Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-423-2026
https://doi.org/10.5194/gmd-19-423-2026
Development and technical paper
 | 
15 Jan 2026
Development and technical paper |  | 15 Jan 2026

Implementation and evaluation of sea level operators in OceanVar2.0: an open-source oceanographic three-dimensional variational data assimilation system

Paolo Oddo, Mario Adani, Francesco Carere, Andrea Cipollone, Anna Chiara Goglio, Eric Jansen, Ali Aydogdu, Francesca Mele, Italo Epicoco, Jenny Pistoia, Emanuela Clementi, Nadia Pinardi, and Simona Masina

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Cited articles

Adani, M., Dobricic, S., and Pinardi, N.: Quality assessment of a 1985–2007 Mediterranean Sea reanalysis, J. Atmos. Oceanic Technol., 28, 569–589, https://doi.org/10.1175/2010JTECHO798.1, 2011. 
Adani, M., Aydogdu, A., Cipollone, A., Jansen, E., Carere, F., and Oddo, P.: OceanVar User Manual, https://github.com/CMCC-Foundation/OceanVar2/blob/main/doc/OceanVar_User_Manual.pdf (last access: 15 January 2025), 2025. 
Anderson, J. L., Hoar, T., Raeder, K., Liu, H., Collins, N., Torn, R., and Arellano, A.: The Data Assimilation Research Testbed: a community facility, Bull. Am. Meteorol. Soc., 90, 1283–1296, https://doi.org/10.1175/2009BAMS2618.1, 2009. 
Arbic, B. K.: Incorporating tides and internal gravity waves within global ocean general circulation models: a review, Prog. Oceanogr., 206, 102824, https://doi.org/10.1016/j.pocean.2022.102824, 2022. 
Barthélémy, S., Brajard, J., Bertino, L., and Counillon, F.: Super-resolution data assimilation, Ocean Dyn., 72, 661–678, 2022. 
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Short summary
This study present a data assimilation system that combines ocean observational data with ocean model results to better understand the ocean and predict its future state. The method uses a three dimensional incremental variational approach focusing on the physical relationships between all the state vector variables errors. Testing in the Mediterranean Sea showed that a complex sea level operator based on a barotropic model works best.
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