nn2993k

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Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system

Submitted by webadmin on 2. February 2022 - 10:35

Nakanowatari, T., mfl. Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. Environmental Research Letters 209, (2022).

Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion

Submitted by webadmin on 8. December 2020 - 15:07

Cheng, S., Aydoğdu, A., Rampal, P., Carrassi, A. & Bertino, L. Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. Oceans (2020).doi:10.3390/oceans1040022

Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization

Submitted by webadmin on 27. March 2020 - 17:10

Bocquet, M., Brajard, J., Carrassi, A. & Bertino, L. Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science (FoDS) 2, (2020).

Quantifying the Impact of Wind‐Current Feedback on Mesoscale Variability in Forced Simulation Experiments of the Agulhas Current Using an Eddy‐Tracking Algorithm

Submitted by webadmin on 22. January 2020 - 10:49

Braby, L., Backeberg, B., Krug, M. & Reason, C. Quantifying the Impact of Wind‐Current Feedback on Mesoscale Variability in Forced Simulation Experiments of the Agulhas Current Using an Eddy‐Tracking Algorithm. Journal of Geophysical Research (JGR): Oceans 125, (2020).

Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment

Submitted by webadmin on 17. December 2019 - 10:10

Shah, A., Bertino, L., Counillon, F., Gharamti, M.E. & Xie, J. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus. Series A, Dynamic meteorology and oceanography 72, (2019).

Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system

Submitted by webadmin on 12. December 2019 - 12:04

Bertino, L. & Xie, J. Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. Sea Ice in the Arctic, Past, Present and Future (2020).doi:10.1007/978-3-030-21301-5_9

Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data

Submitted by webadmin on 6. September 2019 - 15:11

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).

Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season

Submitted by webadmin on 8. August 2019 - 15:52

Smith, G.C., mfl. Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. 6:429, (2019).

Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks

Submitted by webadmin on 1. August 2019 - 15:15

Fujii, Y., mfl. Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks. 6:417, (2019).

Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter

Submitted by webadmin on 12. October 2018 - 11:57

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).

Nansen Environmental and Remote Sensing Center	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies	Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India	Nansen–Zhu International Research Centre	Nansen-Tutu Centre for Marine Environmental Research