Articles | Volume 8, issue 4
https://doi.org/10.5194/os-8-633-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-8-633-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic
P. Sakov
Nansen Environmental and Remote Sensing Center, Bergen, Norway
CSIRO Marine and Atmospheric Research, Hobart, Australia
F. Counillon
Nansen Environmental and Remote Sensing Center, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
L. Bertino
Nansen Environmental and Remote Sensing Center, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
K. A. Lisæter
Storm Geo AS, Bergen, Norway
P. R. Oke
CSIRO Marine and Atmospheric Research, Hobart, Australia
A. Korablev
Nansen Environmental and Remote Sensing Center, Bergen, Norway
Viewed
Total article views: 7,660 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 10 Apr 2012)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,944 | 3,490 | 226 | 7,660 | 251 | 189 |
- HTML: 3,944
- PDF: 3,490
- XML: 226
- Total: 7,660
- BibTeX: 251
- EndNote: 189
Total article views: 6,794 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 15 Aug 2012)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,583 | 3,025 | 186 | 6,794 | 225 | 179 |
- HTML: 3,583
- PDF: 3,025
- XML: 186
- Total: 6,794
- BibTeX: 225
- EndNote: 179
Total article views: 866 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 10 Apr 2012)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
361 | 465 | 40 | 866 | 26 | 10 |
- HTML: 361
- PDF: 465
- XML: 40
- Total: 866
- BibTeX: 26
- EndNote: 10
Cited
194 citations as recorded by crossref.
- On Serial Observation Processing in Localized Ensemble Kalman Filters L. Nerger 10.1175/MWR-D-14-00182.1
- Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion S. Cheng et al. 10.3390/oceans1040022
- Climate Model State Estimation Using Variants of EnKF Coupled Data Assimilation P. Sandery et al. 10.1175/MWR-D-18-0443.1
- Assimilating NOAA SST data into BSH operational circulation model for the North and Baltic Seas: Part 2. Sensitivity of the forecast's skill to the prior model error statistics S. Losa et al. 10.1016/j.jmarsys.2013.06.011
- Data assimilation for nonlinear systems with a hybrid nonlinear Kalman ensemble transform filter L. Nerger 10.1002/qj.4221
- An assessment of ocean climate reanalysis by the data assimilation system of KIOST from 1947 to 2012 Y. Kim et al. 10.1016/j.ocemod.2015.02.006
- Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al. 10.5194/tc-13-491-2019
- Essentially non-oscillatory and weighted essentially non-oscillatory schemes C. Shu 10.1017/S0962492920000057
- Wave–ice interactions in the marginal ice zone. Part 2: Numerical implementation and sensitivity studies along 1D transects of the ocean surface T. Williams et al. 10.1016/j.ocemod.2013.05.011
- Comparison between a multi-variate nudging method and the ensemble Kalman filter for sea-ice data assimilation S. FRITZNER et al. 10.1017/jog.2018.33
- Assimilation of Sea Surface Temperature in a Global Hybrid Coordinate Ocean Model Y. Chen et al. 10.1007/s00376-018-7284-6
- Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. 10.5194/tc-10-2745-2016
- Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic M. Rabatel et al. 10.5194/tc-12-935-2018
- Modelling of the Svalbard fjord Hornsund J. Jakacki et al. 10.1016/j.oceano.2017.04.004
- Reanalyzing temperature and salinity on decadal time scales using the ensemble optimal interpolation data assimilation method and a 3D ocean circulation model of the Baltic Sea Y. Liu et al. 10.1002/jgrc.20384
- Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery J. Karvonen 10.5194/tc-12-2595-2018
- Copernicus Marine Service Ocean State Report K. von Schuckmann et al. 10.1080/1755876X.2018.1489208
- Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations M. Huntemann et al. 10.5194/tc-8-439-2014
- Assessing the impact of observations on ocean forecasts and reanalyses: Part 1, Global studies P. Oke et al. 10.1080/1755876X.2015.1022067
- On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles A. Farchi & M. Bocquet 10.3389/fams.2019.00003
- Modeling Larval Transport and Settlement of Pink Shrimp in South Florida: Dynamics of Behavior and Tides M. Criales et al. 10.1080/19425120.2014.1001541
- New insights into SMOS sea surface salinity retrievals in the Arctic Ocean A. Supply et al. 10.1016/j.rse.2020.112027
- Impact of data assimilation on vertical velocities in an eddy resolving ocean model G. Pilo et al. 10.1016/j.ocemod.2018.09.003
- Intercomparison of the Arctic sea ice cover in global ocean–sea ice reanalyses from the ORA-IP project M. Chevallier et al. 10.1007/s00382-016-2985-y
- Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography K. Aalstad et al. 10.1016/j.rse.2019.111618
- Experiences in multiyear combined state–parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter E. Simon et al. 10.1016/j.jmarsys.2015.07.004
- From Observation to Information and Users: The Copernicus Marine Service Perspective P. Le Traon et al. 10.3389/fmars.2019.00234
- Impact of Atmospheric and Model Physics Perturbations on a High‐Resolution Ensemble Data Assimilation System of the Red Sea S. Sanikommu et al. 10.1029/2019JC015611
- Assimilation of semi‐qualitative observations with a stochastic ensemble Kalman filter A. Shah et al. 10.1002/qj.3381
- Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation V. Vervatis et al. 10.1016/j.ocemod.2021.101781
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
- Regional-scale phytoplankton dynamics and their association with glacier meltwater runoff in Svalbard T. Dunse et al. 10.5194/bg-19-271-2022
- The role of atmospheric uncertainty in Arctic summer sea ice data assimilation and prediction Q. Yang et al. 10.1002/qj.2523
- Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE J. Johannessen et al. 10.1007/s10712-013-9270-y
- Toward Optimization of Rheology in Sea Ice Models through Data Assimilation J. Stroh et al. 10.1175/JTECH-D-18-0239.1
- State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems S. Vetra-Carvalho et al. 10.1080/16000870.2018.1445364
- Status and future of data assimilation in operational oceanography M. Martin et al. 10.1080/1755876X.2015.1022055
- Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction S. Penny et al. 10.3389/fmars.2019.00391
- On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic E. Ólason et al. 10.5194/tc-15-1053-2021
