240 citations as recorded by crossref.

1. On Serial Observation Processing in Localized Ensemble Kalman Filters L. Nerger 10.1175/MWR-D-14-00182.1
2. 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
3. Climate Model State Estimation Using Variants of EnKF Coupled Data Assimilation P. Sandery et al. 10.1175/MWR-D-18-0443.1
4. 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
5. Data assimilation for nonlinear systems with a hybrid nonlinear Kalman ensemble transform filter L. Nerger 10.1002/qj.4221
6. 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
7. 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
8. Essentially non-oscillatory and weighted essentially non-oscillatory schemes C. Shu 10.1017/S0962492920000057
9. 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
10. 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
11. Assimilation of Sea Surface Temperature in a Global Hybrid Coordinate Ocean Model Y. Chen et al. 10.1007/s00376-018-7284-6
12. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. 10.5194/tc-10-2745-2016
13. 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
14. Modelling of the Svalbard fjord Hornsund J. Jakacki et al. 10.1016/j.oceano.2017.04.004
15. 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
16. Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery J. Karvonen 10.5194/tc-12-2595-2018
17. Copernicus Marine Service Ocean State Report K. von Schuckmann et al. 10.1080/1755876X.2018.1489208
18. 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
19. Assessing the impact of observations on ocean forecasts and reanalyses: Part 1, Global studies P. Oke et al. 10.1080/1755876X.2015.1022067
20. On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles A. Farchi & M. Bocquet 10.3389/fams.2019.00003
21. SIMUG – finite element model of sea ice dynamics on triangular grid in local Cartesian basis S. Petrov & N. Iakovlev 10.1515/rnam-2023-0012
22. 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
23. New insights into SMOS sea surface salinity retrievals in the Arctic Ocean A. Supply et al. 10.1016/j.rse.2020.112027
24. Impact of data assimilation on vertical velocities in an eddy resolving ocean model G. Pilo et al. 10.1016/j.ocemod.2018.09.003
25. 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
26. 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
27. A New Brittle Rheology and Numerical Framework for Large‐Scale Sea‐Ice Models E. Ólason et al. 10.1029/2021MS002685
28. Pathfinding and optimization for vessels in ice: A literature review T. Tran et al. 10.1016/j.coldregions.2023.103876
29. 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
30. From Observation to Information and Users: The Copernicus Marine Service Perspective P. Le Traon et al. 10.3389/fmars.2019.00234
31. 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
32. Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM L. Garcia-Oliva et al. 10.1007/s00382-024-07170-w
33. Assimilation of semi‐qualitative observations with a stochastic ensemble Kalman filter A. Shah et al. 10.1002/qj.3381
34. Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation V. Vervatis et al. 10.1016/j.ocemod.2021.101781
35. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
36. Regional-scale phytoplankton dynamics and their association with glacier meltwater runoff in Svalbard T. Dunse et al. 10.5194/bg-19-271-2022
37. The role of atmospheric uncertainty in Arctic summer sea ice data assimilation and prediction Q. Yang et al. 10.1002/qj.2523
38. 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
39. Toward Optimization of Rheology in Sea Ice Models through Data Assimilation J. Stroh et al. 10.1175/JTECH-D-18-0239.1
40. State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems S. Vetra-Carvalho et al. 10.1080/16000870.2018.1445364
41. Status and future of data assimilation in operational oceanography M. Martin et al. 10.1080/1755876X.2015.1022055
42. Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction S. Penny et al. 10.3389/fmars.2019.00391
43. 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
44. 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
45. Super-resolution data assimilation S. Barthélémy et al. 10.1007/s10236-022-01523-x
46. 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
47. 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
48. Prediction of Sea Ice Motion With Convolutional Long Short-Term Memory Networks Z. Petrou & Y. Tian 10.1109/TGRS.2019.2909057
49. Covariance Matrix Estimation for Ensemble-Based Kalman Filters with Multiple Ensembles S. Gratton et al. 10.1007/s11004-023-10063-z
50. A Mid- and Long-Term Arctic Sea Ice Concentration Prediction Model Based on Deep Learning Technology Q. Zheng et al. 10.3390/rs14122889
51. An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
52. Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
