<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Modeling | Project FIREPATHS</title><link>https://firepaths.org/tag/modeling/</link><atom:link href="https://firepaths.org/tag/modeling/index.xml" rel="self" type="application/rss+xml"/><description>Modeling</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© {2022} Marcos Rodrigues</copyright><lastBuildDate>Fri, 28 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://firepaths.org/media/logo_hu9cf13c1fe7dedd44b00ca09f810b56a8_183722_300x300_fit_lanczos_3.png</url><title>Modeling</title><link>https://firepaths.org/tag/modeling/</link></image><item><title>Assessing human-caused wildfire ignition likelihood across Europe</title><link>https://firepaths.org/publication/ignition_europe/</link><pubDate>Fri, 28 Nov 2025 00:00:00 +0000</pubDate><guid>https://firepaths.org/publication/ignition_europe/</guid><description/></item><item><title>Wildfire Occurrence In Chile: Regional Modeling And Implications For Risk Management</title><link>https://firepaths.org/publication/ignition_chile_rodrigo/</link><pubDate>Wed, 26 Nov 2025 00:00:00 +0000</pubDate><guid>https://firepaths.org/publication/ignition_chile_rodrigo/</guid><description/></item><item><title>Human-caused ignition pathways under climate change scenarios in Eastern Spain</title><link>https://firepaths.org/publication/human_caused-2025/</link><pubDate>Fri, 07 Mar 2025 00:00:00 +0000</pubDate><guid>https://firepaths.org/publication/human_caused-2025/</guid><description/></item><item><title>FLARE</title><link>https://firepaths.org/projects/flare/</link><pubDate>Sun, 01 Sep 2024 00:00:00 +0000</pubDate><guid>https://firepaths.org/projects/flare/</guid><description>&lt;p>The general objective of the FLARE project is to anticipate the potential increase in catastrophic wildfires and develop a science-based national strategy for risk mitigation and adaptation in Spain. To achieve this goal, we aim to identify high-priority management areas, with a particular focus on densely populated, fire-prone locations that are likely to experience a significant rise in extreme fires due to changing climate. This information is critical for the development of short-term accelerated management strategies aimed at addressing the ongoing wildfire crisis.&lt;/p></description></item><item><title>FireCycle</title><link>https://firepaths.org/projects/firecycle/</link><pubDate>Mon, 01 Apr 2024 00:00:00 +0000</pubDate><guid>https://firepaths.org/projects/firecycle/</guid><description>&lt;p>The main objective of the project is to develop, implement and integrate empirical and stochastic methods to assess exposure to wildfires at the landscape level.&lt;/p></description></item><item><title>AXA-Chile</title><link>https://firepaths.org/projects/axa-chile/</link><pubDate>Fri, 01 Mar 2024 00:00:00 +0000</pubDate><guid>https://firepaths.org/projects/axa-chile/</guid><description>&lt;p>Wildfire is a major hazard across the globe, causing extensive economic, ecological and health impacts. While wildfires are common throughout Chile due to the warm and dry summers, extreme wildfire seasons have been more frequent, as observed in 2017, 2023 and 2024 fire storms. Climate models indicate that climate conditions in Chile will get more favorable to wildfires underscoring the urgent need for advanced risk assessment and mitigation strategies. The Joint Research Initiative (JRI) led by the GEOFOREST Research group at the University of Zaragoza in collaboration with AXA Climate team aims to address these critical challenges and provide a comprehensive approach to quantify and evaluate the future environmental risks posed by wildfires in Chile. The research team will focus on developing and improving quantitative methods to model wildfire risk, considering the influence of climate change on the frequency, intensity, and behavior of wildfires. By integrating probabilistic approaches and leveraging vegetation, topography, and climate data, the JRI aims to develop innovative strategies for wildfire spread modeling tailored taking Chile as a case study. These models will simulate thousands of wildfire seasons, providing insights into the likelihood and impact of wildfires at a high spatial resolution. Specific objectives of the JRI include the development of wildfire ignition probabilistic models, upscaling of existing fuel mapping (with special focus on eucalypt plantations), and the evaluation of alternative wildfire spread models. The project will also encompass the assessment of critical factors of risk previously not covered, such as climate variability, to provide precise estimates of current and future wildfire risk conditions across Chile. The research team will utilize advanced technologies, datasets, and methods to deliver a robust framework for computing wildfire risk at a local scale. By sharing the developed research findings with AXA Climate and the scientific community, the project seeks to disseminate its findings widely and contribute to the global understanding of wildfire risk assessment and management. The results of this research effort will contribute to improving predictions of the impact of wildfires in Chile, enabling policymakers, insurers, and the business community to take proactive measures in mitigating their impact on society and the economy. The JRI represents a significant step forward in advancing wildfire risk assessment and mitigation strategies, with the potential to benefit not only Chile but also other regions facing similar wildfire challenges around the world.&lt;/p></description></item></channel></rss>