Description:

Environmental information processing continues to become more challenging with the exponential growth and complexity of data.  Downlinking and transmitting terabytes of data is no longer a viable solution to deliver data at the speed of decision relevance. Edge computing and processing, closer to where the data are created, is one solution to solve this voluminous data flow challenge.  To synchronize across complex needs and services, the power of edge computing can’t be limited to specific systems, sensors, or devices. Organizations need to address edge computing as something that is open and API-driven to enable integration and interoperability. Edge computing optimizes data flows at an enterprise level to more rapidly get assimilated into numerical models or used directly for real-time decisions at the tactical level. 

This session will consist of discussions on the exploration of edge-based computing and transformation of edge data that must occur. We invite data scientists, data and processing engineers, and other practitioners to explore use cases on how edge computing can support critical environmental information missions including:  

• Onboard satellite data processing: technologies and use cases of federal or commercial satellite data by pre-processing onboard and downlinking only the data needed 
• Next generation weather processing at the edge: technologies and use cases that demonstrate edge computing to optimize forward-deployed forecaster use (e.g., Incident Meteorologist) of large quantities of satellite, radar, and model data. 
• Disaster response at the edge: when disasters strike, emergency managers require uninterrupted connection to large volumes of data.