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Publicação
Global-scale statistical modelling of the radiative power released by vegetation fires using a doubly truncated lognormal body distribution with generalized Pareto tails
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Orientador(es)
Resumo(s)
We present a statistical model with 8 parameters that combines three components,
namely a truncated lognormal distribution central body with a lower and an upper tail,
both consisting of Generalized Pareto (GP) distributions. We fit the model to a dataset of
more than 85 million records of the logarithm of fire radiative power (FRP) at the global
scale, as derived from satellite observations covering a 19-year period (2002–2021).
We use the model to characterize fire activity associated to three fire macro-regimes,
designated Wild, Tamed and Domesticated, and to identify a global decreasing trend
in fire intensity with moderate release of FRP (10–100 MW) during 2002–2021 that is
consistent with agricultural expansion and intensification. The model can be applied to
the calibration of meteorological fire danger indices that are used to assist fire prevention
and suppression activities.
Descrição
Palavras-chave
global fire activity fire radiative power two generalized pareto tail lognormal body distribution moderate resolution imaging spectroradiomete
Contexto Educativo
Citação
DaCamara, Carlos C., et al. “Global-Scale Statistical Modelling of the Radiative Power Released by Vegetation Fires Using a Doubly Truncated Lognormal Body Distribution with Generalized Pareto Tails.” Physica A: Statistical Mechanics and Its Applications, vol. 625, Sept. 2023, p. 129049
Editora
Elsevier