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PyESD
Downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets to point scale.
https://github.com/Dan-Boat/PyESD
deep-learning downscaling ensemble-machine-learning machine-learning precipitation sckit-learn tensorflow2
Last synced: about 7 hours ago
JSON representation
Repository metadata
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
- Host: GitHub
- URL: https://github.com/Dan-Boat/PyESD
- Owner: Dan-Boat
- License: mit
- Created: 2021-11-14T17:48:58.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-14T17:31:07.000Z (3 months ago)
- Last Synced: 2023-09-23T06:28:23.121Z (3 months ago)
- Topics: deep-learning, downscaling, ensemble-machine-learning, machine-learning, precipitation, sckit-learn, tensorflow2
- Language: Python
- Homepage: https://dan-boat.github.io/PyESD/
- Size: 60.2 MB
- Stars: 24
- Watchers: 4
- Forks: 3
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Changelog: HISTORY.rst
- License: LICENSE
Owner metadata
- Name: Daniel Boateng
- Login: Dan-Boat
- Email:
- Kind: user
- Description: Research Fellow | PhD Student Palaeoclimate Modelling and Climate Dynamics
- Website:
- Location: Tübingen, Germany
- Twitter:
- Company: University of Tübingen
- Icon url: https://avatars.githubusercontent.com/u/66922079?u=363f35226b6b785eb1a13187992b38ca99e98fd9&v=4
- Repositories: 6
- Last ynced at: 2023-03-28T23:30:33.561Z
- Profile URL: https://github.com/Dan-Boat
GitHub Events
Total
- Create event: 8
- Release event: 1
- Issues event: 4
- Watch event: 32
- Issue comment event: 6
- Push event: 128
- Fork event: 3
Last Year
- Create event: 3
- Fork event: 3
- Issue comment event: 6
- Issues event: 4
- Push event: 56
- Release event: 1
- Watch event: 24
Committers metadata
Last synced: about 7 hours ago
Total Commits: 158
Total Committers: 2
Avg Commits per committer: 79.0
Development Distribution Score (DDS): 0.07
Commits in past year: 54
Committers in past year: 1
Avg Commits per committer in past year: 54.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Dan-Boat | d****g@g****m | 147 |
| Daniel Boateng | 6****t | 11 |
Committer domains:
Issue and Pull Request metadata
Last synced: 5 days ago
Total issues: 2
Total pull requests: 0
Average time to close issues: 3 months
Average time to close pull requests: N/A
Total issue authors: 1
Total pull request authors: 0
Average comments per issue: 3.5
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: 3 months
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 3.5
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- gkb999 (2)
Top Pull Request Authors
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 45 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: pyesd
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
- Homepage: https://github.com/Dan-Boat/PyESD
- Documentation: https://pyesd.readthedocs.io/
- Licenses: MIT license
- Latest release: 1.0.7 (published 5 months ago)
- Last Synced: 2023-12-05T02:04:34.444Z (5 days ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 45 Last month
-
Rankings:
- Dependent packages count: 6.633%
- Stargazers count: 18.624%
- Average: 21.59%
- Forks count: 30.492%
- Dependent repos count: 30.611%
- Maintainers (2)
Dependencies
- Cartopy *
- eofs *
- keras *
- mpi4py *
- numpy *
- pandas *
- scipy *
- seaborn *
- sklearn *
- statsmodels *
- tensorflow *
- xarray *
- Keras-Preprocessing >=1.1.2
- cftime >=1.6.0
- eofs >=1.4.0
- geopandas ==0.12.1
- keras >=2.8.0
- numpy >=1.19.5
- pandas >=1.3.4
- scikit-image >=0.18.3
- scikit-learn >=1.1.1
- scikit-learn-intelex >=2021.20210714.120553
- scikit-optimize >=0.9.0
- scipy >=1.7.1
- seaborn >=0.11.2
- setuptools >=67.6.0
- tensorflow >=2.8.0
- twine >=4.0.2
- xarray >=2022.3.0
- xgboost >=1.5.2
- Sphinx * development
- Sphinx-rtd-theme * development
- bump2version * development
- coverage * development
- flake8 * development
- grip * development
- h5netcdf * development
- importlib-metadata >=4.4 development
- matplotlib * development
- netCDF4 * development
- packaging >=21.3 development
- pip * development
- pydocstyle * development
- pytest * development
- pytest-cov * development
- pytest-runner * development
- setuptools * development
- tox * development
- twine * development
- watchdog * development
- wheel * development
Score: 7.740664401917241