- Assimilation of remote sensing observations into a sediment transport model of China’s largest freshwater lake: spatial and temporal effects P. Zhang et al. 10.1007/s11356-015-4958-9
- High-Frequency Variability in the Circulation and Hydrography of the Denmark Strait Overflow from a High-Resolution Numerical Model M. Almansi et al. 10.1175/JPO-D-17-0129.1
- Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season G. Smith et al. 10.3389/fmars.2019.00429
- Prediction of Sea Ice Motion With Convolutional Long Short-Term Memory Networks Z. Petrou & Y. Tian 10.1109/TGRS.2019.2909057
- An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
- Relating model bias and prediction skill in the equatorial Atlantic F. Counillon et al. 10.1007/s00382-020-05605-8
- Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories P. Rampal et al. 10.5194/tc-10-1513-2016
- Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter X. Liang et al. 10.1175/JTECH-D-16-0166.1
- Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System X. Liang et al. 10.1029/2019JC015073
- Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks Y. Fujii et al. 10.3389/fmars.2019.00417
- A stochastic operational forecasting system of the Black Sea: Technique and validation L. Vandenbulcke & A. Barth 10.1016/j.ocemod.2015.07.010
- Comparison of EnOI and EnKF regional ocean reanalysis systems P. Sakov & P. Sandery 10.1016/j.ocemod.2015.02.003
- Enhanced Adaptive Inflation Algorithm for Ensemble Filters M. El Gharamti 10.1175/MWR-D-17-0187.1
- Seismic exploration noise reduction in the Marginal Ice Zone D. Tollefsen & H. Sagen 10.1121/1.4885547
- Quantitative assessment of two oil-in-ice surface drift algorithms V. de Aguiar et al. 10.1016/j.marpolbul.2022.113393
- Virtual radar ice buoys – a method for measuring fine-scale sea ice drift J. Karvonen 10.5194/tc-10-29-2016
- Measuring currents, ice drift, and waves from space: the Sea surface KInematics Multiscale monitoring (SKIM) concept F. Ardhuin et al. 10.5194/os-14-337-2018
- Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models F. Richter et al. 10.5194/tc-12-921-2018
- Time series of temperature in Fram Strait determined from the 2008–2009 DAMOCLES acoustic tomography measurements and an ocean model H. Sagen et al. 10.1002/2015JC011591
- Lagrangian transport across the upper Arctic waters in the Canada Basin F. Balibrea‐Iniesta et al. 10.1002/qj.3404
- Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas E. Silva et al. 10.3389/fmars.2021.746327
- Synoptic-scale analysis of mechanisms driving surface chlorophyll dynamics in the North Atlantic A. Ferreira et al. 10.5194/bg-12-3641-2015
- Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
- Empirical error functions for monthly mean Arctic sea‐ice drift H. Sumata et al. 10.1002/2015JC011151
- Ensemble Kalman Filter Parameter Estimation of Ocean Optical Properties for Reduced Biases in a Coupled General Circulation Model V. Kitsios et al. 10.1029/2020MS002252
- Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation S. Metref et al. 10.3390/rs11111336
- Atlantic-Origin Overflow Water in the East Greenland Current L. Håvik et al. 10.1175/JPO-D-18-0216.1
- Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. 10.1080/1755876X.2021.1946240
- CICE-LETKF Ensemble Analysis System with Application to Arctic Sea Ice Initialization X. Liu et al. 10.3390/jmse9090920
- On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses L. Ponsoni et al. 10.5194/tc-13-521-2019
- Artificial Neural Network for the Short-Term Prediction of Arctic Sea Ice Concentration M. Choi et al. 10.3390/rs11091071
- Oceanic ensemble forecasting in the Gulf of Mexico: An application to the case of the Deep Water Horizon oil spill V. Khade et al. 10.1016/j.ocemod.2017.04.004
- Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al. 10.1007/s00382-015-2673-3
- Polar low variability and future projections for the Nordic and Barents Seas O. Landgren et al. 10.1002/qj.3608
- Sea-ice information and forecast needs for industry maritime stakeholders P. Wagner et al. 10.1080/1088937X.2020.1766592
- A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al. 10.5194/npg-21-869-2014
- On the consistency of the local ensemble square root Kalman filter perturbation update M. Bocquet & A. Farchi 10.1080/16000870.2019.1613142
- An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks J. Xie et al. 10.1016/j.rse.2018.02.053
- Sea ice forecast verification in the Canadian Global Ice Ocean Prediction System G. Smith et al. 10.1002/qj.2555
- Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic M. Kimmritz et al. 10.1029/2019MS001825
- Atmospheric forcing of rapid marine-terminating glacier retreat in the Canadian Arctic Archipelago A. Cook et al. 10.1126/sciadv.aau8507
- Assessment of High‐Resolution Dynamical and Machine Learning Models for Prediction of Sea Ice Concentration in a Regional Application S. Fritzner et al. 10.1029/2020JC016277
- The Impact of Summer Arctic Cyclones on Chlorophyll-a Concentration and Sea Surface Temperature in the Kara Sea H. Li et al. 10.1109/JSTARS.2019.2910206
- neXtSIM: a new Lagrangian sea ice model P. Rampal et al. 10.5194/tc-10-1055-2016
- An adaptive quality control procedure for data assimilation P. Sakov & P. Sandery 10.1080/16000870.2017.1318031
- The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis G. Smith et al. 10.5194/gmd-14-1445-2021
- Projected 21st-century changes to Arctic marine access S. Stephenson et al. 10.1007/s10584-012-0685-0
- On the Choice of an Optimal Localization Radius in Ensemble Kalman Filter Methods P. Kirchgessner et al. 10.1175/MWR-D-13-00246.1
- A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans A. Ali et al. 10.1016/j.ocemod.2019.02.005
- ARGO data assimilation into the ocean dynamics model with high spatial resolution using Ensemble Optimal Interpolation (EnOI) M. Kaurkin et al. 10.1134/S0001437016060059
- Medium range sea ice prediction in support of Japanese research vessel MIRAI’s expedition cruise in 2018 L. De Silva et al. 10.1080/1088937X.2019.1707317
- Economic Feasibility and Possibility of Shipping via Northern Sea Route N. Otsuka 10.5988/jime.53.694
- Internal variability of a 3-D ocean model B. Büchmann & J. Söderkvist 10.3402/tellusa.v68.30417
- Evaluation of Oil Spill Modeling in Ice Against In Situ Drifter Data from the Beaufort Sea D. French-McCay et al. 10.7901/2169-3358-2017.1.1523
- Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice A. Samaké et al. 10.1016/j.jcp.2017.08.055
