/master/doc/install-miniforge.md\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatmtools%2Farts-lectures","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fatmtools%2Farts-lectures","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatmtools%2Farts-lectures/lists"}