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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 - 11:35
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NS9043K
Nakanowatari, T.
, et al.
Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system
.
Environmental Research Letters
209
, (2022).
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Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration.
Submitted by webadmin on 16. March 2021 - 12:41
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Chatterjee, S.
, et al.
Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration.
The Cryosphere
15
, (2021).
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Copernicus Marine Service Ocean State Report, issue 4
Submitted by webadmin on 12. February 2021 - 13:07
CMEMS: ARC MFC SI TAC
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von Schuckmann, K.
, et al.
Copernicus Marine Service Ocean State Report, issue 4
.
Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology
13
, (2020).
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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 - 16:07
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).doi:10.3390/oceans1040022
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Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
Submitted by webadmin on 27. March 2020 - 18:10
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 webadmin on 22. January 2020 - 11:49
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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
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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 webadmin on 17. December 2019 - 11:10
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 A: Dynamic Meteorology and Oceanography
72
, (2019).
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Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system
Submitted by webadmin on 12. December 2019 - 13:04
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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 webadmin on 6. September 2019 - 16:11
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 webadmin on 8. August 2019 - 16:52
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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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