- On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. 10.1017/jog.2019.26
- A comparison of the performance of the 3-D super-ensemble and an ensemble Kalman filter for short-range regional ocean prediction B. Mourre & J. Chiggiato 10.3402/tellusa.v66.21640
- Lagrangian Perspective on the Origins of Denmark Strait Overflow A. Saberi et al. 10.1175/JPO-D-19-0210.1
- Tuning and assessment of the HYCOM-NORWECOM V2.1 biogeochemical modeling system for the North Atlantic and Arctic oceans A. Samuelsen et al. 10.5194/gmd-8-2187-2015
- Bridging observations, theory and numerical simulation of the ocean using machine learning M. Sonnewald et al. 10.1088/1748-9326/ac0eb0
- Implementation of an Adaptive Bias‐Aware Extended Kalman Filter for Sea‐Ice Data Assimilation in the HARMONIE‐AROME Numerical Weather Prediction System Y. Batrak 10.1029/2021MS002533
- Correction of inertial oscillations by assimilation of HF radar data in a model of the Ligurian Sea L. Vandenbulcke et al. 10.1007/s10236-016-1012-5
- Data assimilation by delay-coordinate nudging D. Pazó et al. 10.1002/qj.2732
- RELATIONSHIP BETWEEN SEA ICE CONDITION AND NAVIGABLE SPEED ALONG THE NORTHERN SEA ROUTE N. OTSUKA et al. 10.2208/jscejoe.74.I_25
- Assessment of an ensemble system that assimilates Jason-1/Envisat altimeter data in a probabilistic model of the North Atlantic ocean circulation G. Candille et al. 10.5194/os-11-425-2015
- Altimetry Data Assimilation Into a Numerical Model of Ocean Dynamics in the South Atlantic I. Deinego et al. 10.1134/S0001437021050039
- On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice Y. Aksenov et al. 10.1016/j.marpol.2015.12.027
- Implicitly Localized MCMC Sampler to Cope With Non-local/Non-linear Data Constraints in Large-Size Inverse Problems J. Brankart 10.3389/fams.2019.00058
- Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment T. Singh et al. 10.3389/fmars.2022.775394
- Floe Size Effect on Wave‐Ice Interactions: Possible Effects, Implementation in Wave Model, and Evaluation G. Boutin et al. 10.1029/2017JC013622
- Constraining energetic slope currents through assimilation of high-frequency radar observations A. Sperrevik et al. 10.5194/os-11-237-2015
- NorCPM1 and its contribution to CMIP6 DCPP I. Bethke et al. 10.5194/gmd-14-7073-2021
- Uncertainty of Arctic summer ice drift assessed by high-resolution SAR data H. Sumata et al. 10.1002/2015JC010810
- On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter M. Tondeur et al. 10.1007/s10955-020-02525-z
- Monitoring the spreading of the A mazon freshwater plume by MODIS , SMOS , A quarius, and TOPAZ A. Korosov et al. 10.1002/2014JC010155
- Dynamics of an assembly of rigid ice floes M. Rabatel et al. 10.1002/2015JC010909
- Presentation of the dynamical core of neXtSIM, a new sea ice model S. Bouillon & P. Rampal 10.1016/j.ocemod.2015.04.005
- Ocean Reanalyses: Recent Advances and Unsolved Challenges A. Storto et al. 10.3389/fmars.2019.00418
- An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
- Partitioning of Kinetic Energy in the Arctic Ocean's Beaufort Gyre M. Zhao et al. 10.1029/2018JC014037
- Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
- Satellite-derived multi-year trend in primary production in the Arctic Ocean D. Petrenko et al. 10.1080/01431161.2012.762698
- Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling L. Yu et al. 10.1016/j.ocemod.2018.04.005
- Sea‐surface temperature and salinity product comparison against external in situ data in the A rctic O cean J. Stroh et al. 10.1002/2015JC011005
- Sensitivity of the Arctic sea ice concentration forecasts to different atmospheric forcing: a case study Q. Yang et al. 10.1007/s13131-014-0566-7
- Decorrelation scales for Arctic Ocean hydrography – Part I: Amerasian Basin H. Sumata et al. 10.5194/os-14-161-2018
- Effect of model error representation in the Yellow and East China Sea modeling system based on the ensemble Kalman filter K. Kwon et al. 10.1007/s10236-015-0909-8
- Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation Y. Wang et al. 10.1016/j.ocemod.2017.04.007
- Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model M. Kimmritz et al. 10.1080/16000870.2018.1435945
- Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. 10.1007/s40641-020-00162-y
- Surface currents in operational oceanography: Key applications, mechanisms, and methods J. Röhrs et al. 10.1080/1755876X.2021.1903221
- On Suitability of ALOS-2/PALSAR-2 Dual-Polarized SAR Data for Arctic Sea Ice Parameter Estimation J. Karvonen et al. 10.1109/TGRS.2020.2985696
- Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method G. Lyu et al. 10.1002/qj.4002
- Wave–sea-ice interactions in a brittle rheological framework G. Boutin et al. 10.5194/tc-15-431-2021
- Implementation of a simple thermodynamic sea ice scheme, SICE version 1.0-38h1, within the ALADIN–HIRLAM numerical weather prediction system version 38h1 Y. Batrak et al. 10.5194/gmd-11-3347-2018
- TOC and satellite-sensed chlorophyll and primary production at the Arctic Front in the Nordic Seas K. Børsheim et al. 10.1016/j.jmarsys.2014.07.012
- Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system T. Nakanowatari et al. 10.5194/tc-12-2005-2018
- Short‐term sea ice forecasting: An assessment of ice concentration and ice drift forecasts using the U . S . N avy's A rctic C ap N owcast/ F orecast S ystem D. Hebert et al. 10.1002/2015JC011283
- Storm surge and seiche modelling in the Adriatic Sea and the impact of data assimilation M. Bajo et al. 10.1002/qj.3544
- Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0 C. Sun et al. 10.5194/gmd-14-2635-2021
- On the prediction of storm surges during super cyclone Phailin using a deterministic ensemble Kalman filter A. Chakraborty et al. 10.1080/2150704X.2015.1084549
- Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian Climate Prediction Model F. Counillon et al. 10.3402/tellusa.v68.32437
- The smoother extension of the nonlinear ensemble transform filter P. Kirchgessner et al. 10.1080/16000870.2017.1327766
- Clusters of interannual sea ice variability in the northern hemisphere N. Fučkar et al. 10.1007/s00382-015-2917-2
- Seasonal-to-decadal predictions with the ensemble Kalman filter and the Norwegian Earth System Model: a twin experiment F. Counillon et al. 10.3402/tellusa.v66.21074
- Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
- Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean D. Mignac et al. 10.5194/os-11-195-2015
