@Article{SilvaJustSetzAvil:2021:VeFiAc,
author = "Silva, Alex S. da and Justino, Fl{\'a}vio and Setzer, Alberto
Waingort and Avila-Diaz, Alvaro",
affiliation = "{Universidade Federal do Oeste do Par{\'a} (UFOPA)} and
{Universidade Federal de Vi{\c{c}}osa (UFV)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
de Vi{\c{c}}osa (UFV)}",
title = "Vegetation fire activity and the Potential Fire Index (PFIv2)
performance in the last two decades (2001-2016)",
journal = "International Journal of Climatology",
year = "2021",
volume = "41",
number = "Supl. 1",
pages = "E78--E92",
month = "Jan.",
keywords = "atmospheric conditions, fire weather, Haines index, MODIS.",
abstract = "Fire incidence has been linked to multiple factors such as climate
conditions, population density, agriculture, and lightning.
Recently, fire frequency and severity have induced health problems
and contributed to increase atmospheric greenhouse gases. Based on
atmospheric susceptibility to fire, this study evaluates the use
of a Potential Fire Index (PFIv2) to identify regions prone to
fire development, as demonstrated by the satellite detected-fire
in the 2001-2016 interval. It is demonstrated that PFIv2 delivers
an efficiency by up to 80% in matching the observed fires from
Terra/MODIS satellite. The PFIv2 is also able to reproduce more
accurately areas with fire activity with respect to its previous
version, the PFI. This better performance is linked to the
implementation of parameterization of water pressure deficit and
atmospheric stability in the lower troposphere, and a new term to
represent the effect of surface temperatures, particularly in
mid-latitudes and extra-Tropics. To evaluate the performance of
the PFIv2 in more details, its comparison to MODIS burned areas
demonstrated correlations values higher than 0.6 over the most
susceptible regions such as Africa and South America, slightly
lower correlation is found where fire does not primary follows the
climate annual cycle, and is dominated by high frequency events.
These findings indicate that the PFIv2 can be an important tool
for decision makers in predicting the potential for vegetation
fires development and fire danger.",
doi = "10.1002/joc.6648",
url = "http://dx.doi.org/10.1002/joc.6648",
issn = "0899-8418",
language = "en",
targetfile = "Silva_vegetation.pdf",
urlaccessdate = "09 maio 2024"
}