Abstracts are due by 14 August 2025 at 5:00 PM ET
Abstract Fee and Author Instructions
All presenters must also register for the meeting.
The Third Symposium on the Future of Weather, Forecasting, and Practice is sponsored by the American Meteorological Society and organized by the AMS Committee on Weather Analysis and Forecasting.
We are soliciting papers and posters from the research and operational weather and climate forecasting community on the following topics:
Effective Communication of Weather and Climate Hazards and Impacts
The weather and climate community is facing multiple challenges in interfacing with the public and needs to take a multifaceted approach that integrates improved interdisciplinary research, enhanced outreach methods, and evidence-based communication strategies. Increasing hazard awareness among partners and the public requires building trust, fostering partnerships, and utilizing accessible technologies and platforms for timely dissemination of information. Topics within this theme may include:
The Future of the Weather Enterprise
The future of the weather enterprise is shaped by the dual pressures of rapidly evolving technologies and the changing workforce landscape. Research-to-operations (R2O) partnerships face increasing challenges, such as funding gaps, leading to delays in transitioning cutting-edge research into operational tools. At the same time, maintaining robust weather observational networks is becoming more difficult due to budget cuts and the need for modernization, yet these networks remain the backbone of reliable forecasting. To meet these demands, the weather enterprise must prioritize communication, collaboration, and innovation to ensure resilient and adaptive forecasting capabilities in the decades to come. Topics within this theme may include:
Novel and Innovative Forecasting Approaches and Technologies
As the demand for more accurate, timely, and impact-based weather forecasts grows, the forecasting community is embracing novel approaches and technologies to meet operational, research, and societal needs. This session invites papers highlighting advancements in real-time data integration, artificial intelligence and machine learning (AI/ML), and cloud computing that enhance forecast development, delivery, and decision support.
Topics of interest include AI/ML-driven forecast improvements and bias correction, cloud-based platforms that enable scalable and cost-effective modeling, and the democratization of advanced forecasting capabilities across institutions of varying size. Contributions are encouraged on the future of ensemble and probabilistic forecasting, forecast verification and evaluation, and innovations in decision-support systems. This session will also explore the evolving impact of AI and cloud technologies on forecasting practices, including their integration into operational workflows and their role in shaping the next 20 years of weather prediction.
Advances in Weather Forecasting Across Scales: Innovations in Models, Observations, Tools, and Datasets
Improving weather prediction across spatial and temporal scales relies on the integration of theory, observations, and modeling. Despite significant progress, challenges remain in accurately representing and forecasting atmospheric processes ranging from mesoscale to synoptic-scale phenomena.
This session invites abstracts that showcase advancements in numerical weather prediction models, observational datasets—including those from ground-based networks and satellite platforms—or data assimilation techniques that contribute to improved forecast skill or process understanding. Papers should focus on applications to short-term through medium-range forecasting, including lead times from hours to 14 days. Contributions involving novel instrumentation, satellite technologies, forecasting systems—such as the Warn-on-Forecast system—and decision-support tools that enhance the prediction of high-impact weather events are also encouraged.
For more information, please contact the program chairs: Diana Stovern ([email protected]) and Stephanie Zick ([email protected]).