- DADA: data assimilation for the detection and attribution of weather and climate-related events A. Hannart et al. 10.1007/s10584-016-1595-3
- Towards ensemble data assimilation for the Environment Canada Regional Ice Prediction System A. Shlyaeva et al. 10.1002/qj.2712
- Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts during Xuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
- Assimilation of the AVISO Altimetry Data into the Ocean Dynamics Model with a High Spatial Resolution Using Ensemble Optimal Interpolation (EnOI) M. Kaurkin et al. 10.1134/S0001433818010073
- An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports V. Lien et al. 10.1016/j.ocemod.2015.12.010
- Risk of oil contamination of fish eggs and larvae under different oceanic and weather conditions A. Samuelsen et al. 10.1093/icesjms/fsz035
- A Maxwell elasto-brittle rheology for sea ice modelling V. Dansereau et al. 10.5194/tc-10-1339-2016
- Global warming leading to alarming recession of the Arctic sea-ice cover: Insights from remote sensing observations and model reanalysis A. Kumar et al. 10.1016/j.heliyon.2020.e04355
- Generalized Kalman Filter and Ensemble Optimal Interpolation, Their Comparison and Application to the Hybrid Coordinate Ocean Model K. Belyaev et al. 10.3390/math9192371
- State-of-the-Art Oil Spill Trajectory Prediction in Ice Infested Waters: A Journey from High Resolution Arctic-Wide Satellite Data to Advanced Oil Spill Trajectory Modeling-What You Need to Know C. Beegle-Krause et al. 10.7901/2169-3358-2017.1.1507
- Reflection and transmission of ocean wave spectra by a band of randomly distributed ice floes F. Montiel et al. 10.3189/2015AoG69A556
- Data assimilative twin-experiment in a high-resolution Bay of Biscay configuration: 4DEnOI based on stochastic modeling of the wind forcing V. Vervatis et al. 10.1016/j.ocemod.2016.01.003
- Improved Sea Ice Concentration Estimation Through Fusing Classified SAR Imagery and AMSR-E Data L. Wang et al. 10.1080/07038992.2016.1152547
- Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration S. Chatterjee et al. 10.5194/tc-15-1307-2021
- Review article: Comparison of local particle filters and new implementations A. Farchi & M. Bocquet 10.5194/npg-25-765-2018
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
- Combining Argo and Satellite Data Using Model-Derived Covariances: Blue Maps P. Oke et al. 10.3389/feart.2021.696985
- Role of Greenland Sea Gyre Circulation on Atlantic Water Temperature Variability in the Fram Strait S. Chatterjee et al. 10.1029/2018GL079174
- Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter F. Gillet-Chaulet 10.5194/tc-14-811-2020
- Synthesis of new scientific challenges for GODAE OceanView A. Schiller et al. 10.1080/1755876X.2015.1049901
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
- Calibration of sea ice drift forecasts using random forest algorithms C. Palerme & M. Müller 10.5194/tc-15-3989-2021
- Evaluation of a global eddy-permitting hybrid coordinate ocean model Y. CHEN et al. 10.1080/16742834.2018.1490625
- Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem S. Metref et al. 10.1002/qj.3513
- Economy, society and governance in the Arctic: Overview of ArCS research project in the field of humanities and social sciences (2015–2020) S. Tabata et al. 10.1016/j.polar.2020.100600
- On the assimilation of absolute geodetic dynamic topography in a global ocean model: impact on the deep ocean state A. Androsov et al. 10.1007/s00190-018-1151-1
- Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model P. Dai et al. 10.1007/s00382-020-05196-4
- Research priorities in support of ocean monitoring and forecasting at the Met Office J. Siddorn et al. 10.5194/os-12-217-2016
- Relaxation Method for Assimilation of Sea Ice Concentration Data in the NEMO—LIM3 Multicategory Sea Ice Model B. Strukov et al. 10.3103/S1068373920020053
- Modelling the long-term evolution of worst-case Arctic oil spills H. Blanken et al. 10.1016/j.marpolbul.2016.12.070
- Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F T. Williams et al. 10.5194/tc-15-3207-2021
- Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system T. Nakanowatari et al. 10.1016/j.envres.2022.112769
- Data assimilation in a coupled physical-biogeochemical model of the California Current System using an incremental lognormal 4-dimensional variational approach: Part 2—Joint physical and biological data assimilation twin experiments H. Song et al. 10.1016/j.ocemod.2016.09.003
- Seasonal Variability in Warm-Water Inflow toward Kangerdlugssuaq Fjord R. Gelderloos et al. 10.1175/JPO-D-16-0202.1
- Can Environmental Conditions at North Atlantic Deep-Sea Habitats Be Predicted Several Years Ahead? ——Taking Sponge Habitats as an Example F. Liu et al. 10.3389/fmars.2021.703297
- An intercomparison of Arctic ice drift products to deduce uncertainty estimates H. Sumata et al. 10.1002/2013JC009724
- Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4 Y. Xiu et al. 10.1017/jog.2020.110
- Surface Elevation Change of Glaciers Along the Coast of Prudhoe Land, Northwestern Greenland From 1985 to 2018 Y. Wang et al. 10.1029/2020JF006038
- Topographical Control of the Source‐Sink and Wind Stress‐Driven Planetary Geostrophic Circulation in a Polar Basin E. Gavilan Pascual‐Ahuir et al. 10.1029/2019JC015571
- Arctic sea ice concentration and thickness data assimilation in the FIO-ESM climate forecast system Q. Shu et al. 10.1007/s13131-021-1768-4
- Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. 10.1016/j.jmarsys.2016.12.003
- Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean A. Barth et al. 10.1016/j.ocemod.2015.07.011
- Annual and seasonal fCO2 and air–sea CO2 fluxes in the Barents Sea S. Lauvset et al. 10.1016/j.jmarsys.2012.12.011
- Interannual variations and trend of the production of inorganic carbon by coccolithophores in the arctic in 2002–2010 based on satellite data D. Petrenko et al. 10.1134/S0001433813090119
- On the multi-fractal scaling properties of sea ice deformation P. Rampal et al. 10.5194/tc-13-2457-2019
- Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
- Comparisons of different ensemble schemes for glider data assimilation on West Florida Shelf C. Pan et al. 10.1016/j.ocemod.2014.06.005
- Evaluation of the tropical variability from the Beijing Climate Center’s real-time operational global Ocean Data Assimilation System W. Zhou et al. 10.1007/s00376-015-4282-9
188 citations as recorded by crossref.
