Abstracts are closed! The deadline was 8 September 2021 at 11:59 PM EDT.
The First Symposium on Earth Prediction Innovation and Community Modeling is sponsored by the American Meteorological Society and organized by the AMS Committee on Weather Analysis and Forecasting.
The Symposium on Earth Prediction Innovation and Community Modeling provides an opportunity for the broad research community to share information about their latest developments and how these innovations are advancing the capabilities of community modeling systems. Topics in this symposium will include discussion on the motivation and process by which the community can work together to explore, validate, and integrate all aspects important to advancing weather and climate prediction. This open innovation approach spans everything from observation impact, model code, and software engineering to experimental design and computing architectures.
Stakeholders in public, private and academic sectors are encouraged to discuss how contributions to advance community modeling systems, such as the Unified Forecast System (UFS), should be evaluated using the Earth Prediction Innovation Center (EPIC) and the range of criteria that should be met as innovations advance though subsequent readiness levels. The community is invited to share ideas and experiences on both the development and operational forecasting side, as well as how the UFS and suite of National Center for Atmospheric Research (NCAR) modeling systems can serve as educational resources in the classroom.
In January 2019, the NCAR and the National Oceanic and Atmospheric Administration (NOAA) established a Memorandum of Agreement to co-develop a common modeling infrastructure that would enable broader community engagement in advancing the Nation’s weather and climate modeling capabilities for operational and research applications. Sharing infrastructure opens the door to researchers from academia, as well as research laboratories and national centers to collaborate on developing a community modeling resource. By sharing infrastructure, research innovations are more readily available across these modeling systems, enabling access and the ability to apply these innovations in a variety of contexts and conduct extensive testing.
The overall collaborative process benefits the entire research-to-operations value chain by tapping into a broader wealth of expertise to advance numerical guidance skill, thereby enabling stakeholders to meet their respective mission requirements.
For additional information, please contact the program chairs: Dr. Neil Jacobs (firstname.lastname@example.org), Dr. Louisa Bogar Nance (email@example.com), Dr. Jose-Henrique Alves (Henrique.Alves@noaa.gov), and Dr. Hendrik L. Tolman (Hendrik.Tolman@NOAA.gov).