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Ocean Data Assimilation in Support of Climate Applications: Status and Perspectives.
D Stammer1, M Balmaseda2, P Heimbach3,4
1Centrum für Erdsystemforschung und Nachhaltigkeit (CEN), Universität Hamburg, 20148 Hamburg, Germany;
Annual Review of Marine Science
|October 17, 2015
Summary
Ocean data assimilation integrates observations with models for climate prediction and understanding. Careful selection of assimilation products is crucial due to methodological differences, with future advances depending on improved error representation and coupled systems.
Area of Science:
- Oceanography
- Climate Science
- Data Assimilation
Background:
- Ocean data assimilation combines observational data with dynamical models to represent ocean circulation.
- Applications span marine forecasting, ecosystem studies, climate prediction, and carbon cycle research.
Purpose of the Study:
- Focuses on climate applications of ocean data assimilation.
- Aims to improve understanding of ocean circulation and support climate forecasts.
- Highlights the need for judicious selection of data assimilation products based on specific purposes.
Main Methods:
- Utilizes ocean circulation models integrated with observational data.
- Employs data assimilation techniques to describe time-varying ocean states.
Main Results:
- Data assimilation products vary in reliability due to differing methodologies.
- Advances are anticipated from improved models and error estimation in assimilation systems.
Conclusions:
- Data assimilation is vital for climate prediction and understanding ocean dynamics.
- Sustained data assimilation infrastructure and expertise are essential but challenging to maintain.
- Integration into coupled climate systems is necessary for robust ocean and climate services.
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