Patent ID: 11966670
Assignee: TERRAFUSE, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The method of claim 1, further comprising synthetically generating the historical data on wildfire spread events, comprising:
obtaining observational data, wherein the observational data includes at least one source of physical data, comprising one or more sensors sensing the physical data;
obtaining, by one or more computing devices or storage devices that are connected through one or more networks, numeric simulation data;
fusing, by one or more computing devices, the observation data and the numeric simulation data, comprising:
preprocessing the observational data and the numeric simulation data to remove inconsistencies of the observational data and the numeric simulation data;
processing the preprocessed observational data and the numeric simulation data to extract interpretable structures and patterns within that data using ground truth and labeled information to create domain interpretable data;
normalizing the preprocessed observation data, the numeric simulation data, and the domain interpretable data layers;
increasing a resolution of a gridding of the normalized preprocessed observation data, numeric simulation data, and domain interpretable data layers;
training a spatial-temporal emulator model for a physical numerical model using the normalized preprocessed observation data, the numeric simulation data, and the domain interpretable data;
incorporating prior knowledge of the physical system into the spatial-temporal emulator model; wherein

the method further comprising synthetically generating, by one or more computing devices, the historical data on wildfire spread events based on the trained spatial-temporal emulator model, and inputs that include historical climate data.