TY - JOUR
T1 - Vegetation fire activity and the Potential Fire Index (PFIv2) performance in the last two decades (2001–2016)
AU - da Silva, Alex S.
AU - Justino, Flavio
AU - Setzer, Alberto W.
AU - Avila-Diaz, Alvaro
N1 - Funding Information:
The authors acknowledge the support of the Coordination for the Improvement of Higher Education Personnel (CAPES), the Minas Gerais Research Foundation (FAPEMIG), and the Brazilian National Council for Scientific and Technological Development (CNPq). We are also grateful to the Federal University of Western Para (Ordinance N° 594, of March 4, 2015); to the Graduate Program in Applied Meteorology of the Federal University of Vicosa ( www.posmet.ufv.br ), and to the Fire Program of the National Institute of Space Research – Brazil (INPE). We are very thankful to Cristian F. Zuluaga for processing the area burned dataset.
Funding Information:
The authors acknowledge the support of the Coordination for the Improvement of Higher Education Personnel (CAPES), the Minas Gerais Research Foundation (FAPEMIG), and the Brazilian National Council for Scientific and Technological Development (CNPq). We are also grateful to the Federal University of Western Para (Ordinance N? 594, of March 4, 2015); to the Graduate Program in Applied Meteorology of the Federal University of Vicosa (www.posmet.ufv.br), and to the Fire Program of the National Institute of Space Research ? Brazil (INPE). We are very thankful to Cristian F. Zuluaga for processing the area burned dataset.
Funding Information:
Brazilian National Council for Scientific and Technological Development (CNPq); Minas Gerais Research Foundation (FAPEMIG); Coordination for the Improvement of Higher Education Personnel (CAPES) Funding information
Publisher Copyright:
© 2020 Royal Meteorological Society
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
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U2 - 10.1002/joc.6648
DO - 10.1002/joc.6648
M3 - Research Article
AN - SCOPUS:85086383119
SN - 0899-8418
VL - 41
SP - E78-E92
JO - International Journal of Climatology
JF - International Journal of Climatology
IS - S1
ER -