A flexible and open cyberinfrastructure is needed for our community to address the challenges we face in advancing Environmental System Science (ESS). Several of these challenges are highlighted in the image below. The working groups strive to enable all ESS projects, big or small, University or DOE-led to utilize common cyberinfrastructure tools and workflows in a culture of Open Science.
Incredible technological changes are driving key aspects of the challenges highlighted in the figure, and how we address them as a community, including
- New instrumentation/data acquisition capabilities such as distributed & fiber sensing, drones/remote sensing, 5G/satellite internet are changing the flow and management of data.
- New technologies are available, such as Machine Learning, Big Data, Cloud & Edge Computing, Internet of Things, next generation CPU-GPU compute architectures.
- Exascale computing is currently underutilized in mechanistic simulations, and there is limited use within ML workflows in our community.
- Open Science by design should be embraced, for example, it will help support Interagency efforts to develop model testbeds require broader data sharing & model co-development
Join us in addressing these challenges as a community.