Biblio

Found 15 results
Filters: Author is Bertino, Laurent  [Clear All Filters]
2019
M. Bocquet, Brajard, J., Carrassi, A., and Bertino, L., “Data assimilation as a deep learning tool to infer ODE representations of dynamical models”, Nonlinear Processes in Geophysics Discussions, vol. Submitted, pp. 1 - 29, 2019.
J. Blyverket, Hamer, P., Bertino, L., Albergel, C., Fairbairn, D., and Lahoz, W., “An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US”, Remote Sensing, vol. 11, no. 5, p. 478, 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
A. Shah, Gharamti, M. El, and Bertino, L., “Assimilation of semi-qualitative observations with a stochastic Ensemble Kalman Filter”, Quarterly Journal of the Royal Meteorological Society, 2018.
A. Carrassi, Bocquet, M., Bertino, L., and Evensen, G., “Data assimilation in the geosciences: An overview of methods, issues, and perspectives”, Wiley Interdisciplinary Reviews: Climate Change, vol. 9, no. 5, p. e535, 2018.
K. Aalstad, Westermann, S., Schuler, T. Vikhamar, Boike, J., and Bertino, L., “Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites”, The Cryosphere, vol. 12, no. 1, pp. 247 - 270, 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.
M. Rabatel, Rampal, P., Carrassi, A., Bertino, L., and Jones, C. K. R. T., “Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic”, The Cryosphere, vol. 12, no. 3, pp. 935 - 953, 2018.
L. Yu, Fennel, K., Bertino, L., Gharamti, M. El, and Thompson, K. R., “Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling”, Ocean Modelling, vol. 126, pp. 13 - 28, 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
L. Bertino and Holland, M. M., “Coupled ice-ocean modeling and predictions”, Journal of Marine Research, vol. 75, no. 6, pp. 839 - 875, 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.
M. Buehner, Bertino, L., Caya, A., Heimbach, P., and Smith, G., “Sea Ice Data Assimilation”, Cambridge University Press, Cambridge, USA, Chapter 4, 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.
2014
M. Gray, Petit, C., Rodionov, S., Bocquet, M., Bertino, L., Ferrari, M., and Fusco, T., “Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results”, Optics Express, vol. 22, no. 17, p. 20894, 2014.