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Overseas Training > 2010 > Seong Jin Noh

Seong Jin Noh

The Enhancement of Flood Forecasting Using Sequential Data Assimilation

Hydrology and Water Resources Engineering, Division of Integrated Environmental Management, Department of Urban and Environmental Engineering, Graduate School of Engineering
Place of stay: Deltares, Delft, the Netherlands
Term: October 31 – November 5, 2010
Data assimilation is a way to integrate information from a variety of sources to improve model accuracy, considering the uncertainty in both the measurement and modeling system. The purpose of my internship was to acquire and exchange state-of-the-art scientific techniques on data assimilation at Deltares, Delft, in the Netherlands. During the internship, there was an international Workshop on Data Assimilation for Operational Hydrological Forecasting and Water Resources Management. The goal of the workshop was to develop and foster community-based efforts for collaborative research, development and synthesis of techniques and tools, and cost-effective science-to-operations transition of them. I had a chance to have an oral presentation on my current research concerning the enhancement of river flow forecasting using Sequential Monte Carlo Methods. During and after the workshop, I was able to have an in-depth discussion with prominent researchers from various countries. It was very impressive experience for me to have an active communications and collaborations among researchers. The discussion results of this workshop are scheduled to be published as a special issue of a hydrologic journal, including a multi-authored paper that puts forth a community research agenda for data assimilation. Despite the short schedule of the internship, this intensive workshop was valuable for me. I will keep and extend this international cooperative networks for further research.

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