Spatiotemporal prediction of wildfire extremes with Bayesian finite sample maxima

Wildfires are becoming more frequent in parts of the globe, but predicting where and when wildfires occur remains difficult. To predict wildfire extremes across the contiguous United States, we integrate a 30 year wildfire record with meteorological and housing data in spatiotemporal Bayesian statis...

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Vydané v:	bioRxiv
Hlavní autori:	Joseph, Maxwell B, Rossi, Matthew W, Mietkiewicz, Nathan P, Mahood, Adam L, Cattau, Megan E, St Denis, Lise Ann, Nagy, R Chelsea, Iglesias, Virginia, Abatzoglou, John T, Balch, Jennifer K
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Cold Spring Harbor Cold Spring Harbor Laboratory Press 16.02.2019 Cold Spring Harbor Laboratory
Vydanie:	1.3
Predmet:	Air temperature Bayesian analysis Ecology Fires Forest & brush fires Mathematical models Statistical analysis Wildfires United States > US fire climate spatiotemporal extremes wildfire Bayesian
ISSN:	2692-8205, 2692-8205
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