https://github.com/doi-usgs/lake-temperature-lstm-static
Predict lake temperatures at depth using static lake attributes
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
3 of 5 committers (60.0%) from academic institutions -
✓Institutional organization owner
Organization doi-usgs has institutional domain (www.usgs.gov) -
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.2%) to scientific vocabulary
Repository
Predict lake temperatures at depth using static lake attributes
Basic Info
- Host: GitHub
- Owner: DOI-USGS
- License: other
- Language: HTML
- Default Branch: main
- Size: 386 KB
Statistics
- Stars: 0
- Watchers: 9
- Forks: 3
- Open Issues: 9
- Releases: 0
Metadata Files
README.md
lake-temperature-lstm-static
Predict lake temperatures at multiple depths using an LSTM trained to make use of static lake attributes.
Installing
Create a new conda environment by running
conda update -n base conda
conda env create -f environment.yaml
conda activate ltls
Note: if Mamba is available, the environment may be created significantly faster by running
mamba update -n base mamba
mamba env create -f environment.yaml
conda activate ltls
Downloading input data
For now, MNTOHA data are being used. A more complete set of lakes will be incorporated in the future, but MNTOHA lake data are readily available to download from ScienceBase. To download temperature observations, meteorological drivers, and metadata, run
snakemake -c1 -p fetch_all
Replace the 1 in -c1 with the number of cores to execute jobs in parallel.
The data will be downloaded to the 1_fetch/out folder.
If the download is interrupted, resume it and overwrite partially downloaded files by running
snakemake -c1 -p --rerun-incomplete fetch_all
To trigger a fresh download, change the date in 1fetch/in/pulldate.txt to today's date and then call snakemake as above.
Licenses
This work makes use of code available at https://github.com/kratzert/ealstmregionalmodeling. That code permits such use under the Apache-2.0 License. See https://opensource.org/licenses/Apache-2.0
Owner
- Name: U.S. Geological Survey
- Login: DOI-USGS
- Kind: organization
- Email: gs_help_git@usgs.gov
- Location: United States of America
- Website: https://www.usgs.gov/
- Twitter: USGS
- Repositories: 59
- Profile: https://github.com/DOI-USGS
By integrating our diverse scientific expertise, we understand complex natural science phenomena and provide scientific products that lead to solutions.
GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Andy McAliley | w****y@u****v | 237 |
| Andy McAliley | A****y | 8 |
| jsadler2 | j****r@u****v | 2 |
| Julie Padilla | p****0@g****m | 1 |
| Jesse Ross | j****s@u****v | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 27
- Total pull requests: 27
- Average time to close issues: about 1 month
- Average time to close pull requests: 8 days
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 1.37
- Average comments per pull request: 0.93
- Merged pull requests: 27
- 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
- AndyMcAliley (26)
- jpadilla-usgs (1)
Pull Request Authors
- AndyMcAliley (26)
- jesse-ross (1)