53. Relating model bias and prediction skill in the equatorial Atlantic F. Counillon et al. 10.1007/s00382-020-05605-8
54. Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories P. Rampal et al. 10.5194/tc-10-1513-2016
55. 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
56. 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
57. 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
58. A stochastic operational forecasting system of the Black Sea: Technique and validation L. Vandenbulcke & A. Barth 10.1016/j.ocemod.2015.07.010
59. Comparison of EnOI and EnKF regional ocean reanalysis systems P. Sakov & P. Sandery 10.1016/j.ocemod.2015.02.003
60. Enhanced Adaptive Inflation Algorithm for Ensemble Filters M. El Gharamti 10.1175/MWR-D-17-0187.1
61. Seismic exploration noise reduction in the Marginal Ice Zone D. Tollefsen & H. Sagen 10.1121/1.4885547
62. Quantitative assessment of two oil-in-ice surface drift algorithms V. de Aguiar et al. 10.1016/j.marpolbul.2022.113393
63. Virtual radar ice buoys – a method for measuring fine-scale sea ice drift J. Karvonen 10.5194/tc-10-29-2016
64. 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
65. 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
66. 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
67. Lagrangian transport across the upper Arctic waters in the Canada Basin F. Balibrea‐Iniesta et al. 10.1002/qj.3404
68. Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas E. Silva et al. 10.3389/fmars.2021.746327
69. Ensemble quantification of short-term predictability of the ocean dynamics at a kilometric-scale resolution: a Western Mediterranean test case S. Leroux et al. 10.5194/os-18-1619-2022
70. Synoptic-scale analysis of mechanisms driving surface chlorophyll dynamics in the North Atlantic A. Ferreira et al. 10.5194/bg-12-3641-2015
71. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
72. Empirical error functions for monthly mean Arctic sea‐ice drift H. Sumata et al. 10.1002/2015JC011151
73. Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
74. Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation S. Metref et al. 10.3390/rs11111336
75. Estimating Winter Arctic Sea Ice Motion Based on Random Forest Models L. Zhang et al. 10.3390/rs16030581
76. Atlantic-Origin Overflow Water in the East Greenland Current L. Håvik et al. 10.1175/JPO-D-18-0216.1
77. Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. 10.1080/1755876X.2021.1946240
78. CICE-LETKF Ensemble Analysis System with Application to Arctic Sea Ice Initialization X. Liu et al. 10.3390/jmse9090920
79. 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
80. Artificial Neural Network for the Short-Term Prediction of Arctic Sea Ice Concentration M. Choi et al. 10.3390/rs11091071
81. Assessing net primary production in the northwestern Barents Sea using in situ, remote sensing and modelling approaches L. Castro de la Guardia et al. 10.1016/j.pocean.2023.103160
82. 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
83. Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al. 10.1007/s00382-015-2673-3
84. Polar low variability and future projections for the Nordic and Barents Seas O. Landgren et al. 10.1002/qj.3608
85. Towards improving short-term sea ice predictability using deformation observations A. Korosov et al. 10.5194/tc-17-4223-2023
86. Sea-ice information and forecast needs for industry maritime stakeholders P. Wagner et al. 10.1080/1088937X.2020.1766592
87. A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al. 10.5194/npg-21-869-2014
88. On the consistency of the local ensemble square root Kalman filter perturbation update M. Bocquet & A. Farchi 10.1080/16000870.2019.1613142
89. 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
90. Sea ice forecast verification in the Canadian Global Ice Ocean Prediction System G. Smith et al. 10.1002/qj.2555
91. Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic M. Kimmritz et al. 10.1029/2019MS001825
92. Atmospheric forcing of rapid marine-terminating glacier retreat in the Canadian Arctic Archipelago A. Cook et al. 10.1126/sciadv.aau8507
93. 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
94. Estimating a mean transport velocity in the marginal ice zone using ice–ocean prediction systems G. Sutherland et al. 10.5194/tc-16-2103-2022
95. 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
96. neXtSIM: a new Lagrangian sea ice model P. Rampal et al. 10.5194/tc-10-1055-2016
97. An adaptive quality control procedure for data assimilation P. Sakov & P. Sandery 10.1080/16000870.2017.1318031
98. 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
99. Projected 21st-century changes to Arctic marine access S. Stephenson et al. 10.1007/s10584-012-0685-0
100. On the Choice of an Optimal Localization Radius in Ensemble Kalman Filter Methods P. Kirchgessner et al. 10.1175/MWR-D-13-00246.1
