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https://doi.org/10.5194/essd-2023-150
https://doi.org/10.5194/essd-2023-150
19 Jun 2023
 | 19 Jun 2023
Status: this discussion paper is a preprint. It has been under review for the journal Earth System Science Data (ESSD). The manuscript was not accepted for further review after discussion.

A global fire emission dataset using the three-corner hat method (FiTCH)

Meng Liu and Linqing Yang

Abstract. Fire carbon emissions contribute to the accumulation of atmospheric CO2 and affect climate change. It is crucial to accurately monitor the dynamics of global fire emissions for fire management and climate change mitigation. However, there are large uncertainties in the existing satellite-based global fire emission products. This study analyzed the uncertainties of six state-of-the-art fire emission products and merged them using the three-corner hat method (TCH), producing a new global fire emission dataset, FiTCH. Our results revealed that satellite-based products such as the Global Fire Assimilation System (GFAS), the Quick Fire Emissions Dataset (QFED), and the Global Fire Emissions Database (GFED) had low uncertainties in fire emissions, while the Fire INventory from National Center for Atmospheric Research (NCAR) (FINN), the Fire Energetics and Emissions Research (FEER), and Xu et al. (2021) data had high uncertainties. The proposed FiTCH dataset presented the lowest uncertainties with a mean annual fire emission of 1978.47 Tg C in 2001–2021. Among biomes, tropical forests and tundra showed higher uncertainties than other biomes such as temperate forests and Mediterranean forests. In drought years, forests showed increased fire emissions, especially in boreal forests, while non-forest regions like grasslands displayed decreased emissions. By integrating the FiTCH data and historical fire emissions in the late 20th century, 1994 was identified as a break year, before which global fire emissions increased significantly and after which the emissions decreased. Global land temperatures and fire emissions have decoupled in the past two decades. However, climate change still causes threats to forest carbon sequestration, especially for boreal forests. This study highlights the importance of forest fire monitoring and management for effective climate mitigation and ecosystem conservation. The proposed FiTCH dataset is available from: https://doi.org/10.6084/m9.figshare.22647382.v1 (Liu and Yang, 2023).

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Meng Liu and Linqing Yang

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-150', Anonymous Referee #1, 09 Jul 2023
    • AC1: 'Reply on RC1', Meng Liu, 17 Jul 2023
  • RC2: 'Comment on essd-2023-150', Anonymous Referee #2, 13 Jul 2023
    • AC2: 'Reply on RC2', Meng Liu, 17 Jul 2023
      • RC3: 'Reply on AC2', Anonymous Referee #2, 19 Jul 2023
        • AC4: 'Reply on RC3', Meng Liu, 24 Jul 2023
  • AC3: 'Comment on essd-2023-150', Meng Liu, 17 Jul 2023
  • RC4: 'Comment on essd-2023-150', Anonymous Referee #3, 24 Sep 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-150', Anonymous Referee #1, 09 Jul 2023
    • AC1: 'Reply on RC1', Meng Liu, 17 Jul 2023
  • RC2: 'Comment on essd-2023-150', Anonymous Referee #2, 13 Jul 2023
    • AC2: 'Reply on RC2', Meng Liu, 17 Jul 2023
      • RC3: 'Reply on AC2', Anonymous Referee #2, 19 Jul 2023
        • AC4: 'Reply on RC3', Meng Liu, 24 Jul 2023
  • AC3: 'Comment on essd-2023-150', Meng Liu, 17 Jul 2023
  • RC4: 'Comment on essd-2023-150', Anonymous Referee #3, 24 Sep 2023
Meng Liu and Linqing Yang

Data sets

A global fire emission dataset using the three-corner hat method (FiTCH) Meng Liu and Linqing Yang https://doi.org/10.6084/m9.figshare.22647382.v1

Meng Liu and Linqing Yang

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Short summary
This study analyzed the uncertainties of six existing fire emission products and merged them using the three-corner hat method, producing a new global fire emission dataset, FiTCH. We found forests showed increased fire emissions in drought years using the FiTCH data. Global land temperatures and fire emissions have decoupled in the past two decades. This study highlights the importance of forest fire monitoring and management for effective climate mitigation and ecosystem conservation.
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