Second Symposium on Community Modeling and Innovation

Abstract Information

Abstracts are closed! The deadline was 31 August 2022 at 11:59 PM EDT.

Abstract Fee and Author Instructions
All presenters must also register for the meeting.

View the Program

The Second Symposium on Community Modeling and Innovation (formerly Symposium on Earth Prediction Innovation and Community Modeling) is sponsored by the American Meteorological Society Committee on Weather Analysis and Forecasting.

The Opportunity

The Second Symposium on Community Modeling and Innovation provides an opportunity for the broad research community to share information about their latest developments and how these innovations advance community modeling systems' capabilities. 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 necessary 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 community modeling initiatives and contributions to advance community modeling systems, such as the Unified Forecast System (UFS), the National Oceanic and Atmospheric Administration (NOAA) Earth Prediction Innovation Center (EPIC), can contribute to improving weather and climate forecasting products and services. We invite the community to share ideas and experiences on the research and development of Earth system models and their applications in operational forecasting. We also welcome abstracts discussing how community models, such as the UFS and the suite of National Center for Atmospheric Research (NCAR) modeling systems, can serve as educational resources in the classroom.


The AMS Annual Meeting in 2022 featured the First Symposium on Earth Prediction Innovation and Community Modeling, coordinated by Weather Enterprise and Earth Sciences Community members. The Symposium became an opportunity for the broad research community to share information about the latest developments and how innovations advance community models for Earth prediction applications.

In January 2019, the NCAR and 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 and 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 various 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, enabling stakeholders to meet their mission requirements.

Call for Papers

Papers for the Second Symposium on Community Modeling and Innovation are solicited on the following:

  • Advancing Community Earth System Models Through Open Innovation
  • Applications of Cloud and High-Performance Computing Solutions in Earth Systems Modeling
  • Community Modeling Systems as Teaching Tools for Education and Academic Curriculum Development
  • Community Tools for Testing and Evaluation of Weather and Climate Models
  • Coupled Numerical Modeling of Wildfire and Wildfire Hazards: Current Status, Innovations, Applications, and Future Developments
  • Frameworks for Scientific Innovation and Community Modeling: Developments in Practices, Governance, Policy, Social Science, Community Engagement, and Education
  • Other Topics on Community Modeling and Innovation
  • Practices, Governance, Policy, and Frameworks for Scientific Innovation and Community Modeling
  • Process-based Testing and Evaluation of Weather and Climate Models
  • Shared Infrastructure in Community Models
  • Social Science Initiatives and Engagement Strategies to Support Community Modeling
  • The Future of Earth Prediction Systems: ML/AI, Coupling, Observations, Gaps, Needs, and Opportunities

Joint Sessions

  • The Earth Prediction Innovation Center to Accelerate Community-Developed Scientific and Technological Enhancements into the Operational Applications for Numerical Weather Prediction (Joint between the 13th Conference on Transition of Research to Operations and the Second Symposium on Community Modeling and Innovation)
  • High-Performance Computing Support for Earth Innovations and Research in a Community Modeling Framework (Joint between the Ninth Symposium on High Performance Computing for Weather, Water, and Climate and the Second Symposium on Community Modeling and Innovation)

Student Award Opportunities

The Student Presenter Travel Allowance is designed to help offset expenses relating to registration fees, transportation costs, food, and lodging for students presenting poster or oral papers. To apply, students should prepare a short written statement (no more than one page) declaring their financial need and circumstance, relevance of their research to the conference, how they will benefit from attending the conference, and a copy of their abstract for the meeting. Travel allowance applications are due October 15, 2022, and should be submitted to program chair Jose-Henrique Alves, [email protected]. Please enter “Student Travel Award Application” as the Subject Line. Students selected to receive the travel allowances will be notified by November 15, 2022.


Additional details regarding Student Presenter Travel Allowance:

Travel reimbursement will occur after the meeting. Registration should be handled prior to the travel.


Conference Contacts

For additional information, please contact the program chairs: Dr. Neil Jacobs ([email protected]), Dr. Louisa Bogar Nance ([email protected]), Dr. Jose-Henrique Alves ([email protected]), and Dr. Hendrik L. Tolman ([email protected]).