Data Assimilation for Wildland Fires: Ensemble Kalman filters in coupled atmosphere-surface models

Abstract

Two wildland fire models are described, one based on reaction-diffusion-convection partial differential equations, and one based on semi-empirical fire spread by the level let method. The level set method model is coupled with the Weather Research and Forecasting (WRF) atmospheric model. The regularized and the morphing ensemble Kalman filter are used for data assimilation.

Minor revision, except description of the model expanded. 29 pages, 9 figures, 53 references

References in corpus (3)

• A wildland fire model with data assimilation
• On the Convergence of the Ensemble Kalman Filter
• Morphing Ensemble Kalman Filters

Cited by in corpus (20)

• Coupled atmosphere-wildland fire modeling with WRF-Fire
• The Ensemble Kalman Filter: A Signal Processing Perspective
• Real time simulation of 2007 Santa Ana fires
• Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire - Atmosphere DDDAS
• 4DVAR by ensemble Kalman smoother
• Simulation of the 2009 Harmanli fire (Bulgaria)
• Efficient Wildland Fire Simulation via Nonlinear Model Order Reduction
• Evaluation of WRF-Sfire Performance with Field Observations from the FireFlux experiment
• Data Assimilation of Satellite Fire Detection in Coupled Atmosphere-Fire Simulation by WRF-SFIRE
• Experimental Design of a Prescribed Burn Instrumentation
• Modelling turbulence effects in wildland fire propagation by the randomized level-set method
• Spectral diagonal ensemble Kalman filters
• WRF fire simulation coupled with a fuel moisture model and smoke transport by WRF-Chem
• Ignition from a Fire Perimeter in a WRF Wildland Fire Model
• Assimilation of fire perimeters and satellite detections by minimization of the residual in a fire spread model
• A wildland fire modeling and visualization environment
• Simulating surface height and terminus position for marine outlet glaciers using a level set method with data assimilation
• An overview of the coupled atmosphere-wildland fire model WRF-Fire
• Coupled Atmosphere-Fire Simulations of Fireflux: Impacts of Model Resolution on Model Performance
• Data Likelihood of Active Fires Satellite Detection and Applications to Ignition Estimation and Data Assimilation