Welcome to the Fast All-sky Radiation Model for Solar applications (FARMS)!
The Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute cloudy irradiance.
Installing farms
Option 1: Install from PyPI (recommended for analysts):
- Create a new environment:
conda create --name farms
- Activate the environment:
conda activate farms
- Install farms:
pip install NLR-farms
Option 2: Clone repo (recommended for developers)
- Create an environment and install package
Create a conda env: conda create -n farms
Run the command: conda activate farms
Clone the repository and cd into it.
prior to running pip below, make sure the branch is correct (install from master!)
Install farms and its dependencies by running: pip install . (or pip install -e . if running a dev branch or working on the source code)
Recommended Citation
Yu Xie, Manajit Sengupta, Jimy Dudhia, “A Fast All-sky Radiation Model for Solar applications (FARMS): Algorithm and performance evaluation”, Solar Energy, Volume 135, 2016, Pages 435-445, ISSN 0038-092X, https://doi.org/10.1016/j.solener.2016.06.003. Science Direct Link.
2 maintainers
Metadata
2 maintainers
Release files for NLR-farms 1.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nlr_farms-1.0.8.tar.gz | 43.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nlr_farms-1.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 64.0 kB
Release files / nlr_farms-1.0.8.tar.gz
| Download URL | nlr_farms-1.0.8.tar.gz |
|---|---|
| Size | 43.0 kB |
| Tags | Source |
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No |
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twine/6.2.0 CPython/3.11.14
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Release files / nlr_farms-1.0.8-py3-none-any.whl
| Download URL | nlr_farms-1.0.8-py3-none-any.whl |
|---|---|
| Size | 21.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
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