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Sensitivity of Simulated Fire‐Generated Circulations to Fuel Characteristics During Large Wildfires.
- Published in:
- Journal of Geophysical Research. Atmospheres, 2024, v. 129, n. 6, p. 1, doi. 10.1029/2023JD040548
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- Article
Deep Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries Using VIIRS Satellite Data.
- Published in:
- Remote Sensing, 2024, v. 16, n. 4, p. 715, doi. 10.3390/rs16040715
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- Article
Brief communication: The Lahaina Fire disaster – how models can be used to understand and predict wildfires.
- Published in:
- Natural Hazards & Earth System Sciences, 2024, v. 24, n. 1, p. 47, doi. 10.5194/nhess-24-47-2024
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- Article
Brief communication: The Lahaina Fire disaster: How models can be used to understand and predict wildfires.
- Published in:
- Natural Hazards & Earth System Sciences Discussions, 2023, p. 1, doi. 10.5194/nhess-2023-164
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- Publication type:
- Article
The Role of Fuel Characteristics and Heat Release Formulations in Coupled Fire-Atmosphere Simulation.
- Published in:
- Fire (2571-6255), 2023, v. 6, n. 7, p. 264, doi. 10.3390/fire6070264
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- Article
Toward a Better Understanding of Wildfire Behavior in the Wildland‐Urban Interface: A Case Study of the 2021 Marshall Fire.
- Published in:
- Geophysical Research Letters, 2023, v. 50, n. 10, p. 1, doi. 10.1029/2022GL101557
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- Article
A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire Surface Fuel Mapping.
- Published in:
- Fire (2571-6255), 2023, v. 6, n. 2, p. 36, doi. 10.3390/fire6020036
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- Article