Ensemble-based data assimilation for environmental monitoring and prediction

Ensemble-based data assimilation for environmental monitoring and prediction

Biblio

Found 5 results

Filters: Author is Counillon, François [Clear All Filters]

2018

J. Xie, Counillon, F., and Bertino, L., “Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis”, The Cryosphere, vol. 12, no. 11, pp. 3671 - 3691, 2018.

2017

Y. Wang, Counillon, F., Bethke, I., Keenlyside, N., Bocquet, M., and Shen, M. -lin, “Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation”, Ocean Modelling, vol. 114, pp. 33 - 44, 2017.

J. Xie, Bertino, L., Counillon, F., Lisæter, K. A., and Sakov, P., “Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013”, Ocean Science, vol. 13, no. 1, pp. 123 - 144, 2017.

2016

J. Xie, Counillon, F., Bertino, L., Tian-Kunze, X., and Kaleschke, L., “Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system”, The Cryosphere, vol. 10, no. 6, pp. 2745 - 2761, 2016.

F. Counillon, Keenlyside, N., Bethke, I., Wang, Y., Billeau, S., Shen, M. Lin, and Bentsen, M., “Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian Climate Prediction Model”, Tellus A: Dynamic Meteorology and Oceanography, vol. 68, no. 1, p. 32437, 2016.