Carbon Emissions from Fires: Jan 2003 - Jan 2022

  • Released Tuesday, September 13, 2022
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This visualization uses the Global Fire Emissions Database version 4 to show the weekly carbon emissions from fires from January 2003 through January 2022. The data has a spatial resolution of 0.25 degrees in both latitude and longitude. The monthly fire carbon emissions with small fires from the GFED4s dataset was multiplied by the daily fractional contribution to get the daily carbon emission. This was summed over each 7-day period beginning on January 1st each year. Day of year 365 (and day 366 in leap years) was not included.

The perceptually uniform color scales used in this visualization were developed by Peter Koversi and are available here. See Peter Kovesi. Good Colour Maps: How to Design Them. arXiv:1509.03700 [cs.GR] 2015 for additional information.


The date and colorbar overlay with transparency for the cabon emissions visualization shown above.

The date and colorbar overlay with transparency for the cabon emissions visualization shown above.






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Color bar for the carbon emissions from fire visualization

Color bar for the carbon emissions from fire visualization

thumbnail image for Science On a Sphere

thumbnail image for Science On a Sphere



Credits

Please give credit for this item to:
NASA's Scientific Visualization Studio

Release date

This page was originally published on Tuesday, September 13, 2022.
This page was last updated on Sunday, October 6, 2024 at 11:08 PM EDT.


Datasets used

  • GFED4s (Global Fire Emissions Database, Version 4.1)

    ID: 1050
    Type: Data Compilation

    This fourth version of the Global Fire Emissions Database (GFED4s) provides monthly burned area, fire carbon (C) and dry matter (DM) emissions, and the contribution of different fire types to these emissions in order to calculate trace gas and aerosol emissions using emission factors.

    See all pages that use this dataset

Note: While we identify the data sets used on this page, we do not store any further details, nor the data sets themselves on our site.