smrt
Snow Microwave Radiative Transfer model to compute thermal emission and backscatter from snowpack
Science Score: 36.0%
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○CITATION.cff file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
5 of 14 committers (35.7%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (12.7%) to scientific vocabulary
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Repository
Snow Microwave Radiative Transfer model to compute thermal emission and backscatter from snowpack
Basic Info
Statistics
- Stars: 61
- Watchers: 19
- Forks: 25
- Open Issues: 11
- Releases: 12
Topics
Metadata Files
README.md
Snow Microwave Radiative Transfer model
SMRT is a radiative transfer model to compute emission and backscatter from snowpack.
Getting started is easy, follow the instructions and explore the other repositories with examples in the 'smrt-model' github organization or read the detailed 'documentation'.
If you want to try without installing anything on your computer, use free mybinder.org notenooks: .
If you want to try SMRT without coding, use SMRT-App.
You can also explore the documentation and find code examples via the AI Wiki. Please let us know your experience of using this via discussions.
Quick Installation
To install the latest stable release:
console
pip install smrt
Alternatively, the latest developments are available using:
console
pip install git+https://github.com/smrt-model/smrt.git
or by 'manual installation'.
A simple example
An example to calculate the brightness temperature from a one-layer snowpack.
```python
from smrt import makesnowpack, sensorlist, make_model
create a snowpack
snowpack = makesnowpack(thickness=[10.], # snowpack depth in m microstructuremodel="stickyhardspheres", density=320.0, # density in kg/m3 temperature=260, # temperature in Kelvin radius=100e-6) # scatterers raidus in m
create the sensor (AMSRE, channel 37 GHz vertical polarization)
radiometer = sensor_list.amsre('37V')
create the model including the scattering model (IBA) and the radiative transfer solver (DORT)
m = make_model("iba", "dort")
run the model
result = m.run(radiometer, snowpack)
print(result.TbV())
```
License information
See the file LICENSE.txt for terms & conditions for usage, and a DISCLAIMER OF ALL
WARRANTIES.
DISCLAIMER: This version of SMRT is under peer review. Please use this software with caution, ask for assistance if needed, and let us know any feedback you may have.
Copyright (c) 2016-2025 Ghislain Picard, Melody Sandells, Henning Löwe.
Other contributions
- Nina Maass: initial implementation of the sea-ice functions
- Ludovic Brucker: initial implementation of the saline snow functions
- Mai Winstrup: initial implementation of the sea-ice functions
- Marion Leduc-Leballeur: test&debuging (snow and ice)
- Carlo Marin: debuging of the wet permittivities.
- Fanny Larue: debuging (LRM altimetry)
- Justin Murfitt: debuging (lake-ice, LRM altimetry)
- Julien Meloche: debuging (snow). Help to user
- Janna Rücker: implementation of new sea-ice functions
- Jacqueline Boutin: implementation of new sea-ice permittivity functions
Owner
- Name: smrt-model
- Login: smrt-model
- Kind: organization
- Repositories: 9
- Profile: https://github.com/smrt-model
GitHub Events
Total
- Create event: 12
- Release event: 3
- Issues event: 4
- Watch event: 10
- Delete event: 5
- Member event: 1
- Issue comment event: 21
- Push event: 95
- Pull request review event: 10
- Pull request review comment event: 17
- Pull request event: 30
- Fork event: 6
Last Year
- Create event: 12
- Release event: 3
- Issues event: 4
- Watch event: 10
- Delete event: 5
- Member event: 1
- Issue comment event: 21
- Push event: 95
- Pull request review event: 10
- Pull request review comment event: 17
- Pull request event: 30
- Fork event: 6
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Ghislain Picard | g****d@u****r | 655 |
| Hippolyte Signargout | h****t@u****r | 56 |
| mjsandells | m****s@c****k | 41 |
| NinaMaass | n****s@u****e | 24 |
| JulienMeloche | j****e@u****a | 14 |
| Mai Winstrup | m****i@d****k | 5 |
| carlomarin | c****i@g****m | 5 |
| Ghislain Picard | g****h@u****r | 4 |
| Janna | 9****r | 3 |
| Ben | 5****n | 1 |
| Robbie *ice-floe* Mallett | 4****t | 1 |
| dependabot[bot] | 4****] | 1 |
| linazsche | l****n@g****e | 1 |
| Mel Sandells | m****s@r****k | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 23
- Total pull requests: 53
- Average time to close issues: 10 months
- Average time to close pull requests: 8 days
- Total issue authors: 15
- Total pull request authors: 11
- Average comments per issue: 1.74
- Average comments per pull request: 0.43
- Merged pull requests: 37
- Bot issues: 0
- Bot pull requests: 2
Past Year
- Issues: 4
- Pull requests: 34
- Average time to close issues: 3 months
- Average time to close pull requests: 11 days
- Issue authors: 3
- Pull request authors: 5
- Average comments per issue: 1.0
- Average comments per pull request: 0.44
- Merged pull requests: 23
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- pikaqiu2002 (5)
- cryptomare (2)
- JulienMeloche (2)
- robbiemallett (2)
- carlettif (2)
- zz246 (1)
- easihene (1)
- ECCCBen (1)
- Anthony-MostlyHarmless (1)
- mjsandells (1)
- ghislainp (1)
- ferranhema (1)
- HeWhoLikesWaffles (1)
- bigleaffrog (1)
- carlomarin (1)
Pull Request Authors
- JulienMeloche (17)
- hsignarg (14)
- jannapolar (8)
- carlomarin (5)
- dependabot[bot] (2)
- maiwinstrup (2)
- hexxawax (1)
- mjsandells (1)
- robbiemallett (1)
- linazsche (1)
- ECCCBen (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
proxy.golang.org: github.com/smrt-model/smrt
- Documentation: https://pkg.go.dev/github.com/smrt-model/smrt#section-documentation
- License: other
-
Latest release: v1.5.1
published 11 months ago
Rankings
Dependencies
- matplotlib *
- numpy *
- pandas *
- scipy *
- xarray *
- Sphinx >=1.6
- importlib *
- karma_sphinx_theme *
- matplotlib *
- numpy *
- oct2py *
- pandas *
- pytest *
- scipy *
- six *
- uuid *
- xarray *
- nosetest develop
- numba >=0.40
- numpy >=1.13
- pandas >=0.20.3
- python >=3.6
- scipy >=1.0.0
- xarray >=0.10.3
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/checkout v4 composite
- actions/download-artifact v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- pypa/gh-action-pypi-publish release/v1 composite