Automated Plume detection and Emission estimation algorithm (APE)

Goudar, M., Anema, J. C. S., Kumar, R., Borsdorff, T., and Landgraf, J.: Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1, Geosci. Model Dev., 16, 4835–4852, https://doi.org/10.5194/gmd-16-4835-2023, 2023.

What is this repository for?

• To compute Carbon Monoxide (CO) emissions for fires/industrial sources.
• It integrates four freely available data sources, VIIRS active fire dataset, TROPOMI CO dataset, injection height from GFAS and ERA5 meteorological data.
  • TROPOMI CO dataset: ftp://ftp.sron.nl/open-access-data-2/TROPOMI/tropomi/co/
  • VIIRS active fire dataset: https://firms.modaps.eosdis.nasa.gov/active_fire/
  • GFAS: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-fire-emissions-gfas
  • ERA5: https://apps.ecmwf.int/data-catalogues/era5
• Can also be used to identify fires by integrating VIIRS active fire dataset and TROPOMI CO dataset

Documentation

• Detail documentation will be made available with time in docs.

Installation

• At present, copy the code (src/ape) and example files to a folder.
  • Use cython to compile functions.pyx using setup.py
  • python setup.py build_ext --inplace
    • Move functions.**.so to APE/functions.so
  • Examples can be found in examples folder.
  • Runs on python 3.12
• requirements.txt covers all required packages to run the code.

Contact

• Manu Goudar: [email protected]