Počet záznamů: 1  

Recent Advances and Applications of WRF-SFIRE

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    0437005 - ÚI 2015 RIV DE eng J - Článek v odborném periodiku
    Mandel, Jan - Amram, S. - Beezley, J.D. - Kelman, G. - Kochanski, A. - Kondratenko, V.Y. - Lynn, B.H. - Regev, O. - Vejmelka, Martin
    Recent Advances and Applications of WRF-SFIRE.
    Natural Hazards and Earth System Sciences. Roč. 14, č. 10 (2014), s. 2829-2845. ISSN 1561-8633. E-ISSN 1684-9981
    Grant ostatní: National Science Foundation(US) AGS-0835579 and DMS-1216481; NASA(US) NNX12AQ85G and NNX13AH9G.
    Institucionální podpora: RVO:67985807
    Klíčová slova: fire modeling * forecasting * atmospheric modeling * fuel moisture * remote sensing * chemical transport models
    Kód oboru RIV: IN - Informatika
    Impakt faktor: 1.735, rok: 2014

    Coupled atmosphere-fire models can now generate forecasts in real time, owing to recent advances in computational capabilities. WRF-SFIRE consists of the Weather Research and Forecasting (WRF) model coupled with the fire-spread model SFIRE. This paper presents new developments, which were introduced as a response to the needs of the community interested in operational testing of WR-SFIRE. These developments include a fuel-moisture model and a fuel-moisture-data-assimilation system based on the Remote Automated Weather Stations (RAWS) observations, allowing for fire simulations across landscapes and time scales of varying fuel-moisture conditions. The paper also describes the implementation of a coupling with the atmospheric chemistry and aerosol schemes in WRF-Chem, which allows for a simulation of smoke dispersion and effects of fires on air quality. There is also a data-assimilation method, which provides the capability of starting the fire simulations from an observed fire perimeter, instead of an ignition point. Finally, an example of operational deployment in Israel, utilizing some of the new visualization and datamanagement tools, is presented.
    Trvalý link: http://hdl.handle.net/11104/0240606

     
     
Počet záznamů: 1  

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