This work won a federal Small Business Innovation Research grant. This project amounted to $1.3 million in funding to improve the forecasting of airborne volcanic ash. The model also resulted in a patent for UAF on this project.
The patent discloses methods and systems of rapidly validating accuracy in particle cloud forecast transport and dispersion models:
- An example method can comprise accessing a forecast model of a volcanic ash cloud.
- An example method can comprise generating first data based at least on the forecast model. The first data can have at least one fewer spatial dimension than the second data associated with the forecast model.
- An example method can comprise determining accuracy of the forecast model based at least on measurements of at least a portion of the volcanic ash cloud.
- An example method can comprise refining the forecast model based at least on the determined accuracy, thereby improving a representation of the volcanic ash cloud.