Advances in Forest Fire Research 2014
DOI: 10.14195/978-989-26-0884-6_180
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Anticipating the severity of the fire season in Northern Portugal using statistical models based on meteorological indices of fire danger

Abstract: A navegação consulta e descarregamento dos títulos inseridos nas Bibliotecas Digitais UC Digitalis, UC Pombalina e UC Impactum, pressupõem a aceitação plena e sem reservas dos Termos e Condições de Uso destas Bibliotecas Digitais, disponíveis em https://digitalis.uc.pt/pt-pt/termos. Conforme exposto nos referidos Termos e Condições de Uso, o descarregamento de títulos de acesso restrito requer uma licença válida de autorização devendo o utilizador aceder ao(s) documento(s) a partir de um endereço de IP da inst… Show more

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Cited by 5 publications
(16 citation statements)
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“…As discussed in Pereira et al (2005), the interannual variability of BA in Portugal is modulated by two kinds of me-teorological factors, namely the temperature and precipitation regimes during the pre-fire season and the occurrence of hot and dry spells during the fire season. Following Nunes et al (2014), the period from April to August is accordingly divided into two subperiods: (1) the pre-fire season that runs from 1 April (day 1) up to 30 June (day 91) and (2) the fire season that runs from 1 July (day 1) up to 31 August (day 62).…”
Section: Methodsmentioning
confidence: 99%
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“…As discussed in Pereira et al (2005), the interannual variability of BA in Portugal is modulated by two kinds of me-teorological factors, namely the temperature and precipitation regimes during the pre-fire season and the occurrence of hot and dry spells during the fire season. Following Nunes et al (2014), the period from April to August is accordingly divided into two subperiods: (1) the pre-fire season that runs from 1 April (day 1) up to 30 June (day 91) and (2) the fire season that runs from 1 July (day 1) up to 31 August (day 62).…”
Section: Methodsmentioning
confidence: 99%
“…Departures of severe and weak years from the fitted normal distribution suggest that other factors, namely meteorological ones, are playing a role in the interannual variability of BA (Pereira et al, 2005). Following the approach proposed by Nunes et al (2014), for a given fixed day d, where d is chosen between 26 May (d = 56) and 30 June (d = 91), we tested an alternate model that incorporates information about meteorological fire danger in the pre-fire and the fire seasons. The starting date of 26 May was set a posteriori, as the day when the alternate model becomes statistically significant and therefore the information provided is relevant for the users.…”
Section: Model With Two Covariatesmentioning
confidence: 99%
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“…Following Nunes et al (2014), the period from April to August is divided into two subperiods; 1) the pre-fire season that runs from April 1 (day 1) up to June 30 (day 91) and 2) the fire season that runs from July 1 (day 1) up to August 31 (day 62).…”
Section: Methodsmentioning
confidence: 99%
“…Departures of severe and weak years from the fitted normal distribution suggest that other factors, namely meteorological ones, are playing a role in the interannual variability of BA (Pereira et al, 2005). Following the approach proposed by Nunes et al (2014), for a given fixed day , where d is chosen between May 26 ( = 56) and June 30 ( = 91), we tested an alternate model that incorporates information about meteorological fire danger in the pre -fire and the fire seasons. Accordingly, using…”
Section: Model With Two Covariatesmentioning
confidence: 99%