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International Conference on Ocean Modeling and Data Assimilation

📅 11–12 Jan 2027 📍 Oslo, Norway 👤 Standard / Listener

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$185

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest methodologies in ocean modeling, emphasizing the integration of numerical simulations and hydrodynamic principles. Participants will explore innovative approaches to enhance the accuracy and efficiency of oceanographic models.

This session will delve into various data assimilation techniques used to improve oceanographic models. Discussions will include the integration of observational data and the impact of these strategies on model performance.

This track examines the critical role of oceanic processes in climate modeling and their interactions with atmospheric systems. Researchers will present findings on how these interactions influence climate variability and trends.

Focusing on the complexities of wave modeling, this session will address the dynamics of coastal processes and their implications for coastal management. Participants will share insights into the challenges and advancements in simulating wave behavior.

This track investigates the mechanisms of thermohaline circulation and its significance in global climate systems. Presentations will highlight recent research on the implications of these processes for climate change.

This session will explore the application of predictive analytics in ocean forecasting, emphasizing the use of ensemble forecasting techniques. Researchers will discuss case studies that demonstrate the effectiveness of these methods in real-world scenarios.

This track focuses on the advancements in remote sensing technologies and their applications in oceanographic research. Participants will discuss how satellite data enhances our understanding of ocean dynamics and processes.

This session will address the challenges of turbulence modeling in oceanographic simulations. Researchers will present methodologies and findings that improve the representation of turbulent processes in ocean models.

Focusing on model calibration and parameterization, this track will discuss best practices and innovative approaches to enhance model reliability. Participants will share experiences and methodologies that contribute to effective model tuning.

This session will explore the integration of diverse oceanographic datasets to improve model accuracy and understanding of ocean processes. Discussions will highlight collaborative efforts and technological advancements in data integration.

This track will focus on scenario analysis as a tool for understanding potential future states of ocean systems. Researchers will present methodologies and case studies that illustrate the importance of scenario planning in oceanography.