101. 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
102. A comparison of an operational wave–ice model product and drifting wave buoy observation in the central Arctic Ocean: investigating the effect of sea-ice forcing in thin ice cover T. Nose et al. 10.33265/polar.v42.8874
103. ARGO data assimilation into the ocean dynamics model with high spatial resolution using Ensemble Optimal Interpolation (EnOI) M. Kaurkin et al. 10.1134/S0001437016060059
104. 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
105. PolarGAN: Creating realistic Arctic sea ice concentration images with user-defined geometric preferences M. Kim et al. 10.1016/j.engappai.2023.106920
106. Economic Feasibility and Possibility of Shipping via Northern Sea Route N. Otsuka 10.5988/jime.53.694
107. Internal variability of a 3-D ocean model B. Büchmann & J. Söderkvist 10.3402/tellusa.v68.30417
108. LORA: a local ensemble transform Kalman filter-based ocean research analysis S. Ohishi et al. 10.1007/s10236-023-01541-3
109. 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
110. 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
111. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. 10.1017/jog.2019.26
112. Arctic shipping trends during hazardous weather and sea-ice conditions and the Polar Code’s effectiveness M. Müller et al. 10.1038/s44183-023-00021-x
113. 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
114. Lagrangian Perspective on the Origins of Denmark Strait Overflow A. Saberi et al. 10.1175/JPO-D-19-0210.1
115. Characterizing vertical upper ocean temperature structures in the European Arctic through unsupervised machine learning E. Thomas & M. Müller 10.1016/j.ocemod.2022.102092
116. 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
117. Bridging observations, theory and numerical simulation of the ocean using machine learning M. Sonnewald et al. 10.1088/1748-9326/ac0eb0
118. An ensemble Kalman filter-based ocean data assimilation system improved by adaptive observation error inflation (AOEI) S. Ohishi et al. 10.5194/gmd-15-9057-2022
119. 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
120. 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
121. RELATIONSHIP BETWEEN SEA ICE CONDITION AND NAVIGABLE SPEED ALONG THE NORTHERN SEA ROUTE N. OTSUKA et al. 10.2208/jscejoe.74.I_25
122. 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
123. Altimetry Data Assimilation Into a Numerical Model of Ocean Dynamics in the South Atlantic I. Deinego et al. 10.1134/S0001437021050039
124. Perturbation of Boundary Conditions to Create Appropriate Ensembles for Regional Data Assimilation in Coastal Estuary Modeling Y. Matsuzaki & T. Inoue 10.1029/2021JC017911
125. Artificial Neural Network Model for Estimating Ocean Heat Content in the Sea Ice-Covered Arctic Regions Using Satellite Data K. Prakash & P. Shanmugam 10.1109/ACCESS.2022.3213942
126. 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
127. Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020 S. Cheng et al. 10.5194/tc-17-1735-2023
128. 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
129. 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
130. An evaluation of high-resolution ocean reanalyses in the California current system D. Amaya et al. 10.1016/j.pocean.2022.102951
131. Floe Size Effect on Wave‐Ice Interactions: Possible Effects, Implementation in Wave Model, and Evaluation G. Boutin et al. 10.1029/2017JC013622
132. Constraining energetic slope currents through assimilation of high-frequency radar observations A. Sperrevik et al. 10.5194/os-11-237-2015
133. Ensemble kalman variational objective: a variational inference framework for sequential variational auto-encoders T. Ishizone et al. 10.1587/nolta.14.691
134. NorCPM1 and its contribution to CMIP6 DCPP I. Bethke et al. 10.5194/gmd-14-7073-2021
135. A Simple Bias Correction Scheme in Ocean Data Assimilation C. Yan & J. Zhu 10.3390/jmse11010205
136. Uncertainty of Arctic summer ice drift assessed by high‐resolution SAR data H. Sumata et al. 10.1002/2015JC010810
137. Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model Y. Wang et al. 10.3389/fclim.2022.918572
138. On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter M. Tondeur et al. 10.1007/s10955-020-02525-z
139. Framework for an Ocean‐Connected Supermodel of the Earth System F. Counillon et al. 10.1029/2022MS003310
140. Monitoring the spreading of the Amazon freshwater plume by MODIS, SMOS, Aquarius, and TOPAZ A. Korosov et al. 10.1002/2014JC010155
141. Dynamics of an assembly of rigid ice floes M. Rabatel et al. 10.1002/2015JC010909
142. Presentation of the dynamical core of neXtSIM, a new sea ice model S. Bouillon & P. Rampal 10.1016/j.ocemod.2015.04.005
143. Ocean Reanalyses: Recent Advances and Unsolved Challenges A. Storto et al. 10.3389/fmars.2019.00418
