Model data for "Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)"
Authors/Creators
- 1. Vrije Universiteit Amsterdam
- 2. University of California
- 3. Woodwell Climate Research Center
- 4. Vrije Universiteit, Amsterdam
- 5. University of Maryland
- 6. NASA Goddard Space Flight Center
Description
500 m fire carbon emissions and burned area as part of the publication:
"Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)"
Dave van Wees1, Guido R. van der Werf1, James T. Randerson2, Brendan M. Rogers3, Yang Chen2, Sander Veraverbeke1, Louis Giglio4, and Douglas C. Morton5
1Department of Earth Sciences, Vrije Universiteit, Amsterdam, 1081 HV, The Netherlands
2Department of Earth System Science, University of California, Irvine, CA 92697, USA
3Woodwell Climate Research Center, Falmouth, MA 02540, USA
4Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
5Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
DOI: https://doi.org/10.5194/gmd-15-8411-2022
UPDATE OF DATASET TO 2022:
This dataset has now been extended to 2022 along with multiple updates to the model input data:
- Update from MODIS C6 to MODIS C6.1 for all MODIS input data, including MCD12Q1 land cover types, MCD14ML active fires, MCD15A2H fPAR, MOD44B VCF, MOD44W land-water mask, and MCD64A1 burned area.
- Update of Hansen forest loss data from v1.9 to v1.11.
- Update of GLEAM evaporative stress data from v3.6b to v3.7b.
- Extension of ERA5-land data to 2022.
Files contain 500-m (per MODIS tile) and 0.25 degree aggregated (global grid) carbon emissions and burned area from biomass burning for 2002-2022, as part of the paper "Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)" published in Geoscientific Model Development (https://doi.org/10.5194/gmd-15-8411-2022). 0.25 degree global grid files also include biome partitioning and accompanying biome fractional cover grids.
Zip archives with filenames "500m_YYYY.zip" contain annual files named "Model500m_2002-2022yr_h##v##_YYYY.nc", which are the 500-meter resolution model results per MODIS tile using the MODIS sinusoidal projection. Carbon emission data layers are:
- Total biomass burning carbon emissions from aboveground; g C m-2 month-1 (/MOD_Grid/emissions/C_AG_TOT)
- Total biomass burning carbon emissions from belowground; g C m-2 month-1 (/MOD_Grid/emissions/C_BG_TOT)
- Fire-related forest loss carbon emissions from aboveground; g C m-2 month-1 (/MOD_Grid/emissions/C_AG_FL)
- Fire-related forest loss carbon emissions from belowground; g C m-2 month-1 (/MOD_Grid/emissions/C_BG_FL)
Total emissions are calculated as: C_AG_TOT + C_BG_TOT. Total fire-related forest loss emissions are calculated as: C_AG_FL + C_BG_FL.
Burned area data layers are:
- Total burned area; fraction of 500-m grid cell per month (/MOD_Grid/burned_area/BA_TOT)
- Burned area from fire-related forest loss; fraction of 500-m grid cell per month (/MOD_Grid/burned_area/BA_FL)
The Zip archive with filename "025d_2002_2022.zip" contains annual files named "Model500m_2002-2022yr_025d_YYYY.nc", which are the 500-m model results aggregated to a 0.25 degree global lat-lon grid. These files contain the same variables as the 500-m files, but aggregated to 0.25 degree resolution (MOD_CMG025). Furthermore, these files include biome partitioning of emissions and burned area (MOD_CMG025BIOME) and provide accompanying biome fractional cover grids for all 20 biomes (variable 'biomes'). Biomes are listed in detail in Table S1 of the van Wees et al. (2022) paper. The biomes 'water', 'snow/ice' and 'barren' were excluded from Table S1 because of their negligible share, but are included in the files provided here for completeness.
Files
025d_2002_2022.zip
Files
(8.9 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:e2ef5c0e3fe9a31e5fc77d4ecda5614f
|
656.5 MB | Preview Download |
|
md5:3aa9bcb55afa845d1ebb56a1372c5aac
|
350.2 MB | Preview Download |
|
md5:3fd2faf25294bd19513a23b0b1d66e66
|
395.8 MB | Preview Download |
|
md5:5ff31fce458a84a0f4d02e65422ad54a
|
400.0 MB | Preview Download |
|
md5:83032a0364cbe6185b460f1a4d2d269c
|
408.0 MB | Preview Download |
|
md5:a9d2c58c7c3739ed8bc79ff33de49495
|
388.1 MB | Preview Download |
|
md5:1540eaab8fc3d100c8cfd319bef9e1ae
|
409.6 MB | Preview Download |
|
md5:ef32623f9873e397c39f0295fb6accb3
|
395.6 MB | Preview Download |
|
md5:60e63d15ec0486739dbca70d45affb1c
|
377.3 MB | Preview Download |
|
md5:aa68fdd573b164112a5397757af22453
|
383.9 MB | Preview Download |
|
md5:f8334d23f0e832a05ccc9a79cbacde80
|
386.4 MB | Preview Download |
|
md5:f158c8ebd9609268c7ed3c08089b67b8
|
428.7 MB | Preview Download |
|
md5:d3743d65a3fc8b0a1d05239f337e64f6
|
391.0 MB | Preview Download |
|
md5:3740227e82667c9c70e9fae2fa8dfc01
|
397.1 MB | Preview Download |
|
md5:d6f006764756ecafc2bc5b109a082d47
|
417.0 MB | Preview Download |
|
md5:5f929f86c0421363b66bb65f765f4f15
|
409.0 MB | Preview Download |
|
md5:a7b20dd9896239d1823deae252ffc8ef
|
396.5 MB | Preview Download |
|
md5:8c529a13640a7c46c2abcf71e8cb4eea
|
362.3 MB | Preview Download |
|
md5:0281a92beda0b62e2446e2f513037cee
|
393.9 MB | Preview Download |
|
md5:80f25f678a0e84e432ab5151684d87cb
|
397.5 MB | Preview Download |
|
md5:054321631bde80d984e165622dddfd9a
|
376.8 MB | Preview Download |
|
md5:21f7f89b501d45895f1d15cdaaad9e88
|
358.9 MB | Preview Download |
Additional details
Related works
- Is new version of
- Dataset: 10.5281/zenodo.7229675 (DOI)
- Is supplement to
- Journal article: 10.5194/gmd-15-8411-2022 (DOI)