Paper codes and plot data for "Global ecosystem responses to flash droughts are modulated by background climate and vegetation conditions", Communications Earth & Environment (2024): 10.1038/s43247-024-01247-4.
- See https://github.com/osungmin/FlashDrought.git for identification of flash drought events
- Conda environment can be created from fd_ecosystem.yml
$ conda env create -f fd_ecosystem.yml
- Python scripts to prepare plot data: /prep_scripts (Python v3)
- Input data in netcdf needs to be ready; soil moisture and eco variables at 0.25 deg, pentad resolutions.
- ERA5 soil moisture: https://cds.climate.copernicus.eu/
- MODIS LAI: https://lpdaac.usgs.gov/products/mod15a2hv006/
- FLUXCOM GPP: https://www.fluxcom.org
- GOSIF SIF: https://globalecology.unh.edu/data/GOSIF.html
- prep_anom.py: to prepare anomalies of the considered variables.
- extract_vars.py: to extract the anomalies at the days of flash drought events.
- Python scripts to create paper figures: /paper_scripts (Python v3)
- fig1.py, fig2.py, and fig3.py: python codes for the main figures.
- rawdata.zip; example raw research data containing the list of soil moisture and LAI anomalies during flash droughts.
- pltdats.zip; processed data for the main manuscript figures. ! unzip the data into the same directory where the python scripts are located