- On Serial Observation Processing in Localized Ensemble Kalman Filters L. Nerger 10.1175/MWR-D-14-00182.1
- Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion S. Cheng et al. 10.3390/oceans1040022
- Climate Model State Estimation Using Variants of EnKF Coupled Data Assimilation P. Sandery et al. 10.1175/MWR-D-18-0443.1
- Assimilating NOAA SST data into BSH operational circulation model for the North and Baltic Seas: Part 2. Sensitivity of the forecast's skill to the prior model error statistics S. Losa et al. 10.1016/j.jmarsys.2013.06.011
- Data assimilation for nonlinear systems with a hybrid nonlinear Kalman ensemble transform filter L. Nerger 10.1002/qj.4221
- An assessment of ocean climate reanalysis by the data assimilation system of KIOST from 1947 to 2012 Y. Kim et al. 10.1016/j.ocemod.2015.02.006
- Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al. 10.5194/tc-13-491-2019
- Essentially non-oscillatory and weighted essentially non-oscillatory schemes C. Shu 10.1017/S0962492920000057
- Wave–ice interactions in the marginal ice zone. Part 2: Numerical implementation and sensitivity studies along 1D transects of the ocean surface T. Williams et al. 10.1016/j.ocemod.2013.05.011
- Comparison between a multi-variate nudging method and the ensemble Kalman filter for sea-ice data assimilation S. FRITZNER et al. 10.1017/jog.2018.33
- Assimilation of Sea Surface Temperature in a Global Hybrid Coordinate Ocean Model Y. Chen et al. 10.1007/s00376-018-7284-6
- Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. 10.5194/tc-10-2745-2016
- Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic M. Rabatel et al. 10.5194/tc-12-935-2018
- Modelling of the Svalbard fjord Hornsund J. Jakacki et al. 10.1016/j.oceano.2017.04.004
- Reanalyzing temperature and salinity on decadal time scales using the ensemble optimal interpolation data assimilation method and a 3D ocean circulation model of the Baltic Sea Y. Liu et al. 10.1002/jgrc.20384
- Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery J. Karvonen 10.5194/tc-12-2595-2018
- Copernicus Marine Service Ocean State Report K. von Schuckmann et al. 10.1080/1755876X.2018.1489208
- Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations M. Huntemann et al. 10.5194/tc-8-439-2014
- Assessing the impact of observations on ocean forecasts and reanalyses: Part 1, Global studies P. Oke et al. 10.1080/1755876X.2015.1022067
- On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles A. Farchi & M. Bocquet 10.3389/fams.2019.00003
- Modeling Larval Transport and Settlement of Pink Shrimp in South Florida: Dynamics of Behavior and Tides M. Criales et al. 10.1080/19425120.2014.1001541
- New insights into SMOS sea surface salinity retrievals in the Arctic Ocean A. Supply et al. 10.1016/j.rse.2020.112027
- Impact of data assimilation on vertical velocities in an eddy resolving ocean model G. Pilo et al. 10.1016/j.ocemod.2018.09.003
- Intercomparison of the Arctic sea ice cover in global ocean–sea ice reanalyses from the ORA-IP project M. Chevallier et al. 10.1007/s00382-016-2985-y
- Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography K. Aalstad et al. 10.1016/j.rse.2019.111618
- Experiences in multiyear combined state–parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter E. Simon et al. 10.1016/j.jmarsys.2015.07.004
- From Observation to Information and Users: The Copernicus Marine Service Perspective P. Le Traon et al. 10.3389/fmars.2019.00234
- Impact of Atmospheric and Model Physics Perturbations on a High‐Resolution Ensemble Data Assimilation System of the Red Sea S. Sanikommu et al. 10.1029/2019JC015611
- Assimilation of semi‐qualitative observations with a stochastic ensemble Kalman filter A. Shah et al. 10.1002/qj.3381
- Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation V. Vervatis et al. 10.1016/j.ocemod.2021.101781
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
- Regional-scale phytoplankton dynamics and their association with glacier meltwater runoff in Svalbard T. Dunse et al. 10.5194/bg-19-271-2022
- The role of atmospheric uncertainty in Arctic summer sea ice data assimilation and prediction Q. Yang et al. 10.1002/qj.2523
- Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE J. Johannessen et al. 10.1007/s10712-013-9270-y
- Toward Optimization of Rheology in Sea Ice Models through Data Assimilation J. Stroh et al. 10.1175/JTECH-D-18-0239.1
- State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems S. Vetra-Carvalho et al. 10.1080/16000870.2018.1445364
- Status and future of data assimilation in operational oceanography M. Martin et al. 10.1080/1755876X.2015.1022055
- Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction S. Penny et al. 10.3389/fmars.2019.00391
- On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic E. Ólason et al. 10.5194/tc-15-1053-2021
- Assimilation of remote sensing observations into a sediment transport model of China’s largest freshwater lake: spatial and temporal effects P. Zhang et al. 10.1007/s11356-015-4958-9
- High-Frequency Variability in the Circulation and Hydrography of the Denmark Strait Overflow from a High-Resolution Numerical Model M. Almansi et al. 10.1175/JPO-D-17-0129.1
- Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season G. Smith et al. 10.3389/fmars.2019.00429
- Prediction of Sea Ice Motion With Convolutional Long Short-Term Memory Networks Z. Petrou & Y. Tian 10.1109/TGRS.2019.2909057
- An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
- Relating model bias and prediction skill in the equatorial Atlantic F. Counillon et al. 10.1007/s00382-020-05605-8
- Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories P. Rampal et al. 10.5194/tc-10-1513-2016
- Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter X. Liang et al. 10.1175/JTECH-D-16-0166.1
- Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System X. Liang et al. 10.1029/2019JC015073
- Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks Y. Fujii et al. 10.3389/fmars.2019.00417
- A stochastic operational forecasting system of the Black Sea: Technique and validation L. Vandenbulcke & A. Barth 10.1016/j.ocemod.2015.07.010
