SASKTRAN2
A user-friendly atmospheric radiative transfer model from the University of Saskatchewan, redesigned for efficient hyperspectral calculations and full weighting function support.
https://github.com/usask-arg/sasktran2
Category: Atmosphere
Sub Category: Radiative Transfer
Keywords from Contributors
transform measurements optimizers archiving observability unitful routing parallel report mesh
Last synced: about 18 hours ago
JSON representation
Repository metadata
The next generation SASKTRAN radiative transfer model
- Host: GitHub
- URL: https://github.com/usask-arg/sasktran2
- Owner: usask-arg
- License: mit
- Created: 2023-06-30T14:06:30.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-12-15T15:52:36.000Z (28 days ago)
- Last Synced: 2025-12-20T14:59:22.748Z (23 days ago)
- Language: C++
- Size: 10.1 MB
- Stars: 5
- Watchers: 0
- Forks: 6
- Open Issues: 7
- Releases: 32
-
Metadata Files:
- Readme: README.md
- License: license.md
README.md
SASKTRAN
The SASKTRAN radiative transfer framework is a radiative transfer tool developed at the University of Saskatchewan. Originally designed for use with the OSIRIS instrument (https://research-groups.usask.ca/osiris/) it has since evolved to be applicable to a large variety of applications. SASKTRAN is a full framework and not just a radiative transfer model, as such it contains databases or interfaces to standard climatologies and species optical properties.
SASKTRAN2 is a full re-implementation of the original SASKTRAN framework with large computational efficiency
improvements, full linearizations of atmospheric input properties, and an improved Python interface.
Installation
The preferred method to install SASKTRAN2 is through the pre-compiled Conda package
conda install -c conda-forge sasktran2
these packages are made available for Python versions 3.10, 3.11, 3.12, 3.13 on Windows/Linux/Mac platforms.
For Mac, both x86_64 and Arm packages are available.
For Linux, arm/ppc are also supported.
Wheels are also built for the same platforms and can be installed through,
pip install sasktran2
SASKTRAN2 can also be built directly from source,
pip install .
When building from source it is required that a Blas/LAPACK implementation is findable by CMake.
Usage
Documentation can be found at https://sasktran2.readthedocs.io/
License
SASKTRAN2 is made available under the MIT license.
Acknowledgement
We request that users of the model contact the authors before publishing results using SASKTRAN, and that the following publications are acknowledged:
Zawada, D. J., Dueck, S. R., Rieger, L. A., Bourassa, A. E., Lloyd, N. D., and Degenstein, D. A.: High-resolution and Monte Carlo additions to the SASKTRAN radiative transfer model, Atmos. Meas. Tech., 8, 2609-2623, https://doi.org/10.5194/amt-8-2609-2015, 2015.
Bourassa, A. E., Degenstein, D. A., and Llewellyn, E. J.: SASKTRAN: A Spherical Geometry Radiative Transfer Code for Efficient Estimation of Limb Scattered Sunlight, J Quant Spectrosc Radiat Trans, Volume 109, Issue 1, 52-73, https://doi.org/10.1016/j.jqsrt.2007.07.007, 2008.
Owner metadata
- Name: usask-arg
- Login: usask-arg
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/138140024?v=4
- Repositories: 1
- Last ynced at: 2023-06-29T18:32:52.326Z
- Profile URL: https://github.com/usask-arg
GitHub Events
Total
- Create event: 47
- Issues event: 1
- Release event: 19
- Watch event: 4
- Delete event: 26
- Issue comment event: 14
- Push event: 84
- Pull request review event: 2
- Pull request review comment event: 4
- Gollum event: 1
- Pull request event: 161
Last Year
- Create event: 39
- Issues event: 1
- Release event: 16
- Watch event: 4
- Delete event: 20
- Issue comment event: 13
- Push event: 62
- Pull request event: 118
Committers metadata
Last synced: 3 days ago
Total Commits: 197
Total Committers: 8
Avg Commits per committer: 24.625
Development Distribution Score (DDS): 0.259
Commits in past year: 77
Committers in past year: 4
Avg Commits per committer in past year: 19.25
Development Distribution Score (DDS) in past year: 0.325
| Name | Commits | |
|---|---|---|
| Daniel Zawada | d****a@u****a | 146 |
| dependabot[bot] | 4****] | 31 |
| github-actions[bot] | 4****] | 7 |
| TaranWarnock | T****k | 5 |
| lukasfehr | f****s@g****m | 4 |
| cremai | 7****i | 2 |
| pre-commit-ci[bot] | 6****] | 1 |
| Adam Bourassa | 1****2 | 1 |
Committer domains:
- usask.ca: 1
Issue and Pull Request metadata
Last synced: 6 days ago
Total issues: 5
Total pull requests: 158
Average time to close issues: 6 months
Average time to close pull requests: 6 days
Total issue authors: 1
Total pull request authors: 8
Average comments per issue: 0.0
Average comments per pull request: 0.09
Merged pull request: 115
Bot issues: 0
Bot pull requests: 51
Past year issues: 0
Past year pull requests: 75
Past year average time to close issues: N/A
Past year average time to close pull requests: 3 days
Past year issue authors: 0
Past year pull request authors: 4
Past year average comments per issue: 0
Past year average comments per pull request: 0.05
Past year merged pull request: 54
Past year bot issues: 0
Past year bot pull requests: 28
Top Issue Authors
- dannyzed (5)
Top Pull Request Authors
- dannyzed (98)
- dependabot[bot] (42)
- github-actions[bot] (8)
- lukasfehr (4)
- cremai (2)
- TaranWarnock (2)
- rileysly (1)
- pre-commit-ci[bot] (1)
Top Issue Labels
- enhancement (2)
Top Pull Request Labels
- dependencies (42)
- github_actions (17)
- run-benchmark (8)
- stubs (8)
- build-perf-book (1)
Dependencies
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Score: 4.564348191467836