Articles | Volume 16, issue 13
https://doi.org/10.5194/gmd-16-3675-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-3675-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
06 Jul 2023
Development and technical paper |
| 06 Jul 2023
| 06 Jul 2023
Data assimilation sensitivity experiments in the East Auckland Current system using 4D-Var
Department of Physics, Waipapa Taumata Rau/University of Auckland, Auckland, 1010, New Zealand
Ocean Dynamics Group, National Institute of Water and Atmospheric Research, Wellington, 6021, New Zealand
Department of Mathematics and Statistics, University of Otago, Dunedin, 9016, New Zealand
Helen Macdonald
Ocean Dynamics Group, National Institute of Water and Atmospheric Research, Wellington, 6021, New Zealand
Joanne O'Callaghan
Department of Physics, Waipapa Taumata Rau/University of Auckland, Auckland, 1010, New Zealand
Brian Powell
Department of Oceanography, University of Hawai'i, Honolulu, HI 96822, USA
Sarah Wakes
Department of Mathematics and Statistics, University of Otago, Dunedin, 9016, New Zealand
Sutara H. Suanda
Department of Physics and Physical Oceanography, University of North Carolina Wilmington, Wilmington, NC 28403, USA
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Short summary
We show the importance of assimilating subsurface temperature and velocity data in a model of the East Auckland Current. Assimilation of velocity increased the representation of large oceanic vortexes. Assimilation of temperature is needed to correctly simulate temperatures around 100 m depth, which is the most difficult region to simulate in ocean models. Our simulations showed improved results in comparison to the US Navy global model and highlight the importance of regional models.
We show the importance of assimilating subsurface temperature and velocity data in a model of...
