Code files for "Climate feedbacks from North American boreal forest fires"
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1.
Vrije Universiteit Amsterdam
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2.
University of East Anglia, School of Environmental Sciences
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3.
Woodwell Climate Research Center
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4.
Peking University
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5.
Hamilton College
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6.
Northern Arizona University
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7.
University of California, Irvine
- 8. University of Colorado Boulder
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9.
Wageningen University & Research
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
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Additional details
Funding
Software
- Programming language
- Python