194 citations as recorded by crossref.

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11. Assimilation of Sea Surface Temperature in a Global Hybrid Coordinate Ocean Model Y. Chen et al. 10.1007/s00376-018-7284-6
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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
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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. 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
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25. 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
26. 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
27. From Observation to Information and Users: The Copernicus Marine Service Perspective P. Le Traon et al. 10.3389/fmars.2019.00234
28. 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
29. Assimilation of semi‐qualitative observations with a stochastic ensemble Kalman filter A. Shah et al. 10.1002/qj.3381
30. Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation V. Vervatis et al. 10.1016/j.ocemod.2021.101781
31. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
32. Regional-scale phytoplankton dynamics and their association with glacier meltwater runoff in Svalbard T. Dunse et al. 10.5194/bg-19-271-2022
33. The role of atmospheric uncertainty in Arctic summer sea ice data assimilation and prediction Q. Yang et al. 10.1002/qj.2523
34. 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
35. Toward Optimization of Rheology in Sea Ice Models through Data Assimilation J. Stroh et al. 10.1175/JTECH-D-18-0239.1
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37. Status and future of data assimilation in operational oceanography M. Martin et al. 10.1080/1755876X.2015.1022055
38. Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction S. Penny et al. 10.3389/fmars.2019.00391
39. 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
40. 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
41. 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
42. 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
43. Prediction of Sea Ice Motion With Convolutional Long Short-Term Memory Networks Z. Petrou & Y. Tian 10.1109/TGRS.2019.2909057
44. An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
45. Relating model bias and prediction skill in the equatorial Atlantic F. Counillon et al. 10.1007/s00382-020-05605-8
46. Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories P. Rampal et al. 10.5194/tc-10-1513-2016
47. 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
48. 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
49. 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
50. A stochastic operational forecasting system of the Black Sea: Technique and validation L. Vandenbulcke & A. Barth 10.1016/j.ocemod.2015.07.010
51. Comparison of EnOI and EnKF regional ocean reanalysis systems P. Sakov & P. Sandery 10.1016/j.ocemod.2015.02.003
52. Enhanced Adaptive Inflation Algorithm for Ensemble Filters M. El Gharamti 10.1175/MWR-D-17-0187.1
53. Seismic exploration noise reduction in the Marginal Ice Zone D. Tollefsen & H. Sagen 10.1121/1.4885547
54. Quantitative assessment of two oil-in-ice surface drift algorithms V. de Aguiar et al. 10.1016/j.marpolbul.2022.113393
55. Virtual radar ice buoys – a method for measuring fine-scale sea ice drift J. Karvonen 10.5194/tc-10-29-2016
56. 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
57. 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
58. 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
59. Lagrangian transport across the upper Arctic waters in the Canada Basin F. Balibrea‐Iniesta et al. 10.1002/qj.3404
60. Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas E. Silva et al. 10.3389/fmars.2021.746327
61. Synoptic-scale analysis of mechanisms driving surface chlorophyll dynamics in the North Atlantic A. Ferreira et al. 10.5194/bg-12-3641-2015
62. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
63. Empirical error functions for monthly mean Arctic sea‐ice drift H. Sumata et al. 10.1002/2015JC011151
64. 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
65. Reduction of Spatially Structured Errors in Wide-Swath Altimetric Satellite Data Using Data Assimilation S. Metref et al. 10.3390/rs11111336
66. Atlantic-Origin Overflow Water in the East Greenland Current L. Håvik et al. 10.1175/JPO-D-18-0216.1
67. Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. 10.1080/1755876X.2021.1946240
68. CICE-LETKF Ensemble Analysis System with Application to Arctic Sea Ice Initialization X. Liu et al. 10.3390/jmse9090920
69. 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
70. Artificial Neural Network for the Short-Term Prediction of Arctic Sea Ice Concentration M. Choi et al. 10.3390/rs11091071
71. 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
72. Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al. 10.1007/s00382-015-2673-3
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75. A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al. 10.5194/npg-21-869-2014
76. On the consistency of the local ensemble square root Kalman filter perturbation update M. Bocquet & A. Farchi 10.1080/16000870.2019.1613142
77. 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
78. Sea ice forecast verification in the Canadian Global Ice Ocean Prediction System G. Smith et al. 10.1002/qj.2555
79. Impact of Ocean and Sea Ice Initialisation On Seasonal Prediction Skill in the Arctic M. Kimmritz et al. 10.1029/2019MS001825
80. Atmospheric forcing of rapid marine-terminating glacier retreat in the Canadian Arctic Archipelago A. Cook et al. 10.1126/sciadv.aau8507
81. 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
82. 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
83. neXtSIM: a new Lagrangian sea ice model P. Rampal et al. 10.5194/tc-10-1055-2016
84. An adaptive quality control procedure for data assimilation P. Sakov & P. Sandery 10.1080/16000870.2017.1318031
85. 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
86. Projected 21st-century changes to Arctic marine access S. Stephenson et al. 10.1007/s10584-012-0685-0
87. On the Choice of an Optimal Localization Radius in Ensemble Kalman Filter Methods P. Kirchgessner et al. 10.1175/MWR-D-13-00246.1
88. 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
89. ARGO data assimilation into the ocean dynamics model with high spatial resolution using Ensemble Optimal Interpolation (EnOI) M. Kaurkin et al. 10.1134/S0001437016060059
90. 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
91. Economic Feasibility and Possibility of Shipping via Northern Sea Route N. Otsuka 10.5988/jime.53.694
92. Internal variability of a 3-D ocean model B. Büchmann & J. Söderkvist 10.3402/tellusa.v68.30417
93. 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
94. 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
95. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. 10.1017/jog.2019.26
96. 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
