ARIS_lite

ARIS models plant growth based on environmental parameter.

🌱 state

Integral parts are being developed. At this stage you have to expect refactoring!

🪛 usage

1. python water_budget.py -m snow 2019 2020 2021 2022 2023
2. python phenology.py
3. python water_budget.py -m soil
4. python yield_expectation.py

✨ features

• calculate water up-take coefficients ("Kc factors") for Winter Wheat, Spring Barley, Maize, and Grassland based on the daily air surface temperature
• calculate soil water content and evapotranspiration
• compute daily crop-specific stress index based on maximum surface air temperature and soil water saturation
• estimate yield expectations based on stress index

🚀 coming soon

• consistent observable names with ECMWF climate scenario data
• paths and observable names will be modifiable via a config file
• pipelines and tutorials will be extended

🔗 dependencies

• view the environment.yml
• meteorological data
• soil water capacity data

🐛 known issues

• hard-coded observable names, e.g. "max_air_temp"

💸 funding

The implementation of ARIS_lite in Python, this repository, is funded by the Austrian Research Promotion Agency (FFG, www.ffg.at) as part of CropShift.