Tentative Program

This track focuses on the latest developments in numerical weather prediction models, emphasizing innovative algorithms and methodologies. Participants will explore how these advancements enhance forecasting capabilities and improve prediction accuracy.

This session will delve into various data assimilation techniques that integrate observational data into numerical models. Discussions will highlight the impact of these techniques on improving initial conditions and overall forecast reliability.

This track examines ensemble forecasting methods, including their theoretical foundations and practical applications in meteorology. Participants will discuss how ensemble approaches can quantify forecast uncertainty and enhance decision-making.

Focusing on high-resolution atmospheric simulations, this session will explore the challenges and benefits of increased grid resolution in numerical models. Attendees will learn about the implications for local weather phenomena and climate modeling.

This track addresses the development and evaluation of parameterization schemes used in numerical weather models. Participants will discuss the importance of these schemes in representing sub-grid scale processes and their influence on forecast outcomes.

This session will cover methodologies for model evaluation and forecast verification, focusing on statistical approaches and performance metrics. Participants will share insights on best practices for assessing model skill and reliability.