Articles | Volume 16, issue 1
Research article
06 Jan 2022
Research article |  | 06 Jan 2022

Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM)

Emma K. Fiedler, Matthew J. Martin, Ed Blockley, Davi Mignac, Nicolas Fournier, Andy Ridout, Andrew Shepherd, and Rachel Tilling

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Cited articles

Aaboe, S., Down E. J., and Eastwood, S.: Product User Manual for the Global sea-ice edge and type Product, Product User Manual SAF/OSI/CDOP3/MET-Norway/TEC/MA/205, Ocean and Sea Ice Satellite Application Facility, Norwegian Meteorological Institute, available at: (last access: 16 December 2021), 2021. a, b
Alexandrov, V., Sandven, S., Wahlin, J., and Johannessen, O. M.: The relation between sea ice thickness and freeboard in the Arctic, The Cryosphere, 4, 373–380,, 2010.  a
Allard, R., Metzger, E., Barton, N., Li, L., Kurtz, N., Phelps, M., Franklin, D., Smedstad, O. M., Crout, J., and Posey, P.: Analyzing the impact of CryoSat-2 ice thickness initialization on seasonal Arctic sea ice prediction, Ann. Glaciol., 61, 78–85,, 2020. a
Allard, R. A., Farrell, S. L., Hebert, D. A., Johnston, W. F., Li, L., Kurtz, N. T., Phelps, M. W., Posey, P. G., Tilling, R., Ridout, A., and Wallcraft, A. J.: Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system, Adv. Space Res., 62, 1265–1280,, 2018. a
Bannister, R. N.: A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances, Q. J. Roy. Meteorol. Soc., 134, 1951–1970,, 2008. a
Short summary
Sea ice thickness (SIT) observations derived from CryoSat-2 satellite measurements have been successfully used to initialise an ocean and sea ice forecasting model (FOAM). Other centres have previously used gridded and averaged SIT observations for this purpose, but we demonstrate here for the first time that SIT measurements along the satellite orbit track can be used. Validation of the resulting modelled SIT demonstrates improvements in the model performance compared to a control.