• Corpus ID: 55399804

Data assimilation of fuel moisture in WRF-SFIRE

  title={Data assimilation of fuel moisture in WRF-SFIRE},
  author={Martin Vejmelka and Adam K. Kochanski and Jan Mandel},
  journal={arXiv: Atmospheric and Oceanic Physics},
Fuel moisture is a major influence on the behavior of wildland fires and an important underlying factor in fire risk. We present a method to assimilate spatially sparse fuel moisture observations from remote automatic weather stations (RAWS) into the moisture model in WRF- SFIRE. WRF-SFIRE is a coupled atmospheric and fire behavior model which simulates the evolution of fuel moisture in idealized fuel species based on atmospheric state. The proposed method uses a modified trend surface model to… 

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