Identifying Key Drivers of Wildfires in the Contiguous US Using Machine Learning and Game Theory Interpretation by Sally S.‐C. Wang, Yun Qian, L. Ruby Leung, Yang Zhang

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Comparison of Firebrand Propagation Prediction by a Plume Model and a Coupled–Fire/Atmosphere Large–Eddy Simulator by Mary Ann Jenkins, Sangay Bhutia, Ruiyu Sun

Subjects: “…Coupled atmosphere/wildfire modeling…”
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Application of LiDAR Derived Fuel Cells to Wildfire Modeling at Laboratory Scale by Anthony A. Marcozzi, Jesse V. Johnson, Russell A. Parsons, Sarah J. Flanary, Carl A. Seielstad, Jacob Z. Downs

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Visualization of Prediction Methods for Wildfire Modeling Using CiteSpace: A Bibliometric Analysis by Mengya Pan, Shuo Zhang

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Leveraging national forestry data repositories to advocate wildfire modeling towards simulation-driven risk assessment by Juan Luis Gómez-González, Alexis Cantizano, Raquel Caro-Carretero, Mario Castro

“…To provide reliable indicators of the risk of an ongoing wildfire, models aimed at informing policy-making should quantify the primary sources of uncertainty in their predictions. …”
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Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models by Ke Shi, Yoshiya Touge, Yanhong Dou

“…However, the interactions between the causative variables of wildfires and the wildfire bivariate characteristics have not been explored in wildfire modeling. Therefore, the copula function was applied to solve the complicated and nonlinear relationship of the dependence structure in wildfire statistics and the relationship between wildfire causative variables. …”
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Characterizing the Role of Moisture and Smoke on the 2021 Santa Coloma de Queralt Pyroconvective Event Using WRF‐Fire by Masih Eghdami, Timothy W. Juliano, Pedro A. Jiménez, Branko Kosovic, Marc Castellnou, Rajesh Kumar, Jordi Vila‐Guerau de Arellano

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Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California by Katelyn Zigner, Leila M. V. Carvalho, Seth Peterson, Francis Fujioka, Gert-Jan Duine, Charles Jones, Dar Roberts, Max Moritz

Subjects: “…wildfire modeling…”
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Predicting Fire Propagation across Heterogeneous Landscapes Using WyoFire: A Monte Carlo-Driven Wildfire Model by Cory W. Ott, Bishrant Adhikari, Simon P. Alexander, Paddington Hodza, Chen Xu, Thomas A. Minckley

“…This study evaluated the predictive performance of a wildfire simulation platform that implements a Monte Carlo-based wildfire model called WyoFire. WyoFire was used to predict the growth of 10 wildfires that occurred in Wyoming, USA, in 2017 and 2019. …”
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Feeding the fire: Annual grass invasion facilitates modeled fire spread across Inland Northwest forest‐mosaic landscapes by Claire M. Tortorelli, John B. Kim, Nicole M. Vaillant, Karin Riley, Alex Dye, Ty C. Nietupski, Kevin C. Vogler, Rebecca Lemons, Michelle Day, Meg A. Krawchuk, Becky K. Kerns

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Attention-Based Wildland Fire Spread Modeling Using Fire-Tracking Satellite Observations by Yufei Zou, Mojtaba Sadeghi, Yaling Liu, Alexandra Puchko, Son Le, Yang Chen, Niels Andela, Pierre Gentine

Subjects: “…wildfire modeling…”
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Applying Bayesian Models to Reduce Computational Requirements of Wildfire Sensitivity Analyses by Ujjwal KC, Jagannath Aryal, K. Shuvo Bakar, James Hilton, Rajkumar Buyya

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Wildfire Risk in the Complex Terrain of the Santa Barbara Wildland–Urban Interface during Extreme Winds by Katelyn Zigner, Leila M. V. Carvalho, Charles Jones, John Benoit, Gert-Jan Duine, Dar Roberts, Francis Fujioka, Max Moritz, Nic Elmquist, Rob Hazard

Subjects: “…wildfire modeling…”
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2D Simplified Wildfire Spreading Model in Python: From NumPy to CuPy by Daniel San Martin, Claudio Torres

Subjects: “…Wildfire Modeling…”
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Megafires in a Warming World: What Wildfire Risk Factors Led to California’s Largest Recorded Wildfire by Kevin Varga, Charles Jones, Anna Trugman, Leila M. V. Carvalho, Neal McLoughlin, Daisuke Seto, Callum Thompson, Kristofer Daum

Subjects: “…wildfire modeling…”
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GLOBALLY-APPLICABLE PREDICTIVE WILDFIRE MODEL   A TEMPORAL–SPATIAL GIS BASED RISK ANALYSIS USING DATA DRIVEN FUZZY LOGIC FUNCTIONS by G. van den Dool, G. van den Dool

“…This study (van den Dool, 2017) is a proof of concept for a global predictive wildfire model, in which the temporal–spatial characteristics of wildfires are placed in a Geographical Information System (GIS), and the risk analysis is based on data-driven fuzzy logic functions. …”
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Assessing cross-boundary wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area by Michele Salis, Liliana Del Giudice, Fermin Alcasena-Urdiroz, Roghayeh Jahdi, Bachisio Arca, Grazia Pellizzaro, Carla Scarpa, Pierpaolo Duce

Subjects: “…wildfire modeling…”
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Analysis of methods for assimilating fire perimeters into a coupled fire-atmosphere model by Adam K. Kochanski, Kathleen Clough, Angel Farguell, Derek V. Mallia, Jan Mandel, Kyle Hilburn

Subjects: “…wildfire modeling…”
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Georeferencing Oblique Aerial Wildfire Photographs: An Untapped Source of Fire Behaviour Data by Henry Hart, Daniel D. B. Perrakis, Stephen W. Taylor, Christopher Bone, Claudio Bozzini

Subjects: “…wildfire modelling…”
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Missing Climate Feedbacks in Fire Models: Limitations and Uncertainties in Fuel Loadings and the Role of Decomposition in Fine Fuel Accumulation by Erin J. Hanan, Maureen C. Kennedy, Jianning Ren, Morris C. Johnson, Alistair M. S. Smith

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