https://github.com/bioatmosphere/hybioml
Hybrid Biosphere ModeL
Science Score: 13.0%
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
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○DOI references
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○Academic publication links
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○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 (6.6%) to scientific vocabulary
Repository
Hybrid Biosphere ModeL
Basic Info
- Host: GitHub
- Owner: bioatmosphere
- Language: Python
- Default Branch: main
- Size: 0 Bytes
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
readme.md
HyBioML: Hybrid Biosphere ModeL
Table of Contents
Environment Configuration
- scikit-learn: v0.22.1 (later versions will throw out warnings)
- netCDF4: v1.5.6
- mpi4py: v3.0.3 (with gcc/6.3.0 and openmpi/3.0.0)
Directory Structure
forcing_data
Site-level forcing including:
- US-MoT_forcing.nc4: Morton Arboretum
- US-MOz_forcing.nc4: MOFLUX site
- US-Ho1_forcing.nc4: Howland Forest flux site
- US-SPR_forcing.nc4: SPRUCE
surfdata
...
Installation
To set up the environment, follow these steps:
Clone the repository:
sh git clone https://github.com/yourusername/HyBioML.git cd HyBioMLCreate a virtual environment and activate it:
sh python3 -m venv venv source venv/bin/activateInstall the required packages:
sh pip install -r requirements.txt
Usage
To run the model, use the following command: ```sh python run_model.py --config config.yaml
Owner
- Name: Bin Wang
- Login: bioatmosphere
- Kind: user
- Location: Oak Ridge
- Website: https://bwangecology.wordpress.com/
- Twitter: bioatmo_sphere
- Repositories: 4
- Profile: https://github.com/bioatmosphere
Studying biosphere-atmosphere interactions with interwoven theory- and data-driven approaches
GitHub Events
Total
- Push event: 4
- Create event: 2
Last Year
- Push event: 4
- Create event: 2