Ensemble-based data assimilation for environmental monitoring and prediction

Ensemble-based data assimilation for environmental monitoring and prediction

Biblio

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2019

F. Balibrea-Iniesta, Xie, J., García-Garrido, V. J., Bertino, L., Mancho, A. M., and Wiggins, S., “Lagrangian transport across the upper Arctic waters in the Canada Basin”, Quarterly Journal of the Royal Meteorological Society, vol. 145, no. 718, pp. 76 - 91, 2019.

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.

J. Xie, Bertino, L., Cardellach, E., Semmling, M., and Wickert, J., “An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks”, Remote Sensing of Environment, vol. 209, pp. 152 - 165, 2018.

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.