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.
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 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.
Papers for the Second Symposium on Community Modeling and Innovation are solicited on the following:
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, firstname.lastname@example.org. Please enter “Student Travel Award Application” as the Subject Line. Students selected to receive the travel allowances will be notified by November 15, 2022.
For additional information, please contact the program chairs: Dr. Neil Jacobs (email@example.com), Dr. Louisa Bogar Nance (firstname.lastname@example.org), Dr. Jose-Henrique Alves (Henrique.Alves@noaa.gov), and Dr. Hendrik L. Tolman (Hendrik.Tolman@NOAA.gov).