Preprints
https://doi.org/10.5194/essd-2023-527
https://doi.org/10.5194/essd-2023-527
03 Jan 2024
 | 03 Jan 2024
Status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

Global Emissions Inventory from Open Biomass Burning (GEIOBB): Utilizing Fengyun–3D global fire spot monitoring data

Yang Liu, Jie Chen, Yusheng Shi, Wei Zheng, Tianchan Shan, and Gang Wang

Abstract. Open biomass burning (OBB) significantly affects regional and global air quality, climate change, and human health. It is susceptible to fire types, including forests, shrublands, grasslands, peatlands, and croplands burning. Global high–resolution satellites can detect active fires, enabling a more accurate estimation of these emissions. In this study, we developed a global high–resolution (1×1 km) daily emission inventory associated with OBB emissions using the Chinese Fengyun–3D satellite’s global fire spot monitoring data, satellite and observational biomass data, vegetation index–derived spatiotemporal variable combustion efficiencies, and land–type–based emission factors. The average annual OBB emissions for 2020–2022 were 2,586.88 Tg C, 8841.45 Tg CO2, 382.96 Tg CO, 15.83 Tg CH4, 18.42 Tg NOX, 4.07 Tg SO2, 18.68 Tg OC, 3.77 Tg BC, 5.24 Tg NH3, 15.85 Tg NO2, 42.46 Tg PM2.5 and 56.03 Tg PM10. Specifically, taking carbon emissions as an example, the average annual OBB for 2020–2022 were 72.71 (BONA), 165.7 (TENA), 34.1 (CEAM), 42.9 (NHSA), 520.5 (Southern Hemisphere South America; SHSA), 13 (EURO), 8.4 (MIDE), 394.3 (Northern Hemisphere Africa; NHAF), 847 (Southern Hemisphere Africa; SHAF), 167.4 (BOAS), 27.9 (CEAS), 197.3 (Southeast Asia; SEAS), 13.2 (EQAS), and 82.4 (AUST) Tg. SHAF was identified as the region with the largest emissions. Notably, savanna grassland accounted for the lion’s share of total emissions, contributing to 46 %, followed by woody savanna/shrubs at 33 %. Moreover, notable seasonal variability characterizes the OBB carbon emissions, with marked increases observed in July and August. This surge in carbon emissions is chiefly attributed to fires in the savanna grasslands, woody savanna/shrubs, and tropical forests of SHAF, SHSA, and NHAF. Fires in savanna grasslands were predominant in the NHAF, contributing to 77 % of emissions during January–April, whereas in the SEAS, woody savanna/shrubs (52 %) and tropical forests (23 %) were the primary sources. Our comprehensive high–resolution inventory of OBB emissions provides valuable insights for enhancing the accuracy of air quality modelling, atmospheric transport and biogeochemical cycle studies. The GEIOBB dataset can be downloaded at http://figshare.com with the following identifier DOI: https://doi.org/10.6084/m9.figshare.24793623 (Liu et al., 2023).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Yang Liu, Jie Chen, Yusheng Shi, Wei Zheng, Tianchan Shan, and Gang Wang

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-527', Anonymous Referee #1, 01 Feb 2024
    • AC1: 'Reply on RC1', Yang Liu, 28 Feb 2024
  • CC1: 'Comment on essd-2023-527', xiansheng zhou, 02 Feb 2024
  • CC2: 'Comment on essd-2023-527', Yang Chen, 02 Feb 2024
  • RC2: 'Comment on essd-2023-527', Anonymous Referee #2, 14 Feb 2024
    • AC2: 'Reply on RC2', Yang Liu, 28 Feb 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-527', Anonymous Referee #1, 01 Feb 2024
    • AC1: 'Reply on RC1', Yang Liu, 28 Feb 2024
  • CC1: 'Comment on essd-2023-527', xiansheng zhou, 02 Feb 2024
  • CC2: 'Comment on essd-2023-527', Yang Chen, 02 Feb 2024
  • RC2: 'Comment on essd-2023-527', Anonymous Referee #2, 14 Feb 2024
    • AC2: 'Reply on RC2', Yang Liu, 28 Feb 2024
Yang Liu, Jie Chen, Yusheng Shi, Wei Zheng, Tianchan Shan, and Gang Wang

Data sets

Global Emissions Inventory from Open Biomass Burning (GEIOBB): Utilizing Fengyun-3D global fire spot monitoring data Yang Liu, Jie Chen, Yusheng Shi, Wei Zheng, Tianchan Shan, and Gang Wang https://doi.org/10.6084/m9.figshare.24793623.v2

Yang Liu, Jie Chen, Yusheng Shi, Wei Zheng, Tianchan Shan, and Gang Wang

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Short summary
Open biomass burning has a significant impact on regional and global air quality. To enhance the quantification of global emissions from open biomass burning, we have developed the "Global Emissions Inventory from Open Biomass Burning" (GEIOBB), which provides a global daily-scale, 1 km resolution database of multiple pollutant emissions. This database aids global-scale environmental analysis of biomass burning.
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