ARISE is a digital platform for hazard and infrastructure resilience decision support across the southeastern United States, supported through the Science and Technology for Applied Regional Solutions (STARS) program at Oak Ridge National Laboratory.
This platform is a research prototype. Capabilities and content are actively being developed and expanded, with new data and features added as they become available. This platform is a research prototype. Capabilities and content are actively being developed and expanded.
ARISE aims to deliver state-of-the-art environmental information with transparency, efficiency, and credibility, to help build resilience across the Southeast.
An interactive, easy-to-navigate online portal that provides straightforward graphical illustrations and textual interpretations at varying granularities, from individual locations to cities, counties, watersheds, and states.
Integration of all available downscaled and bias-corrected simulations and gridded observations to support cross-sectoral analyses and robust uncertainty quantification.
Transformation of data into the relevant metrics stakeholders require for decision-making across cities, counties, watersheds, and states, alongside the standard set of variables from the models' output.
Project PI and scientist in the Computing and Computational Sciences Directorate at ORNL. He leads high-resolution Earth system modeling and sub-seasonal to seasonal predictability research, and contributes to ORNL's foundation model ORBIT for Earth system predictability.
Lead software engineer for the ARISE platform, responsible for the end-to-end design and development of the web application, data services, and cloud deployment.
Postdoctoral RA in the Computational Sciences and Engineering Division at ORNL. Her research develops advanced data science methods for modeling global socio-environmental processes — spanning food security, sustainability, and extreme weather stress impacts.