• Corpus ID: 55399804

Data assimilation of fuel moisture in WRF-SFIRE

@article{Vejmelka2013DataAO,
  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},
  year={2013}
}
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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References

SHOWING 1-10 OF 16 REFERENCES
WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model
AbstractA wildland fire-behavior module, named WRF-Fire, was integrated into the Weather Research and Forecasting (WRF) public domain numerical weather prediction model. The fire module is a surface
WRF fire simulation coupled with a fuel moisture model and smoke transport by WRF-Chem
We describe two recent additions to WRF coupled with a fire spread model. Fire propagation is strongly dependent on fuel moisture, which in turn depends on the history of the atmosphere. We have
Description of a coupled atmosphere–fire model
This paper describes a coupled fire-atmosphere model that uses a sophisticated high-resolution non- hydrostatic numerical mesoscale model to predict the local winds which are then used as input to
Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011
Abstract. We describe the physical model, numerical algorithms, and software structure of a model consisting of the Weather Research and Forecasting (WRF) model, coupled with the fire-spread model
Simulation of Coupled Fire/Atmosphere Interaction with the MesoNH-ForeFire Models
Simulating interaction between forest fire and atmospheric processes requires a highly detailed and computationally intensive model. Processing this type of simulations in wildland fires forbids
NORTH AMERICAN REGIONAL REANALYSIS
In 1997, during the late stages of production of NCEP–NCAR Global Reanalysis (GR), exploration of a regional reanalysis project was suggested by the GR project's Advisory Committee, “particularly if
The 2007 Southern California Wildfires: Lessons in Complexity
The 2007 wildfire season in southern California burned over 1,000,000 ac ( 400,000 ha) and included several megafires. We use the 2007 fires as a case study to draw three major lessons about
Introduction To Wildland Fire
FIRE ENVIRONMENT. Wildland Fire Fundamentals. Fire Behavior. Wildland Fuels. Fire Weather. FIRE REGIME. Fire Ecology. Fire and Culture. Administration of Fire Regimes. FIRE MANAGEMENT. Programs for
Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches
TLDR
With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory.
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