Biblio

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2019
Shah, A. Stochastic data assimilation of observations with a detection limit. 97 (2019).
Ali, A., et al. A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans. Ocean Modelling 137, (2019).
Bocquet, M., Brajard, J., Carrassi, A. & Bertino, L. Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. Nonlinear processes in geophysics 26, (2019).
Xie, J., Raj, R.P., Bertino, L., Samuelsen, A. & Wakamatsu, T. Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data. Ocean Science 15, (2019).
Blyverket, J., et al. 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 11, (2019). Abstract
Bertino, L. & Traon, P.-Y.L. From Observation to Information and Users: The Copernicus Marine Service Perspective. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00234
Fujii, Y., et al. Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00417
Smith, G.C., et al. Polar Ocean Observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00429
Moore, A.M., et al. Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean. Frontiers in Marine Science 6, (2019).
2018
Shah, A., Gharamti, M.E. & Bertino, L. Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter. Quarterly Journal of the Royal Meteorological Society 144, (2018). Abstract
Carrassi, A., Bocquet, M., Bertino, L. & Evensen, G. Data assimilation in the geosciences - An overview of methods, issues and perspectives. WIREs Climate Change (2018).doi:doi: 10.1002/wcc.535
Aalstad, K., Westermann, S., Schuler, T., Boike, J. & Bertino, L. Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites. The Cryosphere 12, (2018). Abstract
Xie, J., Counillon, F. & Bertino, L. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12, (2018). Abstract
Rabatel, M., Rampal, P., Carrassi, A., Bertino, L. & 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 12, (2018).
Yu, L.Q., Fennel, K., Bertino, L., Gharamti, M.E. & 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 126, (2018). Abstract
Balibrea-Iniesta, F., et al. Lagrangian transport across the upper Arctic waters in the Canadian Basin. Quarterly Journal of the Royal Meteorological Society 145, (2018).
Ardhuin, F., et al. Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science 14, (2018).
Nakanowatari, T., et al. Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system. The Cryosphere 12, (2018).
Xie, J., Bertino, L., Cardellach, E., Semmling, M. & 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 209, (2018).
Raj, R.P., et al. Quantifying Atlantic Water transport to the Nordic Seas by remote sensing. Remote Sensing of Environment 216, (2018).
Chatterjee, S., et al. Role of Greenland sea gyre circulation on Atlantic water temperature variability in the Fram Strait. Geophysical Research Letters 45, (2018).
2017
Carrieres, T., et al. Automated Sea Ice Prediction Systems. (2017).doi:10.1017/9781108417426
George, M.S., Joseph, P.V., Joseph, K.A., Bertino, L. & Johannessen, O.M. The cold pool of the Bay of Bengal and its association with the break phase of the Indian summer monsoon. Atmospheric and Oceanic Science Letters 10, (2017).
Gharamti, M.E., et al. Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites. Ocean Modelling 112, (2017).
Aksenov, Y., et al. On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice. Marine Policy 75, (2017). Abstract
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