This dataset analyzed the uncertainty of six state-of-the-art fire emission products and merged them using the Triangular Cap Method (TCH) to generate a new global fire emission dataset, FiTCH. The FiTCH dataset provides global annual carbon emissions from fires with a spatial resolution of 0.1 degrees from 2001 to 2021. The unit of carbon emissions is gigagrams of carbon per pixel (Gg C). The stacked grid data consists of 21 bands, each representing a year since 2001. This dataset emphasizes the importance of forest fire monitoring and management for effectively mitigating climate change and protecting ecosystems p>
collect time | 2001/01/01 - 2021/12/31 |
---|---|
collect place | Global |
data size | 63.5 MiB |
data format | TIFF |
Coordinate system |
The Global Fire Assimilation System (GFAS), Rapid Fire Emissions Dataset (QFED), Global Fire Emissions Database (GFED), National Center for Atmospheric Research (NCAR) Fire Inventory (FINN), Fire Energy and Emissions Study (FEER), and data from Xu et al. (2021) p>
Compare and analyze six types of data using the triangular hat method.
The results indicate that satellite products such as the Global Fire Assimilation System (GFAS), Rapid Fire Emission Dataset (QFED), and Global Fire Emission Database (GFED) have lower uncertainty in fire emissions, while data from the National Center for Atmospheric Research (NCAR) Fire Inventory (FINN), Fire Energy and Emissions Study (FEER), and Xu et al. (2021) have higher uncertainty. The proposed FiTCH dataset has the lowest uncertainty, with an average annual fire emission of 1978.47 Tg C from 2001 to 2021 p>
# | title | file size |
---|---|---|
1 | FiTCH_Globe_Gg.tif | 63.5 MiB |
2 | _ncdc_meta_.json | 5.1 KiB |
# | category | title | author | year |
---|---|---|---|---|
1 | paper | A global fire emission dataset using the three-corner hat method (FiTCH) | M,Liu,L,Yang | 2023 |
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
©Copyright 2005-. Northwest Institute of Eco-Environment and Resources, CAS.
Donggang West Road 320, Lanzhou, Gansu, China (730000)