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Current and future patterns of global wildfire based on deep neural networks

Global climate change and extreme weather has a profound impact on wildfire, and it is of great importance to explore wildfire patterns in the context of global climate change for wildfire prevention and management. In this paper, a wildfire spatial prediction model based on…
Person:
Year: 2024
Type: Document
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Fire Occurrence, Fire Prevention, Models, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: fire management, GFED - Global Fire Emissions Database, convolutional neural network, area burned

A reduction in rainfall associated with smoke and sugar-cane fires - an inadvertent weather modification?

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Person:
Year: 1968
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fuels, Prescribed Fire
Region(s): International
Keywords: agriculture, Australia, chemistry, cropland fires, ecosystem dynamics, litter, microclimate, organic matter, population density, precipitation, Queensland, Saccharum officinarum, seasonal activities, size classes, smoke effects, statistical analysis, weather observations, wind