- Comparison of EnOI and EnKF regional ocean reanalysis systems P. Sakov & P. Sandery 10.1016/j.ocemod.2015.02.003
- Enhanced Adaptive Inflation Algorithm for Ensemble Filters M. El Gharamti 10.1175/MWR-D-17-0187.1
- Seismic exploration noise reduction in the Marginal Ice Zone D. Tollefsen & H. Sagen 10.1121/1.4885547
- Quantitative assessment of two oil-in-ice surface drift algorithms V. de Aguiar et al. 10.1016/j.marpolbul.2022.113393
- Virtual radar ice buoys – a method for measuring fine-scale sea ice drift J. Karvonen 10.5194/tc-10-29-2016
- Measuring currents, ice drift, and waves from space: the Sea surface KInematics Multiscale monitoring (SKIM) concept F. Ardhuin et al. 10.5194/os-14-337-2018
- Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models F. Richter et al. 10.5194/tc-12-921-2018
- Time series of temperature in Fram Strait determined from the 2008–2009 DAMOCLES acoustic tomography measurements and an ocean model H. Sagen et al. 10.1002/2015JC011591
- Lagrangian transport across the upper Arctic waters in the Canada Basin F. Balibrea‐Iniesta et al. 10.1002/qj.3404
- Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas E. Silva et al. 10.3389/fmars.2021.746327
- Synoptic-scale analysis of mechanisms driving surface chlorophyll dynamics in the North Atlantic A. Ferreira et al. 10.5194/bg-12-3641-2015
- Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
- Empirical error functions for monthly mean Arctic sea‐ice drift H. Sumata et al. 10.1002/2015JC011151
- Ensemble Kalman Filter Parameter Estimation of Ocean Optical Properties for Reduced Biases in a Coupled General Circulation Model V. Kitsios et al. 10.1029/2020MS002252
- Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation S. Metref et al. 10.3390/rs11111336
- Atlantic-Origin Overflow Water in the East Greenland Current L. Håvik et al. 10.1175/JPO-D-18-0216.1
- Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. 10.1080/1755876X.2021.1946240
- CICE-LETKF Ensemble Analysis System with Application to Arctic Sea Ice Initialization X. Liu et al. 10.3390/jmse9090920
- On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses L. Ponsoni et al. 10.5194/tc-13-521-2019
- Artificial Neural Network for the Short-Term Prediction of Arctic Sea Ice Concentration M. Choi et al. 10.3390/rs11091071
- Oceanic ensemble forecasting in the Gulf of Mexico: An application to the case of the Deep Water Horizon oil spill V. Khade et al. 10.1016/j.ocemod.2017.04.004
- Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al. 10.1007/s00382-015-2673-3
- Polar low variability and future projections for the Nordic and Barents Seas O. Landgren et al. 10.1002/qj.3608
- Sea-ice information and forecast needs for industry maritime stakeholders P. Wagner et al. 10.1080/1088937X.2020.1766592
- A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al. 10.5194/npg-21-869-2014
- On the consistency of the local ensemble square root Kalman filter perturbation update M. Bocquet & A. Farchi 10.1080/16000870.2019.1613142
- An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks J. Xie et al. 10.1016/j.rse.2018.02.053
- Sea ice forecast verification in the Canadian Global Ice Ocean Prediction System G. Smith et al. 10.1002/qj.2555
- Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic M. Kimmritz et al. 10.1029/2019MS001825
- Atmospheric forcing of rapid marine-terminating glacier retreat in the Canadian Arctic Archipelago A. Cook et al. 10.1126/sciadv.aau8507
- Assessment of High‐Resolution Dynamical and Machine Learning Models for Prediction of Sea Ice Concentration in a Regional Application S. Fritzner et al. 10.1029/2020JC016277
- The Impact of Summer Arctic Cyclones on Chlorophyll-a Concentration and Sea Surface Temperature in the Kara Sea H. Li et al. 10.1109/JSTARS.2019.2910206
- neXtSIM: a new Lagrangian sea ice model P. Rampal et al. 10.5194/tc-10-1055-2016
- An adaptive quality control procedure for data assimilation P. Sakov & P. Sandery 10.1080/16000870.2017.1318031
- The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis G. Smith et al. 10.5194/gmd-14-1445-2021
- Projected 21st-century changes to Arctic marine access S. Stephenson et al. 10.1007/s10584-012-0685-0
- On the Choice of an Optimal Localization Radius in Ensemble Kalman Filter Methods P. Kirchgessner et al. 10.1175/MWR-D-13-00246.1
- A comparison of Langmuir turbulence parameterizations and key wave effects in a numerical model of the North Atlantic and Arctic Oceans A. Ali et al. 10.1016/j.ocemod.2019.02.005
- ARGO data assimilation into the ocean dynamics model with high spatial resolution using Ensemble Optimal Interpolation (EnOI) M. Kaurkin et al. 10.1134/S0001437016060059
- Medium range sea ice prediction in support of Japanese research vessel MIRAI’s expedition cruise in 2018 L. De Silva et al. 10.1080/1088937X.2019.1707317
- Economic Feasibility and Possibility of Shipping via Northern Sea Route N. Otsuka 10.5988/jime.53.694
- Internal variability of a 3-D ocean model B. Büchmann & J. Söderkvist 10.3402/tellusa.v68.30417
- Evaluation of Oil Spill Modeling in Ice Against In Situ Drifter Data from the Beaufort Sea D. French-McCay et al. 10.7901/2169-3358-2017.1.1523
- Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice A. Samaké et al. 10.1016/j.jcp.2017.08.055
- On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. 10.1017/jog.2019.26
- A comparison of the performance of the 3-D super-ensemble and an ensemble Kalman filter for short-range regional ocean prediction B. Mourre & J. Chiggiato 10.3402/tellusa.v66.21640
- Lagrangian Perspective on the Origins of Denmark Strait Overflow A. Saberi et al. 10.1175/JPO-D-19-0210.1
- Tuning and assessment of the HYCOM-NORWECOM V2.1 biogeochemical modeling system for the North Atlantic and Arctic oceans A. Samuelsen et al. 10.5194/gmd-8-2187-2015
- Bridging observations, theory and numerical simulation of the ocean using machine learning M. Sonnewald et al. 10.1088/1748-9326/ac0eb0
- Implementation of an Adaptive Bias‐Aware Extended Kalman Filter for Sea‐Ice Data Assimilation in the HARMONIE‐AROME Numerical Weather Prediction System Y. Batrak 10.1029/2021MS002533
