Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire - Atmosphere DDDAS
arXiv:1203.2230 · doi:10.1016/j.procs.2012.04.119
Abstract
We present a methodology to change the state of the Weather Research Forecasting (WRF) model coupled with the fire spread code SFIRE, based on Rothermel's formula and the level set method, and with a fuel moisture model. The fire perimeter in the model changes in response to data while the model is running. However, the atmosphere state takes time to develop in response to the forcing by the heat flux from the fire. Therefore, an artificial fire history is created from an earlier fire perimeter to the new perimeter, and replayed with the proper heat fluxes to allow the atmosphere state to adjust. The method is an extension of an earlier method to start the coupled fire model from a developed fire perimeter rather than an ignition point. The level set method is also used to identify parameters of the simulation, such as the spread rate and the fuel moisture. The coupled model is available from openwfm.org, and it extends the WRF-Fire code in WRF release.
arXiv commentICCS 2012, 10 pages; corrected some DOI typesetting in the references
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Cited by in corpus (5)
- Data assimilation of dead fuel moisture observations from remote automated weather stations
- Data Assimilation of Satellite Fire Detection in Coupled Atmosphere-Fire Simulation by WRF-SFIRE
- Experimental Design of a Prescribed Burn Instrumentation
- Assimilation of fire perimeters and satellite detections by minimization of the residual in a fire spread model
- Data assimilation of fuel moisture in WRF-SFIRE