Articles | Volume 12, issue 12
https://doi.org/10.5194/gmd-12-5097-2019
https://doi.org/10.5194/gmd-12-5097-2019
Development and technical paper
 | 
05 Dec 2019
Development and technical paper |  | 05 Dec 2019

Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1)

Sergey Skachko, Mark Buehner, Stéphane Laroche, Ervig Lapalme, Gregory Smith, François Roy, Dorina Surcel-Colan, Jean-Marc Bélanger, and Louis Garand

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Cited articles

Bauer, P. and Richardson, D.: New model cycle 40r1, ECMWF Newsletter, available at: https://www.ecmwf.int/node/14581 (last access: 30 September 2019), 2014. a
Bélair, S., Crevier, L.-P., Mailhot, J., Bilodeau, B., and Delage, Y.: Operational Implementation of the ISBA Land Surface Scheme in the Canadian Regional Weather Forecast Model. Part I: Warm Season Results, J. Hydrometeorol., 4, 352–370, https://doi.org/10.1175/1525-7541(2003)4<352:OIOTIL>2.0.CO;2, 2003. a, b
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/10.1175/1520-0493(1996)124<1256:DAUIAU>2.0.CO;2, 1996. a
Brasnett, B.: The impact of satellite retrievals in a global sea-surface-temperature analysis, Q. J. Roy. Meteor. Soc., 134, 1745–1760, https://doi.org/10.1002/qj.319, 2008. a
Brasnett, B. and Colan, D. S.: Assimilating Retrievals of Sea Surface Temperature from VIIRS and AMSR2, J. Atmos. Ocean. Tech., 33, 361–375, https://doi.org/10.1175/JTECH-D-15-0093.1, 2016. a
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Short summary
The study presents a weakly coupled atmosphere–ocean data assimilation system that uses coupled atmosphere–ocean–ice short-term forecasts as background states for atmospheric and ocean systems that independently compute atmospheric and ocean analyses. This system leads to better agreement between the coupled atmosphere–ocean analyses and coupled forecasts that have been used operationally for the last year.