3d-amvs
calculate atmospheric motion vectors from real water vapor data
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: wiley.com -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.0%) to scientific vocabulary
Last synced: 6 months ago
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Repository
calculate atmospheric motion vectors from real water vapor data
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 5 years ago
· Last pushed 11 months ago
Metadata Files
Readme
License
Citation
README.md
3D winds retrieval code associated with the following paper: Ouyed, A., Smith, N., Zeng, X., Galarneau Jr, T., Su, H., & Dixon, R. D. (2023). Global three‐dimensional water vapor feature‐tracking for horizontal winds using hyperspectral infrared sounder data from overlapped tracks of two satellites. Geophysical Research Letters, 50(7), e2022GL101830.
Owner
- Name: Amir
- Login: aouyed
- Kind: user
- Company: University of Arizona
- Repositories: 1
- Profile: https://github.com/aouyed
Physicist working in atmospheric science.
Citation (CITATION.cff)
GitHub Events
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- Push event: 3
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Last Year
- Watch event: 1
- Delete event: 1
- Push event: 3
- Create event: 1