- Conduct Wildfire Simulations
- Optimize Weather Stations
- Weather Station Application
- Open Source Materials
- Pilot Upper-Air Profiler
Dr. Chris Lautenberger presents the latest features and functions of the PyreCast near-term fire forecasting platform developed as part of the California Energy Commission EPIC program funded Pyregence Project (#EPC-18-026).
Improving wildfire behavior forecasting requires a better understanding of weather conditions and fuel loads.
This team will ensure that utility companies and government agencies have the fire weather forecasts they need to make life-saving decisions. Using machine learning and wildfire simulation techniques, our scientists are evolving our understanding of the relationship between weather conditions and wildfires.
To understand fire behavior, you must first understand fuel loads. This team is improving the accuracy of fire behavior forecasting by increasing our understanding of the fuels available on the forest floor. Our scientists will map the current amount, types, and distribution of fuels, and project future fuel loads over the next 10–20 years. We’re also conducting laboratory experiments to better understand how different sizes and types of fuels burn under varying weather conditions.
This team will ensure that utility companies and government agencies have the fire weather forecasts they need to make life-saving decisions. Using machine learning and wildfire simulation techniques, our scientists are evolving our understanding of the relationship between weather conditions and wildfires.
To understand fire behavior, you must first understand fuel loads. This team is improving the accuracy of fire behavior forecasting by increasing our understanding of the fuels available on the forest floor. Our scientists will map the current amount, types, and distribution of fuels, and project future fuel loads over the next 10–20 years. We’re also conducting laboratory experiments to better understand how different sizes and types of fuels burn under varying weather conditions.
This team will ensure that utility companies and government agencies have the fire weather forecasts they need to make life-saving decisions. Using machine learning and wildfire simulation techniques, our scientists are evolving our understanding of the relationship between weather conditions and wildfires.
To understand fire behavior, you must first understand fuel loads. This team is improving the accuracy of fire behavior forecasting by increasing our understanding of the fuels available on the forest floor. Our scientists will map the current amount, types, and distribution of fuels, and project future fuel loads over the next 10–20 years. We’re also conducting laboratory experiments to better understand how different sizes and types of fuels burn under varying weather conditions.
Our next-generation models will more accurately predict wildfire risk for the next week and through the end of the century, taking into account climate change.
Today’s fire forecasting models are decades old and unable to predict how fires will behave under current conditions. This team is working to improve predictions of where active fires will spread, when weather conditions exist that indicate increased fire danger, and where new destructive fires may occur. These forecasts will be delivered to every stakeholder who needs them, so that informed decisions can be made to protect people, property, and infrastructure.
This team is creating next-generation models to simulate wildfire occurrence, size, severity, and smoke emissions through 2099. In order to support policies that promote resilience in the face of climate change, the team will develop a range of future wildfire risk projections that take into account different climate change scenarios, various options for managing California’s forests, and ways in which the state’s land may be developed.
Today’s fire forecasting models are decades old and unable to predict how fires will behave under current conditions. This team is working to improve predictions of where active fires will spread, when weather conditions exist that indicate increased fire danger, and where new destructive fires may occur. These forecasts will be delivered to every stakeholder who needs them, so that informed decisions can be made to protect people, property, and infrastructure.
This team is creating next-generation models to simulate wildfire occurrence, size, severity, and smoke emissions through 2099. In order to support policies that promote resilience in the face of climate change, the team will develop a range of future wildfire risk projections that take into account different climate change scenarios, various options for managing California’s forests, and ways in which the state’s land may be developed.
Today’s fire forecasting models are decades old and unable to predict how fires will behave under current conditions. This team is working to improve predictions of where active fires will spread, when weather conditions exist that indicate increased fire danger, and where new destructive fires may occur. These forecasts will be delivered to every stakeholder who needs them, so that informed decisions can be made to protect people, property, and infrastructure.
This team is creating next-generation models to simulate wildfire occurrence, size, severity, and smoke emissions through 2099. In order to support policies that promote resilience in the face of climate change, the team will develop a range of future wildfire risk projections that take into account different climate change scenarios, various options for managing California’s forests, and ways in which the state’s land may be developed.
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