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2018

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

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

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 In Press, Corrected Proof, (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

Gharamti, M.E., et al. Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic. Journal of Marine Systems 168, (2017). Abstract

Xie, J., Bertino, L., Lisæter, K.A., Counillon, F. & Sakov, P. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013. Ocean Science 13, (2017).

Buehner, M., Bertino, L., Caya, A., Heimbach, P. & Smith, G. Sea ice data assimilation. (2017).doi:10.1017/9781108277600

2016

Wang, Y., Counillon, F. & Bertino, L. Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society 142, (2016). Abstract

Lien, V.S., et al. An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling 99, (2016).

Xie, J., Counillon, F., Bertino, L., Tian-Kunze, X. & Kaleschke, L. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere 10, (2016).

Wickert, J., et al. GEROS-ISS: GNSS REflectometry, Radio Occultation, and Scatterometry Onboard the International Space Station. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, (2016).

Raanes, P. Improvements to Ensemble Methods for Data Assimilation in the Geosciences. 182 (2016).at <https://ora.ox.ac.uk/objects/uuid:9f9961f0-6906-4147-a8a9-ca9f2d0e4a12>

Simoncelli, S., et al. MYOCEAN REGIONAL REANALYSES:OVERVIEW OF REANALYSES SYSTEMS AND MAIN RESULTS. (2016).

2015

George, M.S. Modelling and observations of upwelling along the southwest coast of India and its intrusion into the Bay of Bengal, during summer monsoon. 91 (2015).

Xie, J., Zhu, J., Bertino, L. & Counillon, F. Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model. Ocean Dynamics (2015).doi:10.1007/s10236-015-0817-y

Gehlen, M., et al. Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 8, (2015).

Nansen Environmental and Remote Sensing Center (Bergen, Norway)	Nansen International Environmental and Remote Sensing Center (St. Petersburg, Russia)	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies (Dhaka, Bangladesh)
Nansen Environmental Research Center – India (Cochin, India)	Nansen–Zhu International Research Centre (Beijing, China)	Nansen-Tutu Centre for Marine Environmental Research (Cape Town, South Africa)