The historical and presettlement relationships between drought and wildfire are well
documented in North America, with forest fire occurrence and area clearly increasing in …

The increasing global concern about wildfires, mostly caused by people, has triggered the
development of human-caused fire occurrence models in many countries. The premise is …

While diffusion models can successfully generate data and make predictions, they are
predominantly designed for static images. We propose an approach for training diffusion …

This paper describes an improved edition of the climate division dataset for the
conterminous United States (ie, version 2). The first improvement is to the input data, which …

This simulation research was conducted in order to develop a large-fire risk assessment
system for the contiguous land area of the United States. The modeling system was applied …

Increasing wildfire activity in recent decades, partially related to extended droughts, along
with concern over potential impacts of future climate change on fire activity has resulted in …

Wildfire risks for California under four climatic change scenarios were statistically modeled
as functions of climate, hydrology, and topography. Wildfire risks for the GFDL and PCM …

A 21-yr gridded monthly fire-starts and acres-burned dataset from US Forest Service, Bureau
of Land Management, National Park Service, and Bureau of Indian Affairs fire reports …

Wildland fire management is subject to manifold sources of uncertainty. Beyond the
unpredictability of wildfire behavior, uncertainty stems from inaccurate/missing data, limited …

Aim In order to understand fire's impacts on vegetation dynamics, it is crucial that the
distribution of fire sizes be known. We approached this distribution using a power‐law …