17:15 〜 19:15
[ACG40-P01] Current Status and Challenges in the Implementation of the SynObs Data Server
The SynObs project, endorsed under the United Nations Decade of Ocean Science for Sustainable Development, aims to enhance the integration and utilization of diverse ocean observation platforms to improve ocean prediction. A key component of this initiative is the development of a dedicated SynObs data server to facilitate access to experimental outputs, including results from coordinated Observing System Experiments (OSEs) and Observing System Simulation Experiments (OSSEs) conducted across multiple operational ocean forecasting systems.
This presentation focuses on the concept, current status, and future outlook of the SynObs data server. Designed as a centralized platform, the server aims to enable efficient data sharing, standardization, and interoperability among participating institutions. By providing structured access to experiment results, it is expected to support broader scientific collaboration and accelerate advancements in ocean prediction research. We will also discuss challenges related to data collection, accessibility, and interface development to ensure seamless integration across different forecasting systems.
Efforts are now directed toward refining the server’s architecture, improving accessibility through standardized interfaces, and expanding its capabilities to handle increasing data volumes. These developments aim to establish the SynObs data server as a key resource for the ocean prediction community, supporting data-driven research and operational forecasting on a global scale.
This presentation focuses on the concept, current status, and future outlook of the SynObs data server. Designed as a centralized platform, the server aims to enable efficient data sharing, standardization, and interoperability among participating institutions. By providing structured access to experiment results, it is expected to support broader scientific collaboration and accelerate advancements in ocean prediction research. We will also discuss challenges related to data collection, accessibility, and interface development to ensure seamless integration across different forecasting systems.
Efforts are now directed toward refining the server’s architecture, improving accessibility through standardized interfaces, and expanding its capabilities to handle increasing data volumes. These developments aim to establish the SynObs data server as a key resource for the ocean prediction community, supporting data-driven research and operational forecasting on a global scale.