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

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

2007-12-24

arxiv.org/abs/0712.3965v2

IEEE Control Systems Magazine, 29, Issue 3, June 2009, 47-65

Physics

Atmospheric and Oceanic Physics

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

Scientific paper

10.1109/MCS.2009.932224

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.

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