Forecasting hydrodynamics using data assimilation: A case study in the North Sea

The need for accurate estimation of hydrodynamic and water quality model variables arises from the UNITED project, which aims to create high-resolutional forecasting systems for monitoring the cultivation of seaweed and flat oysters and operating of the Belgian pilot of UNITED in the coastal area of the North Sea. Accurate observations of...

Performing data assimilation experiments with hydrodynamic models: A Java Sea case

Floods are a big problem for Jakarta; the capital of Indonesia is subsiding below mean sea level and floods will become more frequent. Flood protection and measures against subsidence are, therefore, of high importance to Jakarta’s government. One of the options they are studying is a great sea wall to regulate the water levels in Jakarta Bay....

OpenDA-NEMO framework for ocean data assimilation

Data assimilation methods provide a means to handle the modeling errors and uncertainties in sophisticated ocean models. In this study, we have created an OpenDA-NEMO framework unlocking the data assimilation tools available in OpenDA for use with NEMO models. This includes data assimilation methods, automatic parallelization, and a recently...