97. Lagrangian Perspective on the Origins of Denmark Strait Overflow A. Saberi et al. 10.1175/JPO-D-19-0210.1
98. 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
99. Bridging observations, theory and numerical simulation of the ocean using machine learning M. Sonnewald et al. 10.1088/1748-9326/ac0eb0
100. 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
101. 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
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104. 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
105. Altimetry Data Assimilation Into a Numerical Model of Ocean Dynamics in the South Atlantic I. Deinego et al. 10.1134/S0001437021050039
106. 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
107. 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
108. 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
109. Floe Size Effect on Wave‐Ice Interactions: Possible Effects, Implementation in Wave Model, and Evaluation G. Boutin et al. 10.1029/2017JC013622
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111. NorCPM1 and its contribution to CMIP6 DCPP I. Bethke et al. 10.5194/gmd-14-7073-2021
112. Uncertainty of Arctic summer ice drift assessed by high-resolution SAR data H. Sumata et al. 10.1002/2015JC010810
113. On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter M. Tondeur et al. 10.1007/s10955-020-02525-z
114. Monitoring the spreading of the A mazon freshwater plume by MODIS , SMOS , A quarius, and TOPAZ A. Korosov et al. 10.1002/2014JC010155
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118. An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
119. Partitioning of Kinetic Energy in the Arctic Ocean's Beaufort Gyre M. Zhao et al. 10.1029/2018JC014037
120. Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
121. Satellite-derived multi-year trend in primary production in the Arctic Ocean D. Petrenko et al. 10.1080/01431161.2012.762698
122. 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
123. 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
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125. Decorrelation scales for Arctic Ocean hydrography – Part I: Amerasian Basin H. Sumata et al. 10.5194/os-14-161-2018
126. 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
127. Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation Y. Wang et al. 10.1016/j.ocemod.2017.04.007
128. 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
129. 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
130. Surface currents in operational oceanography: Key applications, mechanisms, and methods J. Röhrs et al. 10.1080/1755876X.2021.1903221
131. 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
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133. Wave–sea-ice interactions in a brittle rheological framework G. Boutin et al. 10.5194/tc-15-431-2021
134. 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
135. 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
136. 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
137. 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
138. Storm surge and seiche modelling in the Adriatic Sea and the impact of data assimilation M. Bajo et al. 10.1002/qj.3544
139. 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
140. 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
141. 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
142. The smoother extension of the nonlinear ensemble transform filter P. Kirchgessner et al. 10.1080/16000870.2017.1327766
143. Clusters of interannual sea ice variability in the northern hemisphere N. Fučkar et al. 10.1007/s00382-015-2917-2
144. 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
145. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
146. Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean D. Mignac et al. 10.5194/os-11-195-2015
147. DADA: data assimilation for the detection and attribution of weather and climate-related events A. Hannart et al. 10.1007/s10584-016-1595-3
148. Towards ensemble data assimilation for the Environment Canada Regional Ice Prediction System A. Shlyaeva et al. 10.1002/qj.2712
149. 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
150. 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
151. 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
152. Risk of oil contamination of fish eggs and larvae under different oceanic and weather conditions A. Samuelsen et al. 10.1093/icesjms/fsz035
153. A Maxwell elasto-brittle rheology for sea ice modelling V. Dansereau et al. 10.5194/tc-10-1339-2016
154. 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
155. Generalized Kalman Filter and Ensemble Optimal Interpolation, Their Comparison and Application to the Hybrid Coordinate Ocean Model K. Belyaev et al. 10.3390/math9192371
156. 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
157. Reflection and transmission of ocean wave spectra by a band of randomly distributed ice floes F. Montiel et al. 10.3189/2015AoG69A556
158. 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
159. Improved Sea Ice Concentration Estimation Through Fusing Classified SAR Imagery and AMSR-E Data L. Wang et al. 10.1080/07038992.2016.1152547
160. Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration S. Chatterjee et al. 10.5194/tc-15-1307-2021
161. Review article: Comparison of local particle filters and new implementations A. Farchi & M. Bocquet 10.5194/npg-25-765-2018
162. 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
163. Combining Argo and Satellite Data Using Model-Derived Covariances: Blue Maps P. Oke et al. 10.3389/feart.2021.696985
164. Role of Greenland Sea Gyre Circulation on Atlantic Water Temperature Variability in the Fram Strait S. Chatterjee et al. 10.1029/2018GL079174
165. 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
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167. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
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169. Evaluation of a global eddy-permitting hybrid coordinate ocean model Y. CHEN et al. 10.1080/16742834.2018.1490625
170. Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem S. Metref et al. 10.1002/qj.3513
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174. Research priorities in support of ocean monitoring and forecasting at the Met Office J. Siddorn et al. 10.5194/os-12-217-2016
175. Relaxation Method for Assimilation of Sea Ice Concentration Data in the NEMO—LIM3 Multicategory Sea Ice Model B. Strukov et al. 10.3103/S1068373920020053
176. Modelling the long-term evolution of worst-case Arctic oil spills H. Blanken et al. 10.1016/j.marpolbul.2016.12.070
177. Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F T. Williams et al. 10.5194/tc-15-3207-2021
178. 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
179. 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
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181. 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
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