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1
Application of LiDAR Derived Fuel Cells to Wildfire Modeling at Laboratory Scale
Published 2023-10-01Get full text
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2
Visualization of Prediction Methods for Wildfire Modeling Using CiteSpace: A Bibliometric Analysis
Published 2023-06-01Get full text
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3
Leveraging national forestry data repositories to advocate wildfire modeling towards simulation-driven risk assessment
Published 2024-01-01“…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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4
Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models
Published 2023-12-01“…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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5
Characterizing the Role of Moisture and Smoke on the 2021 Santa Coloma de Queralt Pyroconvective Event Using WRF‐Fire
Published 2023-05-01Subjects: Get full text
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6
Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
Published 2020-07-01Subjects: “…wildfire modeling…”
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7
Predicting Fire Propagation across Heterogeneous Landscapes Using WyoFire: A Monte Carlo-Driven Wildfire Model
Published 2020-12-01“…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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8
Feeding the fire: Annual grass invasion facilitates modeled fire spread across Inland Northwest forest‐mosaic landscapes
Published 2023-02-01Subjects: Get full text
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9
Attention-Based Wildland Fire Spread Modeling Using Fire-Tracking Satellite Observations
Published 2023-07-01Subjects: “…wildfire modeling…”
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10
Applying Bayesian Models to Reduce Computational Requirements of Wildfire Sensitivity Analyses
Published 2023-03-01Subjects: Get full text
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11
Wildfire Risk in the Complex Terrain of the Santa Barbara Wildland–Urban Interface during Extreme Winds
Published 2022-09-01Subjects: “…wildfire modeling…”
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12
2D Simplified Wildfire Spreading Model in Python: From NumPy to CuPy
Published 2023-05-01Subjects: “…Wildfire Modeling…”
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13
Megafires in a Warming World: What Wildfire Risk Factors Led to California’s Largest Recorded Wildfire
Published 2022-01-01Subjects: “…wildfire modeling…”
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14
Assessing cross-boundary wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area
Published 2023-09-01Subjects: “…wildfire modeling…”
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15
Analysis of methods for assimilating fire perimeters into a coupled fire-atmosphere model
Published 2023-11-01Subjects: “…wildfire modeling…”
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16
Georeferencing Oblique Aerial Wildfire Photographs: An Untapped Source of Fire Behaviour Data
Published 2021-10-01Subjects: “…wildfire modelling…”
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17
Missing Climate Feedbacks in Fire Models: Limitations and Uncertainties in Fuel Loadings and the Role of Decomposition in Fine Fuel Accumulation
Published 2022-03-01Subjects: Get full text
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18
Fifty years of progress in wildland fire modelling: from empirical to fully physical CFD models
Published 2022-10-01Subjects: Get full text
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19
Incorporating Stochastic Wind Vectors in Wildfire Spread Prediction
Published 2023-10-01“…The stochastic nature of environmental factors that govern the behavior of fire, such as wind and fuel, exposes wildfire modeling to a degree of uncertainty. In order to produce more realistic wildfire predictions, it is, therefore, necessary to incorporate these uncertainties within wildfire models in a way that reflects the influence of environmental stochasticity on wildfire propagation. …”
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20
Front Shape Similarity Measure for Shape-Oriented Sensitivity Analysis and Data Assimilation for Eikonal Equation
Published 2018-01-01“…The use of a robust front shape similarity measure paves the way toward the direct assimilation of infrared images and is a valuable asset in the perspective of data-driven wildfire modeling.…”
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