Demonstrating the Validity of a Wildfire DDDAS
نویسندگان
چکیده
We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) for short-range forecast of weather and wildfire behavior from real-time weather data, images, and sensor streams. The system changes the forecast as new data is received. We encapsulate the model code and apply an ensemble Kalman filter in timespace with a highly parallel implementation. In this paper, we discuss how we will demonstrate that our system works using a DDDAS testbed approach and data collected from an earlier fire.
منابع مشابه
Dynamic Data Driven Application System for Wildfire Spread Simulation
Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...
متن کاملDYNAMIC DATA DRIVEN APPLICATION SYSTEM FOR WILDFIRE SPREAD SIMULATION by
Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...
متن کاملForests and rangelands? wildfire risk zoning using GIS and AHP techniques
Wildfire in forests and rangelands, apart from its initiating causes, is considered as an ecological disaster. Zoning natural areas according to their susceptibility to fire helps to put off operations and reduces catastrophic losses caused through a wise management plan. In this study, the zoning map of wildfire risk in forest and rangeland areas has been produced using GIS, Analytical Hierarc...
متن کاملA Data-Driven Model for Large Wildfire Behaviour Prediction in Europe
The European Forest Fire Information System (EFFIS) has been established by the Joint Research Centre (JRC) and the Directorate General for Environment (DG ENV) of the European Commission (EC) in close collaboration with the Member States and neighbour countries. EFFIS is intended as complementary system to national and regional systems in the countries, providing harmonised information require...
متن کاملTowards policies for data insertion in dynamic data driven application systems: a case study sudden changes in wildland fire
We have applied the Dynamic Data Driven Application System (DDDAS) methodology to predict wildfire propagation. Our goal is to build a system that dynamically adapts to sudden changes in environmental conditions. For this purpose, we are building a parallel wildfire prediction method, which is able to assimilate real-time data to be injected in the prediction process at execution time. This dat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006