Using canonical correlation analysis to produce dynamically based and highly efficient statistical observation operators
<p>Observation operators (OOs) are a central component of any data assimilation system. As they project the state variables of a numerical model into the space of the observations, they also provide an ideal opportunity to correct for effects that are not described or are insufficiently descri...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-08-01
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| Series: | Ocean Science |
| Online Access: | https://www.ocean-sci.net/15/1023/2019/os-15-1023-2019.pdf |