- Correction of inertial oscillations by assimilation of HF radar data in a model of the Ligurian Sea L. Vandenbulcke et al. 10.1007/s10236-016-1012-5
- Data assimilation by delay-coordinate nudging D. Pazó et al. 10.1002/qj.2732
- RELATIONSHIP BETWEEN SEA ICE CONDITION AND NAVIGABLE SPEED ALONG THE NORTHERN SEA ROUTE N. OTSUKA et al. 10.2208/jscejoe.74.I_25
- Assessment of an ensemble system that assimilates Jason-1/Envisat altimeter data in a probabilistic model of the North Atlantic ocean circulation G. Candille et al. 10.5194/os-11-425-2015
- Altimetry Data Assimilation Into a Numerical Model of Ocean Dynamics in the South Atlantic I. Deinego et al. 10.1134/S0001437021050039
- On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice Y. Aksenov et al. 10.1016/j.marpol.2015.12.027
- Implicitly Localized MCMC Sampler to Cope With Non-local/Non-linear Data Constraints in Large-Size Inverse Problems J. Brankart 10.3389/fams.2019.00058
- Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment T. Singh et al. 10.3389/fmars.2022.775394
- Floe Size Effect on Wave‐Ice Interactions: Possible Effects, Implementation in Wave Model, and Evaluation G. Boutin et al. 10.1029/2017JC013622
- Constraining energetic slope currents through assimilation of high-frequency radar observations A. Sperrevik et al. 10.5194/os-11-237-2015
- NorCPM1 and its contribution to CMIP6 DCPP I. Bethke et al. 10.5194/gmd-14-7073-2021
- Uncertainty of Arctic summer ice drift assessed by high-resolution SAR data H. Sumata et al. 10.1002/2015JC010810
- On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter M. Tondeur et al. 10.1007/s10955-020-02525-z
- Monitoring the spreading of the A mazon freshwater plume by MODIS , SMOS , A quarius, and TOPAZ A. Korosov et al. 10.1002/2014JC010155
- Dynamics of an assembly of rigid ice floes M. Rabatel et al. 10.1002/2015JC010909
- Presentation of the dynamical core of neXtSIM, a new sea ice model S. Bouillon & P. Rampal 10.1016/j.ocemod.2015.04.005
- Ocean Reanalyses: Recent Advances and Unsolved Challenges A. Storto et al. 10.3389/fmars.2019.00418
- An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
- Partitioning of Kinetic Energy in the Arctic Ocean's Beaufort Gyre M. Zhao et al. 10.1029/2018JC014037
- Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
- Satellite-derived multi-year trend in primary production in the Arctic Ocean D. Petrenko et al. 10.1080/01431161.2012.762698
- Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling L. Yu et al. 10.1016/j.ocemod.2018.04.005
- Sea‐surface temperature and salinity product comparison against external in situ data in the A rctic O cean J. Stroh et al. 10.1002/2015JC011005
- Sensitivity of the Arctic sea ice concentration forecasts to different atmospheric forcing: a case study Q. Yang et al. 10.1007/s13131-014-0566-7
- Decorrelation scales for Arctic Ocean hydrography – Part I: Amerasian Basin H. Sumata et al. 10.5194/os-14-161-2018
- Effect of model error representation in the Yellow and East China Sea modeling system based on the ensemble Kalman filter K. Kwon et al. 10.1007/s10236-015-0909-8
- Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation Y. Wang et al. 10.1016/j.ocemod.2017.04.007
- Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model M. Kimmritz et al. 10.1080/16000870.2018.1435945
- Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. 10.1007/s40641-020-00162-y
- Surface currents in operational oceanography: Key applications, mechanisms, and methods J. Röhrs et al. 10.1080/1755876X.2021.1903221
- On Suitability of ALOS-2/PALSAR-2 Dual-Polarized SAR Data for Arctic Sea Ice Parameter Estimation J. Karvonen et al. 10.1109/TGRS.2020.2985696
- Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method G. Lyu et al. 10.1002/qj.4002
- Wave–sea-ice interactions in a brittle rheological framework G. Boutin et al. 10.5194/tc-15-431-2021
- Implementation of a simple thermodynamic sea ice scheme, SICE version 1.0-38h1, within the ALADIN–HIRLAM numerical weather prediction system version 38h1 Y. Batrak et al. 10.5194/gmd-11-3347-2018
- TOC and satellite-sensed chlorophyll and primary production at the Arctic Front in the Nordic Seas K. Børsheim et al. 10.1016/j.jmarsys.2014.07.012
- Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system T. Nakanowatari et al. 10.5194/tc-12-2005-2018
- Short‐term sea ice forecasting: An assessment of ice concentration and ice drift forecasts using the U . S . N avy's A rctic C ap N owcast/ F orecast S ystem D. Hebert et al. 10.1002/2015JC011283
- Storm surge and seiche modelling in the Adriatic Sea and the impact of data assimilation M. Bajo et al. 10.1002/qj.3544
- Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0 C. Sun et al. 10.5194/gmd-14-2635-2021
- On the prediction of storm surges during super cyclone Phailin using a deterministic ensemble Kalman filter A. Chakraborty et al. 10.1080/2150704X.2015.1084549
- Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian Climate Prediction Model F. Counillon et al. 10.3402/tellusa.v68.32437
- The smoother extension of the nonlinear ensemble transform filter P. Kirchgessner et al. 10.1080/16000870.2017.1327766
- Clusters of interannual sea ice variability in the northern hemisphere N. Fučkar et al. 10.1007/s00382-015-2917-2
- Seasonal-to-decadal predictions with the ensemble Kalman filter and the Norwegian Earth System Model: a twin experiment F. Counillon et al. 10.3402/tellusa.v66.21074
- Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
- Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean D. Mignac et al. 10.5194/os-11-195-2015
- DADA: data assimilation for the detection and attribution of weather and climate-related events A. Hannart et al. 10.1007/s10584-016-1595-3
- Towards ensemble data assimilation for the Environment Canada Regional Ice Prediction System A. Shlyaeva et al. 10.1002/qj.2712
- Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts during Xuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
