首页> 外文会议>International Conference on Computational Science(ICCS 2005) pt.2; 20050522-25; Atlanta, GA(US) >Towards a Dynamic Data Driven Application System for Wildfire Simulation
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Towards a Dynamic Data Driven Application System for Wildfire Simulation

机译:转向用于野火仿真的动态数据驱动应用系统

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We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) for short-range forecast of wildfire behavior from real-tune weather data, images, and sensor streams. The system should change the forecast when new data is received. The basic approach is to encapsulate the model code and use an ensemble Kalman filter in time-space. Several variants of the ensemble Kalman filter are presented, for out-of-sequence data assimilation, hidden model states, and highly nonlinear problems. Parallel implementation and web-based visualization are also discussed.
机译:我们报告了一项正在进行的工作,即建立动态数据驱动的应用系统(DDDAS),以根据实时气象数据,图像和传感器流对野火行为进行短期预测。收到新数据后,系统应更改预测。基本方法是封装模型代码,并在时空中使用集成卡尔曼滤波器。提出了集合卡尔曼滤波器的几种变体,用于乱序数据同化,隐藏模型状态和高度非线性问题。还讨论了并行实现和基于Web的可视化。

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