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Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion
Submitted by Yulia Milova on 8. December 2020 - 15:07
250711
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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).
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Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
Submitted by Yulia Milova on 27. March 2020 - 17:10
250711
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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).
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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 Yulia Milova on 22. January 2020 - 10:49
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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).
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Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment
Submitted by Yulia Milova on 17. December 2019 - 10:10
56801
76654
BFS2018TMT01
CMEMS69
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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).
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Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system
Submitted by Yulia Milova on 12. December 2019 - 12:04
261743
69
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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
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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 Yulia Milova on 6. September 2019 - 15:11
ITT: EOP-SDR/SWO/084- 17/DFP
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the CMEMS for the Arctic MFC (grant no. 69)
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).
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Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season
Submitted by Yulia Milova on 8. August 2019 - 15:52
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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
.
6:429
, (2019).
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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 Yulia Milova on 1. August 2019 - 15:15
CMEMS 69
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Fujii, Y.
, et al.
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).
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Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter
Submitted by Yulia Milova on 12. October 2018 - 11:57
56801
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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).
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Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept
Submitted by Yulia Milova on 24. April 2018 - 10:47
244262
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Ardhuin, F.
, et al.
Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept
.
Ocean Science
14
, (2018).
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