2025 Community Space Weather Modeling and Data Assimilation Workshop

Objectives:

• Exchange technical knowledge and details on ongoing space weather modeling and data assimilation efforts
• Bring together key stakeholders developing community-based and advanced data assimilation systems within the JEDI framework to support space weather forecasting across the ionosphere, thermosphere, mesosphere, and magnetosphere
• Collect operational needs for developing community space weather modeling and data assimilation systems, along with community input on barriers and potential solutions for implementing operational space weather data assimilation
• Assess the roles and contributions of each participant and explore how resources can be effectively shared to achieve common objectives

Topics of interest for presentations include (but not limited to):  

• Current operational capabilities and plans
• Advances in modeling and coupling efforts
• Observations and measurements, including commercial vendors
• Advancement in data assimilation: algorithm, configurations, impacts
• Model and observation biases and uncertainty (error) estimation
• Modeling and data assimilation requirements, e.g., data latency, model cycling frequency, boundary forcing, and boundary conditions
• Post-processing methods to improve space weather forecasts
• Machine learning development and applications
   

• NSF NCAR HAO Website
• NSF NCAR RAL Website
• JCSDA Website