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Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
Submitted by Bjørnar Røsvik 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 Bjørnar Røsvik on 22. January 2020 - 10:49
nn2993k
NN9481K
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 Bjørnar Røsvik 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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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 Bjørnar Røsvik 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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Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter
Submitted by Bjørnar Røsvik on 12. October 2018 - 11:57
56801
nn2993k
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 Bjørnar Røsvik on 24. April 2018 - 10:47
nn2993k
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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Sea ice data assimilation
Submitted by Bjørnar Røsvik on 15. January 2018 - 16:32
Mercator Océan (Arctic MFC)
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Buehner, M.
,
Bertino, L.
,
Caya, A.
,
Heimbach, P.
&
Smith, G.
Sea ice data assimilation
. (2017).doi:10.1017/9781108277600
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Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991-2013
Submitted by Bjørnar Røsvik on 3. May 2017 - 14:29
nn2993k
ns2993k
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).
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The cold pool of the Bay of Bengal and its association with the break phase of the Indian summer monsoon
Submitted by Bjørnar Røsvik on 2. March 2017 - 11:29
INDO-MARECLIM EU-FP7 295092
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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).
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Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic
Submitted by Bjørnar Røsvik on 29. December 2016 - 18:30
56801
nn2993k
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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).
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