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\begin{document}

\title{Analysis of Atmospheric Factors affecting wildfires}



\author[1]{Yujie Li}%
\author[2]{Xiaoqing Gao}%
\author[3]{Zhenchao Li}%
\author[4]{Junxia Jiang}%
\author[1]{Peidu Li}%
\affil[1]{Northwest Institute of Eco-Environment and Resources}%
\affil[2]{Northwest Institute of Eco-Environment and resources，Chinese Academy of Sciences}%
\affil[3]{Cold and Arid Regions Environmental and Engineering Research Institute}%
\affil[4]{Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences}%


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  \date{June 10, 2024}


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\begin{abstract}
Wildfires have a great impact on the global ecosystem and human society,
so the prediction and prevention of wildfires is necessary. This article
uses the MOD14A2 data, the NCEP/NCAR and ERA5 Reanalysis data, the
GFEDv4 data and the Scripps O\textsubscript{2} data to analyze the
correlation between wildfires, meteorological elements and oxygen
concentration in the Boreal North America (BONA), the Temperate North
America (TENA), the Australia and New Zealand (AUST). The following
preliminary conclusions were obtained: 1) From 2001 to 2015, 2002 was
the year with the most wildfires, and august was the month with the most
wildfires. Besides, Northern Africa, Southern Africa and South America
are the main wildfires-affected areas, the total wildfires area from
2001 to 2015 is about 2148 million ha, accounting for nearly 80\% of the
global wildfires area in these 15 years. 2) Globally, the correlation
coefficient between temperature and wildfires area is 0.47, between wind
speed and wildfires area is 0.17, between precipitation and wildfires
area is -0.41; between relative humidity and wildfires area is -0.19. 3)
AS the direct path coefficients of oxygen concentration are nearly 0.38,
oxygen can be regarded as a variable independent of meteorological
elements. In BONA, from 2001 to 2015, the correlation coefficient
between oxygen concentration and wildfires area is 0.61; In TENA, the
correlation coefficient is 0.62; In AUST, the correlation coefficient is
0.6. This study illustrates the importance of oxygen concentration for
wildfires. So, it is of great significance to the prediction and
prevention of global wildfires.%
\end{abstract}%



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