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smrt

Snow Microwave Radiative Transfer model to compute thermal emission and backscatter from snowpack.
https://github.com/smrt-model/smrt

Category: Cryosphere
Sub Category: Snow and Permafrost

Keywords

microwave modeling snow

Keywords from Contributors

archiving transforms measur generic optimize observation compose conversion projection animals

Last synced: about 16 hours ago
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Repository metadata

Snow Microwave Radiative Transfert model to compute thermal emission and backscatter from snowpack

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: Binder.

If you want to try SMRT without coding, use SMRT-App.

Quick Installation

To install the latest stable release:

pip install smrt

Alternatively, the latest developments are available using:

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.


from smrt import make_snowpack, sensor_list, make_model

# create a snowpack
snowpack = make_snowpack(thickness=10.,   # snowpack depth in m
                         microstructure_model="sticky_hard_spheres",
                         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) 2016-2022 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 metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 7 days ago

Total Commits: 681
Total Committers: 12
Avg Commits per committer: 56.75
Development Distribution Score (DDS): 0.128

Commits in past year: 70
Committers in past year: 5
Avg Commits per committer in past year: 14.0
Development Distribution Score (DDS) in past year: 0.086

Name Email Commits
Ghislain Picard g****d@u****r 594
mjsandells m****s@c****k 39
NinaMaass n****s@u****e 24
Mai Winstrup m****i@d****k 5
carlomarin c****i@g****m 5
Julien Meloche 4****e 5
Ghislain Picard g****h@u****r 4
Ben 5****n 1
Janna 9****r 1
Robbie *ice-floe* Mallett 4****t 1
dependabot[bot] 4****] 1
Mel Sandells m****s@r****k 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 24
Total pull requests: 20
Average time to close issues: 9 months
Average time to close pull requests: 3 days
Total issue authors: 14
Total pull request authors: 8
Average comments per issue: 2.42
Average comments per pull request: 0.4
Merged pull request: 14
Bot issues: 0
Bot pull requests: 1

Past year issues: 10
Past year pull requests: 8
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 1 day
Past year issue authors: 5
Past year pull request authors: 4
Past year average comments per issue: 2.4
Past year average comments per pull request: 0.25
Past year merged pull request: 6
Past year bot issues: 0
Past year bot pull requests: 1

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/smrt-model/smrt

Top Issue Authors

  • pikaqiu2002 (6)
  • cryptomare (2)
  • JulienMeloche (2)
  • bigleaffrog (2)
  • robbiemallett (2)
  • carlettif (2)
  • easihene (1)
  • ECCCBen (1)
  • Anthony-MostlyHarmless (1)
  • mjsandells (1)
  • ghislainp (1)
  • ferranhema (1)
  • HeWhoLikesWaffles (1)
  • carlomarin (1)

Top Pull Request Authors

  • JulienMeloche (7)
  • carlomarin (5)
  • jannapolar (2)
  • maiwinstrup (2)
  • mjsandells (1)
  • dependabot[bot] (1)
  • ECCCBen (1)
  • robbiemallett (1)

Top Issue Labels

Top Pull Request Labels

  • dependencies (1)

Dependencies

binder/requirements.txt pypi
  • matplotlib *
  • numpy *
  • pandas *
  • scipy *
  • xarray *
doc/rtd_requirements.txt pypi
  • Sphinx >=1.6
  • importlib *
  • karma_sphinx_theme *
  • matplotlib *
  • numpy *
  • oct2py *
  • pandas *
  • pytest *
  • scipy *
  • six *
  • uuid *
  • xarray *
pyproject.toml pypi
  • nosetest develop
  • numba >=0.40
  • numpy >=1.13
  • pandas >=0.20.3
  • python >=3.6
  • scipy >=1.0.0
  • xarray >=0.10.3
.github/workflows/pytest.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
setup.py pypi
.github/workflows/publish.yml actions
  • 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

Score: 6.628041376179533