Lee de Mora & Giovanni Galli
Environmental stressors are stressors directly related to climate change: ie warming, deoxygenation, acidification.
The 5 stressors that can be generated by this code are:
-
Average warming + deoxygenation (AGI)
-
Marine heat waves
-
hypoxia / anoxia
-
acidification
-
A multi-stressor index.
- Clone from github (pml only right now)
git clone git@github.com:pmlmodelling/neccton_cc_indices.git
- Create and activate conda environment:
conda env create --name neccton --file=environment.yml
conda activate neccton
- Install this package in editable and loadable format:
pip install -e .
- Test installation:
python
import necctontools
Then use interactive tab-complete to test whether necctontools has loaded correctly.
- AGI
./AGI_run.sh
The AGI parameters are calculated run with:
mkdir shelves AGI_params
python AGI/AGI_calc_params.py -y yamls/AMM7-RECICLE-BGC-IPSL-CM5A-MR.yaml
Once that has completed, it will write the new parameters to the AGI_params directory.
This assumes you have the aquamaps datasets on hand, and accesss to WOA23 data.
Based on Clarke et al. 2021 and Moree et al. 2023.