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作 者:Yujue LIU Shiguang MIAO Hanbin ZHANG
机构地区:[1]Institute of Urban Meteorology,China Meteorological Administration,Beijing 100089 [2]Key Laboratory of Urban Meteorology,China Meteorological Administration,Beijing 100089
出 处:《Journal of Meteorological Research》2024年第4期826-843,共18页气象学报(英文版)
基 金:Supported by the National Key Research and Development Program of China (2022YFC3004105);National Natural Science Foundation of China (42275201)。
摘 要:This paper describes a fire forecast system—Weather Research and Forecasting-Fire(WRF-Fire)—that is employed to simulate a real wildfire case in Xichang,Sichuan Province,Southwest China on 30 March 2020 at a 100-m resolution over the fire area,in order to provide a fine representation of the terrain and fuel heterogeneities and explicitly resolve the atmospheric turbulence.Four sensitivity experiments were conducted to analyze the impacts of atmospheric model grid spacing and fire–atmosphere interaction on simulated meteorological fields and fire behavior.The results indicate that finer horizontal grid spacing in the atmospheric model improves the accuracy of wind,temperature,and moisture simulations in the near surface layer.Especially,it can better describe local wind field characteristics,capture microscale wind speed fluctuations,and produce more significant effect from fire–atmosphere interaction.The mass and energy released by the fire model and its feedback to the atmospheric model exhibit enhanced heterogeneous characteristics.The simulated fire area aligns well with the observation,with KAPPA coefficient(KC)of 0.56–0.59 and spatial correlation coefficient(SC) of 0.52–0.59.For this real case,the influence of heterogeneous land surface on the fire behavior is much greater than the atmosphere–fire interaction.The study suggests that WRFFire holds high potential as a real wildfire simulation tool,offering a new and feasible approach for fire prediction.
关 键 词:Weather Research and Forecasting-Fire WILDFIRE coupled fire–atmosphere modeling fire behavior large-eddy simulation(LES)
分 类 号:X932[环境科学与工程—安全科学]
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