https://github.com/changliao1025/anusplin_pro
Generate gridded climate data for spatially distributed numerical simulations
Science Score: 33.0%
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
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○.zenodo.json file
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✓DOI references
Found 9 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
2 of 4 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary
Keywords
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Repository
Generate gridded climate data for spatially distributed numerical simulations
Basic Info
Statistics
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 5
- Releases: 0
Topics
Metadata Files
README.md
anusplin_pro
Anusplin_pro is a C++ program to run the Anusplin program in batch mode.
Anusplin is a suit of program which can be used to generate climate forcing data for climate change related numerical simulations. More information of these programs can be found here: https://fennerschool.anu.edu.au/research/products/anusplin
In order to generate time series of gridded climate data (temperature, precipitation, etc.) on a high performance computer, I developed this tool to prepare, setup and run Anusplin programs without user interference.
Applications of this tool have been used to generate climate data for three of my scientific publications.
Please consider the following citations if you plan to use this tool.
Chang Liao. (2020, July 5). A C++ program to generate grid-based climate data (Version 1.0.0). Zenodo. http://doi.org/10.5281/zenodo.3930590
Liao, C., & Zhuang, Q. (2017). Quantifying the role of snowmelt in stream discharge in an Alaskan watershed: An analysis using a spatially distributed surface hydrology model.Journal of Geophysical Research: Earth Surface, 122, 2183– 2195. https://doi.org/10.1002/2017JF004214
Chang Liao, Qianlai Zhuang (2017). Quantifying the Role of Permafrost Distribution in Groundwater and Surface Water Interactions Using a Three-Dimensional Hydrological Model. Arctic, Antarctic, and Alpine Research: February 2017, Vol. 49, No. 1, pp. 81-100. https://doi.org/10.1657/AAAR0016-022.
Liao, C., Zhuang, Q., Leung, L. R., & Guo, L. (2019). Quantifying dissolved organic carbon dynamics using a three‐dimensional terrestrial ecosystem model at high spatial‐temporal resolutions. Journal of Advances in Modeling Earth Systems, 11. https://doi.org/10.1029/2019MS001792
Owner
- Name: Chang Liao
- Login: changliao1025
- Kind: user
- Location: Richland, WA
- Company: Pacific Northwest National Laboratory
- Website: https://changliao.github.io/
- Twitter: changliao1025
- Repositories: 8
- Profile: https://github.com/changliao1025
工欲善其事，必先利其器。
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Chang Liao | 2****5 | 7 |
| changliao1025 | c****5@g****m | 5 |
| Chang Liao | l****6@p****u | 1 |
| Chang Liao | l****6@r****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 5
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 2
- Total pull request authors: 0
- Average comments per issue: 0.6
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- changliao1025 (4)
- andrewsoong (1)