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Published December 5, 2024 | Version Version 1.0

Code files for "Climate feedbacks from North American boreal forest fires"

Description

Computer code as part of the publication in review:

"Climate warming and cooling feedbacks from North American boreal forest fires"

Max J. van Gerrevink1, Sander Veraverbeke1,2, Sol Cooperdock3, Stefano Potter3, Qirui Zhong1,4 Michael Moubarak5, Scott J. Goetz6, Michelle C. Mack7, James T. Randerson8, Nick Schutgens1, Merritt R. Turetsky9, Guido R. van der Werf10, and Brendan M. Rogers3

1Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

2School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom

3Woodwell Climate Research Center, Falmouth, MA, USA

4College of Urban and Environmental Sciences, Peking University, Beijing, China

5Hamilton College, Hamilton, NY, USA

6School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA

7Center for Ecosystem Science and Society and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA

8Department of Earth System Science, University of California, Irvine, CA, USA

9Renewable and Sustainable Energy Institute, Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA

10Meteorology & Air Quality Group, Wageningen University and Research, Wageningen, The Netherlands

 

Correspondence to: Max J. van Gerrevink (m.j.van.gerrevink@vu.nl)

 

Files contain the computer code used to compute the climate radiative forcing from fire.

The computer code is spilt into 7 different scripts:

  • Well-mixed greenhouse gasses, precursors, and aerosol radiative forcing : Radiative_forcing_GHG_precursors_aerosols_boxmodel.py
  • Mapping and uncertainty of Well-mixed greenhouse gasses, precursors, and aerosol radiative forcing : Radiative_forcing_GHG_precursors_aerosols_Mapping_and_uncertainty.py
  • Permafrost greenhouse gas emissions radiative forcing : Radiative_Forcing_Permafrost_GHG.py
  • Changes in surface albedo radiative forcing : Radiative_Forcing_Albedo_change.py
  • Uncertainty in surface albedo radiative forcing : Radiative_Forcing_Albedo_change_uncertainty.py
  • Vegetation recovery radiative forcing : Radiative_Forcing_vegetation_recovery.py
  • Uncertainty in vegetation recovery radiative forcing : Radiative_Forcing_vegetation_recovery_uncertainty.py

 

* The sensitivity analysis for Permafrost greenhouse gas emissions is included in the Radiative_Forcing_Permafrost_GHG.py script.

Additionally, input files for atmospheric concentrations and impulse response function data are included as CSV files. 

Files

ReadME.pdf

Files (321.5 kB)

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Additional details

Funding

European Commission
FireIce - Fire in the land of ice: Climatic drivers and feedbacks 101000987

Software

Programming language
Python