To conserve and sustain our ocean we must understand how this environment behaves and changes. Ocean models can simulate the past and predict the future state of the ocean. Ocean monitoring and prediction systems make use of ocean knowledge-based models to produce ocean state estimates which are homogeneous in space and time, and consistent with our state-of-the-art knowledge of ocean processes.
Model (re)analyses merge and fill the gaps between in situ and satellite observations (data assimilation), extending the influence and value of these observations to our understanding of the ocean’s state.
Model forecasts propagate the present state estimates into the future, allowing us to work safely at sea, protect coastal communities and take actions that minimise our impacts on the ocean environment. This session will explore the why’s and how’s of our use and development of ocean models to monitor and predict ocean state.
3.png)
.png)
1.png)
.png){kind=logo}