English
Arabic
Chinese (Simplified)
Dutch
Esperanto
French
German
Greek
Italian
Japanese
Korean
Portuguese
Russian
Spanish
UrduA new tool, REBURN, can simulate large forest landscapes and wildfire dynamics over decades or centuries under different wildfire management strategies.
Tag: wildfire modeling
Forecasting Wildfires in an Unprecedented Time
With wildfires becoming stronger and more frequent, there is a need to predict when and how the next wildfire might occur. By examining statistical data of California’s wildfires dating back more than 60 years, Michael Mann, an associate professor of…
Fighting Fire with Data Science
UC San Diego has announced a joint appointment with Los Alamos National Laboratory with the appointment of Senior Scientist Rodman Linn to a three-year position with the Halıcıoğlu Data Science Institute (HDSI). This is the first joint appointment program between Los Alamos and a UC campus.
Dryer, warmer night air is making some Western wildfires more active at night
Firefighters report that Western wildfires are starting earlier in the morning and dying down later at night, hampering their ability to recover and regroup before the next day’s flareup. A study shows why: The drying power of nighttime air over much of the Western U.S. has increased dramatically in the past 40 years.
Reducing Wildfire Risks for Better Management and Resource Allocation
As wildfires become deadlier, larger and more expensive, there is strong interest in better risk governance. Managing future wildfire risk requires an interface between human decision processes and knowledge about climate trends related to fire, as well as humans’ abilities to anticipate wildfire potential and mitigation approaches are critical. Several presentations at the 2019 Society for Risk Analysis (SRA) Annual Meeting will explore analyses of past fire seasons, projections for the future and approaches for decision making aimed at mitigating risk.