Articles | Volume 17, issue 6
https://doi.org/10.5194/os-17-1791-2021
https://doi.org/10.5194/os-17-1791-2021
Research article
 | 
07 Dec 2021
Research article |  | 07 Dec 2021

Assimilating realistically simulated wide-swath altimeter observations in a high-resolution shelf-seas forecasting system

Robert R. King and Matthew J. Martin

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Cited articles

Bédard, J. and Buehner, M.: A practical assimilation approach to extract smaller-scale information from observations with spatially correlated errors: An idealized study, Q. J. Roy. Meteor. Soc., 146, 468–482, 2020. a
Benkiran, M., Ruggiero, G., Greiner, E., Le Traon, P.-Y., Remy, E., Lellouche, J. M., Bourdalle-Badie, R., Drillet, Y., and Tchonang, B.: Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods, Frontiers in Marine Science, 8, 947, https://doi.org/10.3389/fmars.2021.691955, 2021. a
Berg, P. and Poulsen, J. W.: Implementation details for HBM, DMI Technical Report No. 12-11, Danish Meteorological Institute, Ministry for Climate and Energy, available at: https://www.dmi.dk/fileadmin/Rapporter/TR/tr12-11.pdf (last access: 6 December 2021), 2012. a
Blockley, E. W., Martin, M. J., McLaren, A. J., Ryan, A. G., Waters, J., Lea, D. J., Mirouze, I., Peterson, K. A., Sellar, A., and Storkey, D.: Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts, Geosci. Model Dev., 7, 2613–2638, https://doi.org/10.5194/gmd-7-2613-2014, 2014. a
Bloom, S. C., Takacs, L. L., da Silva, A. M., and Ledvina, D.: Data Assimilation Using Incremental Analysis Updates, Mon. Weather Rev., 124, 1256–1271, https://doi.org/https://doi.org/10.1175/1520-0493(1996)124%3C1256:DAUIAU%3E2.0.CO;2, 1996. a
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Short summary
The SWOT satellite will provide a step change in our ability to measure the sea surface height over large areas, and so improve operational ocean forecasts, but will be affected by large correlated errors. We found that while SWOT observations without these errors significantly improved our system, including correlated errors degraded most variables. To realise the full benefits offered by the SWOT mission, we must develop methods to account for correlated errors in ocean forecasting systems.