*The term “cyberinfrastructure” is used to describe the research environments that support advanced data acquisition, data storage, data management, data integration, data mining, data visualization, and other computing and information processing services distributed over the Internet beyond the scope of a single institution.
Data to Knowledge
The WIFIRE team harnesses emerging AI techniques to offer a novel way to approach spatial heterogeneity and the upgrading of data, thereby enabling the ability to tailor combinations of available data for specific applications and models.
Our multidisciplinary team is pioneering the co-production of wildfire model refinement and application process, bringing fire practitioners and scientists together to improve the utility of next-generation wildfire modeling. This QUIC-Fire model was developed at Los Alamos National Laboratory.
Our Model Commons makes scientific models useful for modelers - our approach involves exposing model parameters relevant to decisions that can capture human intervention (e.g., regarding fire management).