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Global Biomass Burning Emissions Inventory (GBEI)

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Inventories of Global Trace gas emissions through Biomass Burning. We created eight global CO2 emission inventories through fires by combining input data sources, which were 2-land cover maps (MCD12Q1 and GLC2000), 2-above ground biomass (GEOCARBON global forest biomass (Wargeningen University) and Globbiomass AGB maps (European Space Agency (ESA))), and 2-confidencial level of burned area (Low and middle confidence of MOD14A1) (Shiraishi et al., 2021). Data were validated by comparing CO concentrations calculated by foward model using 8-emission data and observed CO concentrations, and we found that CO from combination of GLC2000, Globbiomass AGB map and low confidencial burned are close to observed one (Saito et al., 2022). We provide CO2/CO/CH4 emissions calculated using this combination data. The spatial resolution of the data are 1km and 1deg.

Description

Creator
Release date
2023/01/24
Temporal coverage
2001/01/01 - 2023/12/31
Data provider
NIES
Email: cgerdb_admin(at)nies.go.jp
DOI
File format
TIFF, netCDF
Data volume
1.46 GB
Version
Ver.2022b (Last updated: 2025/02/14)
Language
English

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Data Set

Parameters
Global Biomass Burning Emissions Inventory
Domain
Global
Time resolution
1 month
Spatial resolution
1 x 1 km, 1 x 1 deg
Calculation method
Biomass burning emissions were estimated using land cover map from the Global Land Cover 2000 project, aboveground biomass data from Globbiomass (ESA), and a burned area from MOD14A1 low confidence (Shiraishi et al., 2021, Saito et al., 2022).
Keywords
[Free keywords]
Fire, Carbon Dioxide, CO2, Carbon Monoxide, CO, Methane, CH4
Update history
[2025/02/14]
Data are extended to the end of 2023. Ver.2022b.
[2023/01/24]
Data are released. Ver.2022a.

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Contributors

Data Manager

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Reference Information

Reference
Shiraishi T., Hirata R. (2021) Estimation of carbon dioxide emissions from the megafires of Australia in 2019–2020. Scientific Reports, 11, 8267, doi:10.1038/s41598-021-87721-x.
Shiraishi T., Hirata R., Hirano T. (2021) New Inventories of Global Carbon Dioxide Emissions through Biomass Burning in 2001-2020. Remote Sensing, 13 (10), 1914, doi:10.3390/rs13101914.
Saito M., Shiraishi T., Hirata R., Niwa Y., Saito K., Steinbacher M., Worthy D., Matsunaga T. (2022) Sensitivity of biomass burning emissions estimates to land surface information. Biogeosciences, 19 (7), 2059-2078, doi:10.5194/bg-19-2059-2022.

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Terms and Conditions of Use*

*By accessing or using the Service you agree to follow these Terms. If you disagree with any part of the Terms, you may not access the Service.

License
Citation format
When this data set is referred to in publications, it should, as a general rule, be cited in the following format.
Shiraishi et al. (2023), Global Biomass Burning Emissions Inventory (GBEI), Ver.xxxx*1, NIES, DOI:10.17595/20230124.001, (Reference date*2: YYYY/MM/DD)
*1 The version number is indicated in the name of each data file.
*2 As the reference date, please indicate the date you downloaded the files.
However, if the citation format is otherwise determined by the submission guidelines of the journal, the journal submission guidelines are to be followed.
When referring to this data set, please also cite the following papers.
Shiraishi T., Hirata R., Hirano T. (2021) New Inventories of Global Carbon Dioxide Emissions through Biomass Burning in 2001-2020. Remote Sensing, 13 (10), 1914, doi:10.3390/rs13101914.
Saito M., Shiraishi T., Hirata R., Niwa Y., Saito K., Steinbacher M., Worthy D., Matsunaga T. (2022) Sensitivity of biomass burning emissions estimates to land surface information. Biogeosciences, 19 (7), 2059-2078, doi:10.5194/bg-19-2059-2022.

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Advisory Service

Advisory service
If you need scientific advice or expert opinion regarding the contents or scientific validity of this data set or Products derived from it, we can provide an advisory service based on an individual contract, different from the above one.
Depending on the extent of the help required, we can offer collaboration and/or supervision of the work based on the present data set. If you want to use our advisory service, contact the Data Provider.

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