Towards predictive data-driven simulations of wildfire spread – Part II: Ensemble Kalman Filter for the state estimation of a front-tracking simulator of wildfire spread
نویسندگان
چکیده
منابع مشابه
Towards predictive simulation of wildfire spread using a reduced-cost Ensemble Kalman Filter based on Polynomial Chaos approximation
The sequential correction of a fire spread model parameters is performed via the assimilation of airborne-like fire front observations in order to improve the simulation and forecast of the fire propagation. An Ensemble Kalman Filter (EnKF) is applied to reduce uncertainties in the atmospheric and vegetation parameters for the Rate Of Spread (ROS) model. The non-linear relation between the para...
متن کاملDynamic Data Driven Application System for Wildfire Spread Simulation
Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...
متن کاملDYNAMIC DATA DRIVEN APPLICATION SYSTEM FOR WILDFIRE SPREAD SIMULATION by
Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...
متن کاملData driven computing by the morphing fast Fourier transform ensemble Kalman filter in epidemic spread simulations
The FFT EnKF data assimilation method is proposed and applied to a stochastic cell simulation of an epidemic, based on the S-I-R spread model. The FFT EnKF combines spatial statistics and ensemble filtering methodologies into a localized and computationally inexpensive version of EnKF with a very small ensemble, and it is further combined with the morphing EnKF to assimilate changes in the posi...
متن کاملTowards a Dynamic Data Driven Application System for Wildfire Simulation
We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) for short-range forecast of wildfire behavior from real-time weather data, images, and sensor streams. The system should change the forecast when new data is received. The basic approach is to encapsulate the model code and use an ensemble Kalman filter in time-space. Several variants of the ensemble Kalman...
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ژورنال
عنوان ژورنال: Natural Hazards and Earth System Sciences
سال: 2015
ISSN: 1684-9981
DOI: 10.5194/nhess-15-1721-2015