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Combining data assimilation and machine learning to infer unresolved scale parametrization

Submitted by Antoine Bernigaud on 17. February 2021 - 16:18

Brajard, J., Carrassi, A., Bocquet, M. & Bertino, L. Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, (2021).

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

Submitted by Antoine Bernigaud 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

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

Submitted by Antoine Bernigaud on 30. June 2020 - 14:02

Brajard, J., Carrassi, A., Bocquet, M. & Bertino, L. Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. Journal of Computational Science 44, (2020).

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

Submitted by Antoine Bernigaud 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).

Improving weather and climate predictions by training of supermodels

Submitted by Alberto Carrassi on 22. October 2019 - 14:48

Schevenhoven, F., Selten, F., Carrassi, A. & Keenlyside, N. Improving weather and climate predictions by training of supermodels. Earth System Dynamics (2019).

Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean

Submitted by Antoine Bernigaud on 6. March 2019 - 10:43

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Moore, A.M., mfl. 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).

Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error

Submitted by Antoine Bernigaud on 18. October 2018 - 20:04

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Grudzien, C., Carrassi, A. & Bocquet, M. Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. SIAM/ASA Journal on Uncertainty Quantification (JUQ) 6, (2018).

Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods

Submitted by Antoine Bernigaud on 27. September 2018 - 13:11

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Pulido, M., Tandeo, P., Bocquet, M., Carrassi, A. & Lucini, M. Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods. Tellus. Series A, Dynamic meteorology and oceanography 70, (2018).

Impact of rheology on probabilistic forecasts of sea ice trajectories: Application for search and rescue operations in the Arctic

Submitted by Antoine Bernigaud on 27. September 2018 - 11:42

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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).

Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error

Submitted by Antoine Bernigaud on 26. September 2018 - 15:10

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Grudzien, C., Carrassi, A. & Bocquet, M. Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error. Nonlinear processes in geophysics 25, (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