@Article{JustinoBroSchSilWan:2022:ArOsPa,
author = "Justino, Fl{\'a}vio and Bromwich, David H. and Schumacher,
Van{\'u}cia and Silva, Alex da and Wang, Sheng-Hung",
affiliation = "Universidade Federal de Vi{\c{c}}osa, (UFV) and {The Ohio State
UniversitY} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Universidade Federal do Oeste do Par{\'a} (UFOPA)} and {The
Ohio State University}",
title = "Arctic Oscillation and Pacific-North American pattern
dominated-modulation of fire danger and wildfire occurrence",
journal = "NPJ climate and Atmospheric Science",
year = "2022",
volume = "5",
number = "52",
abstract = "Based on statistical analyses and Arctic Oscillation (AO) and the
Pacific-North American pattern (PNA) induced climate anomalies in
the 20012020 interval, it has been found that these climate modes
drastically influence the fire danger (PFIv2) in differing ways
across coastal and inland regions. The AO induces higher fire risk
in northern Eurasia and central North America, whereas the PNA
increases the fire danger across southern Asia and western North
America. Moreover, fires have been predominantly identified, up to
70%, during the positive phases of AO and PNA northward of 50°N,
in particular over Alaska, Baltic States and eastern Asia. For
coincident positive AO and negative PNA days, a large number of
fires have been identified over northwestern North America and
northern Eurasia. Spectral analyses demonstrate that weather
anomalies related to AO and PNA lead fire danger by 1020 days, and
both modes are significantly correlated to PFIv2 over north
America and most of Eurasia. Despite some drawbacks related to the
fire danger methods currently applied (PFI and FWI), it is
demonstrated that the influence of AO and PNA on potential
environmental driven-fires can be anticipated, in some locations
on almost 90% of days. Fire danger forecasts are urgently needed
and the understanding of factors and conditions, which are able to
modify the environmental susceptibility to fire development, are
crucial for adequate management to reduce the harmful effects of
fire. In this sense, our results reveal that a better prediction
of the fire season can be achieved by advanced assessment of the
PNA and AO behavior, and shed light on the need to investigate the
impact of other modes of climate variability upon wildfire
frequency and severity.",
doi = "10.1038/s41612-022-00274-2",
url = "http://dx.doi.org/10.1038/s41612-022-00274-2",
issn = "2397-3722",
language = "en",
targetfile = "s41612-022-00274-2.pdf",
urlaccessdate = "29 jun. 2024"
}