144. An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
145. Partitioning of Kinetic Energy in the Arctic Ocean's Beaufort Gyre M. Zhao et al. 10.1029/2018JC014037
146. Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
147. Satellite-derived multi-year trend in primary production in the Arctic Ocean D. Petrenko et al. 10.1080/01431161.2012.762698
148. 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
149. Sea‐surface temperature and salinity product comparison against external in situ data in the Arctic Ocean J. Stroh et al. 10.1002/2015JC011005
150. 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
151. Decorrelation scales for Arctic Ocean hydrography – Part I: Amerasian Basin H. Sumata et al. 10.5194/os-14-161-2018
152. 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
153. Subinertial Variability in Four Southeast Greenland Fjords in Realistic Numerical Simulations R. Gelderloos et al. 10.1029/2022JC018820
154. Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation Y. Wang et al. 10.1016/j.ocemod.2017.04.007
155. An ensemble Kalman filter system with the Stony Brook Parallel Ocean Model v1.0 S. Ohishi et al. 10.5194/gmd-15-8395-2022
156. 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
157. 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
158. Surface currents in operational oceanography: Key applications, mechanisms, and methods J. Röhrs et al. 10.1080/1755876X.2021.1903221
159. Predictability of the extreme precipitation days in central Eastern Africa during january to may period J. Kazora et al. 10.1007/s40808-024-01967-8
160. 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
161. Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method G. Lyu et al. 10.1002/qj.4002
162. Wave–sea-ice interactions in a brittle rheological framework G. Boutin et al. 10.5194/tc-15-431-2021
163. 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
164. 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
165. 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
166. Simplified Kalman smoother and ensemble Kalman smoother for improving reanalyses B. Dong et al. 10.5194/gmd-16-4233-2023
167. Short‐term sea ice forecasting: An assessment of ice concentration and ice drift forecasts using the U.S. Navy's Arctic Cap Nowcast/Forecast System D. Hebert et al. 10.1002/2015JC011283
168. Storm surge and seiche modelling in the Adriatic Sea and the impact of data assimilation M. Bajo et al. 10.1002/qj.3544
169. 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
170. 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
171. 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
172. The smoother extension of the nonlinear ensemble transform filter P. Kirchgessner et al. 10.1080/16000870.2017.1327766
173. Clusters of interannual sea ice variability in the northern hemisphere N. Fučkar et al. 10.1007/s00382-015-2917-2
174. 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
175. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
176. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
177. Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean D. Mignac et al. 10.5194/os-11-195-2015
178. DADA: data assimilation for the detection and attribution of weather and climate-related events A. Hannart et al. 10.1007/s10584-016-1595-3
179. Towards ensemble data assimilation for the Environment Canada Regional Ice Prediction System A. Shlyaeva et al. 10.1002/qj.2712
180. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
181. A Balanced Atmospheric Ensemble Forcing for Sea Ice Modeling in Southern Ocean H. Luo et al. 10.1029/2022GL101139
182. Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis J. Xie et al. 10.5194/os-19-269-2023
183. Modelling the barotropic sea level in the Mediterranean Sea using data assimilation M. Bajo et al. 10.5194/os-19-559-2023
184. 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
185. 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
186. Risk of oil contamination of fish eggs and larvae under different oceanic and weather conditions A. Samuelsen et al. 10.1093/icesjms/fsz035
187. A Maxwell elasto-brittle rheology for sea ice modelling V. Dansereau et al. 10.5194/tc-10-1339-2016
188. 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
189. Generalized Kalman Filter and Ensemble Optimal Interpolation, Their Comparison and Application to the Hybrid Coordinate Ocean Model K. Belyaev et al. 10.3390/math9192371
190. Evaluating altimetry-derived surface currents on the south Greenland shelf with surface drifters A. Coquereau & N. Foukal 10.5194/os-19-1393-2023
191. 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
192. Reflection and transmission of ocean wave spectra by a band of randomly distributed ice floes F. Montiel et al. 10.3189/2015AoG69A556
193. Rapid disintegration and weakening of ice shelves in North Greenland R. Millan et al. 10.1038/s41467-023-42198-2