- Assimilation of the AVISO Altimetry Data into the Ocean Dynamics Model with a High Spatial Resolution Using Ensemble Optimal Interpolation (EnOI) M. Kaurkin et al. 10.1134/S0001433818010073
- An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports V. Lien et al. 10.1016/j.ocemod.2015.12.010
- Risk of oil contamination of fish eggs and larvae under different oceanic and weather conditions A. Samuelsen et al. 10.1093/icesjms/fsz035
- A Maxwell elasto-brittle rheology for sea ice modelling V. Dansereau et al. 10.5194/tc-10-1339-2016
- Global warming leading to alarming recession of the Arctic sea-ice cover: Insights from remote sensing observations and model reanalysis A. Kumar et al. 10.1016/j.heliyon.2020.e04355
- Generalized Kalman Filter and Ensemble Optimal Interpolation, Their Comparison and Application to the Hybrid Coordinate Ocean Model K. Belyaev et al. 10.3390/math9192371
- State-of-the-Art Oil Spill Trajectory Prediction in Ice Infested Waters: A Journey from High Resolution Arctic-Wide Satellite Data to Advanced Oil Spill Trajectory Modeling-What You Need to Know C. Beegle-Krause et al. 10.7901/2169-3358-2017.1.1507
- Reflection and transmission of ocean wave spectra by a band of randomly distributed ice floes F. Montiel et al. 10.3189/2015AoG69A556
- Data assimilative twin-experiment in a high-resolution Bay of Biscay configuration: 4DEnOI based on stochastic modeling of the wind forcing V. Vervatis et al. 10.1016/j.ocemod.2016.01.003
- Improved Sea Ice Concentration Estimation Through Fusing Classified SAR Imagery and AMSR-E Data L. Wang et al. 10.1080/07038992.2016.1152547
- Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration S. Chatterjee et al. 10.5194/tc-15-1307-2021
- Review article: Comparison of local particle filters and new implementations A. Farchi & M. Bocquet 10.5194/npg-25-765-2018
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
- Combining Argo and Satellite Data Using Model-Derived Covariances: Blue Maps P. Oke et al. 10.3389/feart.2021.696985
- Role of Greenland Sea Gyre Circulation on Atlantic Water Temperature Variability in the Fram Strait S. Chatterjee et al. 10.1029/2018GL079174
- Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter F. Gillet-Chaulet 10.5194/tc-14-811-2020
- Synthesis of new scientific challenges for GODAE OceanView A. Schiller et al. 10.1080/1755876X.2015.1049901
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
- Calibration of sea ice drift forecasts using random forest algorithms C. Palerme & M. Müller 10.5194/tc-15-3989-2021
- Evaluation of a global eddy-permitting hybrid coordinate ocean model Y. CHEN et al. 10.1080/16742834.2018.1490625
- Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem S. Metref et al. 10.1002/qj.3513
- Economy, society and governance in the Arctic: Overview of ArCS research project in the field of humanities and social sciences (2015–2020) S. Tabata et al. 10.1016/j.polar.2020.100600
- On the assimilation of absolute geodetic dynamic topography in a global ocean model: impact on the deep ocean state A. Androsov et al. 10.1007/s00190-018-1151-1
- Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model P. Dai et al. 10.1007/s00382-020-05196-4
- Research priorities in support of ocean monitoring and forecasting at the Met Office J. Siddorn et al. 10.5194/os-12-217-2016
- Relaxation Method for Assimilation of Sea Ice Concentration Data in the NEMO—LIM3 Multicategory Sea Ice Model B. Strukov et al. 10.3103/S1068373920020053
- Modelling the long-term evolution of worst-case Arctic oil spills H. Blanken et al. 10.1016/j.marpolbul.2016.12.070
- Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F T. Williams et al. 10.5194/tc-15-3207-2021
- Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system T. Nakanowatari et al. 10.1016/j.envres.2022.112769
- Data assimilation in a coupled physical-biogeochemical model of the California Current System using an incremental lognormal 4-dimensional variational approach: Part 2—Joint physical and biological data assimilation twin experiments H. Song et al. 10.1016/j.ocemod.2016.09.003
- Seasonal Variability in Warm-Water Inflow toward Kangerdlugssuaq Fjord R. Gelderloos et al. 10.1175/JPO-D-16-0202.1
- Can Environmental Conditions at North Atlantic Deep-Sea Habitats Be Predicted Several Years Ahead? ——Taking Sponge Habitats as an Example F. Liu et al. 10.3389/fmars.2021.703297
- An intercomparison of Arctic ice drift products to deduce uncertainty estimates H. Sumata et al. 10.1002/2013JC009724
- Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4 Y. Xiu et al. 10.1017/jog.2020.110
- Surface Elevation Change of Glaciers Along the Coast of Prudhoe Land, Northwestern Greenland From 1985 to 2018 Y. Wang et al. 10.1029/2020JF006038
- Topographical Control of the Source‐Sink and Wind Stress‐Driven Planetary Geostrophic Circulation in a Polar Basin E. Gavilan Pascual‐Ahuir et al. 10.1029/2019JC015571
- Arctic sea ice concentration and thickness data assimilation in the FIO-ESM climate forecast system Q. Shu et al. 10.1007/s13131-021-1768-4
- Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. 10.1016/j.jmarsys.2016.12.003
- Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean A. Barth et al. 10.1016/j.ocemod.2015.07.011
6 citations as recorded by crossref.
- Annual and seasonal fCO2 and air–sea CO2 fluxes in the Barents Sea S. Lauvset et al. 10.1016/j.jmarsys.2012.12.011
- Interannual variations and trend of the production of inorganic carbon by coccolithophores in the arctic in 2002–2010 based on satellite data D. Petrenko et al. 10.1134/S0001433813090119
- On the multi-fractal scaling properties of sea ice deformation P. Rampal et al. 10.5194/tc-13-2457-2019
- Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
- Comparisons of different ensemble schemes for glider data assimilation on West Florida Shelf C. Pan et al. 10.1016/j.ocemod.2014.06.005
- Evaluation of the tropical variability from the Beijing Climate Center’s real-time operational global Ocean Data Assimilation System W. Zhou et al. 10.1007/s00376-015-4282-9
Saved (final revised paper)
Saved (final revised paper)
Saved (preprint)
Discussed (final revised paper)
Latest update: 04 Jun 2023