194. 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
195. Improved Sea Ice Concentration Estimation Through Fusing Classified SAR Imagery and AMSR-E Data L. Wang et al. 10.1080/07038992.2016.1152547
196. Local analytical optimal nudging for assimilating AMSR2 sea ice concentration in a high-resolution pan-Arctic coupled ocean (HYCOM 2.2.98) and sea ice (CICE 5.1.2) model K. Wang et al. 10.5194/tc-17-4487-2023
197. Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans C. Yan & J. Zhu 10.3390/atmos14020220
198. Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration S. Chatterjee et al. 10.5194/tc-15-1307-2021
199. Review article: Comparison of local particle filters and new implementations A. Farchi & M. Bocquet 10.5194/npg-25-765-2018
200. 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
201. Combining Argo and Satellite Data Using Model-Derived Covariances: Blue Maps P. Oke et al. 10.3389/feart.2021.696985
202. Role of Greenland Sea Gyre Circulation on Atlantic Water Temperature Variability in the Fram Strait S. Chatterjee et al. 10.1029/2018GL079174
203. 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
204. Synthesis of new scientific challenges for GODAE OceanView A. Schiller et al. 10.1080/1755876X.2015.1049901
205. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
206. Calibration of sea ice drift forecasts using random forest algorithms C. Palerme & M. Müller 10.5194/tc-15-3989-2021
207. Evaluation of a global eddy-permitting hybrid coordinate ocean model Y. CHEN et al. 10.1080/16742834.2018.1490625
208. Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem S. Metref et al. 10.1002/qj.3513
209. 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
210. 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
211. Variability of Near-Surface Salinity in the Nordic Seas Over the Past Three Decades (1991-2019) J. Park et al. 10.3389/fmars.2022.969159
212. 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
213. Research priorities in support of ocean monitoring and forecasting at the Met Office J. Siddorn et al. 10.5194/os-12-217-2016
214. Greenlandic sea ice products with a focus on an updated operational forecast system L. Ponsoni et al. 10.3389/fmars.2023.979782
215. Relaxation Method for Assimilation of Sea Ice Concentration Data in the NEMO—LIM3 Multicategory Sea Ice Model B. Strukov et al. 10.3103/S1068373920020053
216. Modelling the long-term evolution of worst-case Arctic oil spills H. Blanken et al. 10.1016/j.marpolbul.2016.12.070
217. Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F T. Williams et al. 10.5194/tc-15-3207-2021
218. 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
219. 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
220. Seasonal Variability in Warm-Water Inflow toward Kangerdlugssuaq Fjord R. Gelderloos et al. 10.1175/JPO-D-16-0202.1
221. 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
222. An intercomparison of Arctic ice drift products to deduce uncertainty estimates H. Sumata et al. 10.1002/2013JC009724
223. 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
224. Implementation and evaluation of open boundary conditions for sea ice in a regional coupled ocean (ROMS) and sea ice (CICE) modeling system P. Duarte et al. 10.5194/gmd-15-4373-2022
225. Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model M. Durán Moro et al. 10.5194/tc-18-1597-2024
226. Surface Elevation Change of Glaciers Along the Coast of Prudhoe Land, Northwestern Greenland From 1985 to 2018 Y. Wang et al. 10.1029/2020JF006038
227. 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
228. 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
229. Effects of including the adjoint sea ice rheology on estimating Arctic Ocean–sea ice state G. Lyu et al. 10.5194/os-19-305-2023
230. Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar J. Karvonen et al. 10.5194/tc-16-1821-2022
231. The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system N. Williams et al. 10.5194/tc-17-2509-2023
232. Impact of atmospheric forcing on SST biases in the LETKF-based ocean research analysis (LORA) S. Ohishi et al. 10.1016/j.ocemod.2024.102357
233. 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
234. 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
235. Annual and seasonal fCO2 and air–sea CO2 fluxes in the Barents Sea S. Lauvset et al. 10.1016/j.jmarsys.2012.12.011
236. 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
237. On the multi-fractal scaling properties of sea ice deformation P. Rampal et al. 10.5194/tc-13-2457-2019
238. Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
239. Comparisons of different ensemble schemes for glider data assimilation on West Florida Shelf C. Pan et al. 10.1016/j.ocemod.2014.06.005
240. 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